Veja vagas remotas de TI que aceitam candidatos em Estados Unidos.
Esta página reúne vagas remotas abertas para candidatos em Estados Unidos. Isso evita perder tempo com posições que parecem remotas, mas restringem contratação por país, fuso horário, folha de pagamento ou política interna.
Combine país e tecnologia para comparar cargos por stack, senioridade, países aceitos e prontidão para aplicação.
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Penn Foster · Data Science
Developing Python, SQL, and PySpark based applications and data flows in Databricks
TheHiveCareers · Data Science
and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security
Innovatus Technology Consulting · Data Science
Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.
Ardent MC · Data Science
Data Engineering & Pipeline DevelopmentDesign, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Dorle Controls LLC · Data Science
, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.
Bixal · Data Science
Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
Appsilon · Data Science
Design, build, and maintain scalable data pipelines across diverse environments.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Cutsforth, LLC · Data Science
Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads
Imagine Pediatrics
Design and build scalable, well-tested DBT models.
Nex · Data Science
Connect with cross-functional teams: The data environment we’re building will be used by members of the Accounting, Finance, Supply Chain, and Publishing teams, among others.
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
Samsara · Revenue Operations
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
Rackner · Data Science
Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.
Doximity · Developer
Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
Redstone Federal Credit Union · Data Science
Build, maintain and improve the enterprise data warehouse. Monitor & improve performance, implement patches and upgrades, minimize database downtime and manage parameters to provide fast query responses.
Astrana Health · Data Science
Put Patients First
Doximity · Developer
Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
DAS42 | Data & Analytics Consultancy
Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions.
Allata · Data Science
Design, develop, and maintain scalable data pipelines using modern distributed data processing platforms and cloud environments.
NBCUniversal · Data Science
Support partner onboarding into clean room environments across platforms such as Snowflake, LiveRamp, Databricks, or similar technologies.
Sparklight Enterprise · Data Science
Designs and develops moderately complex queries, objects, ETL packages, reporting structures, and other objects necessary to support detailed analysis and self-service reporting needs.
Block · 10109 Risk - Risk ML & DS
Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Databricks · Field Engineering - FE Direct Regulated
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Databricks · Field Engineering - FE Direct Emerging
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Mozilla · Core Services
Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on
Mozilla · Core Services
Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on
Mozilla · Core Services
Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on
Stravito
Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
Data Ideology · Data Science
Design and build scalable, secure, and cost-effective data solutions in Snowflake.
OpenTeams · Data Science
Design and build of ETL processes in collaboration with software and model development teams.
Compass Group USA
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
VillageMD
Understand and influence logging to support our data flow, architecting logging best practices where needed.
Root, Inc. · Developer
Partner with Finance, Product, Data Science, Analytics, and experts in the Insurance group to set the strategy for the quarters to come.
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
Hone Health · Data Science
Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
3Pillar Global
Understanding the business requirements
Fortune Brands
Developing & maintaining ETL/ELT pipelines
Abridge · Builder
Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.
Privia Health
Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.
Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics
Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.
Bright Vision Technologies
Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient
Spokeo
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Automate and integrate new components into the data pipeline.
goPro Consultancy Group ltd. · Data Science
Collecting large, complex sets of data that meet non-functional and functional business requirements
Everfi
Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture
Verantos
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
Wurl, LLC
Evolve and streamline Wurl’s data ETL processes, Business Intelligence dashboards (internal and external) enhancement, data workflows (with emphasis on scale, security, maintainability, and validation), data warehousing processes
Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security.
McKesson
Experience in data engineering with Databricks and AWS
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
C the Signs
Lead design and evolution of our cloud-native data platform built primarily on Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow (Cloud Composer), and Healthcare API.
SugarCRM
Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows
Forterra · Data Science
The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform.
Integres, LLC
5+ years of experience in data engineering
Sparteo
FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025
General Dynamics Information Technology
Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
NirYu · Data Science
Build new structured datasets, including scraping accelerators, Form D filings and dynamic web sources.
Block · 10416 Engineering - Business Platform
Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.
Block · 10416 Engineering - Business Platform
Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.
Centene Corporation
Design, build, and own scalable data pipelines that ingest external and internal data into Snowflake, including automation of file-based ingestion processes.
Honor · Data Science
Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.
MediaRadar
Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.
Guidehouse · Data Science
Design, develop, and deploy end-to-end AI/ML applications, with a focus on Retrieval-Augmented Generation systems, AI chatbots, and agentic workflows.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Block · 11003 Risk - Prod Dev - Square
Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.
Airbnb · Software Engineering
Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
Airbnb · Software Engineering
Define and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production
Airbnb · Software Engineering
As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques.
Instacart · Software Engineering
You will be part of a small team with a large amount of ownership and surface area, given that the tooling is used by the entire company.
Instacart · Customer Experience & Operations
Program Operations: Operate the QA cadences end-to-end — daily anomaly standups, weekly quality reviews, monthly business reviews, and quarterly rubric calibration sessions.
Instacart · Customer Experience & Operations
Program Operations: Operate the QA cadences end-to-end — daily anomaly standups, weekly quality reviews, monthly business reviews, and quarterly rubric calibration sessions.
Instacart · Data Science
Own analytical frameworks that guide the product roadmap.
Affirm · Infrastructure Platform Eng
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.
Affirm · Infrastructure Platform Eng
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.
Samsara · Platform
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
Samsara · Platform
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
Calendly · Engineering
Builds new AI products for Calendly’s customers, bringing new capabilities to life.
Calendly · Engineering
Define and execute the long-term strategy for Calendly’s data platform and ecosystem.
Calendly · Engineering
Drives business insights, strategic decision making, executive level and cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - FE Direct Regulated
You work with multiple clients as the main technical voice for Databricks.
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Field Engineering - FE Direct Enterprise
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - Other
Solutions Architect
Databricks · Field Engineering - FE Direct Regulated
You work with multiple clients as the main technical voice for Databricks.
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering
You work with multiple clients as the main technical voice for Databricks.
Databricks · Field Engineering
You work with multiple clients as the main technical voice for Databricks.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Twilio · Engineering
Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads.
Mozilla · Core Services
Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
Mozilla · Core Services
Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
Grafana Labs · Sales Operations
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Sales Operations
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Datadog · Community
Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
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