Vagas remotas de SQL com elegibilidade clara.

Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).

• Senior
• Salesforce
• SQL

Pipeline Development: Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers.

• Senior
• CI/CD
• Python
• Snowflake
• +2

Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data. Perform all needed data cleansing and transformation to improve data quality.

• Senior
• SQL

Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data

• Senior
• AWS
• CI/CD
• MongoDB
• +3

Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.

• Senior
• AWS
• Azure
• CI/CD
• +5

Developing Python, SQL, and PySpark based applications and data flows in Databricks

• Senior
• Azure
• Python
• Spark
• +1

and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security

• Senior
• Java
• Python
• SQL
• +4

Any experience with operational data science, machine learning or artificial intelligence solutions

• Senior
• Azure
• SQL

Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.

• Middle
• AWS
• Azure
• CI/CD
• +3

Data Engineering & Pipeline DevelopmentDesign, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.

• Middle
• Python
• REST
• SQL

, 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.

• Senior
• AWS
• Azure
• CI/CD
• +5

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

• Senior
• AWS
• CI/CD
• Python
• +2

Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment

• Middle
• AWS
• PostgreSQL
• SQL

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, build, and maintain scalable data pipelines across diverse environments.

• Senior
• AWS
• Azure
• CI/CD
• +7

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads

• Senior
• AWS
• Azure
• GCP
• +3

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.

• Senior
• Azure
• SQL

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.

• Senior
• AWS
• Python
• SQL

Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation

• Middle
• Azure
• Snowflake
• SQL

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4

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

• Python
• Salesforce
• Snowflake
• +2

Build scalable ingestion and transformation with tests and documentation

• Middle
• Azure
• Python
• Snowflake
• +1

Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems

• Middle
• AWS
• Azure
• CI/CD
• +3

Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.

• Middle
• AWS
• Python
• Spark
• +1

Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.

• Lead
• Python
• SQL

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.

• Junior
• Python
• Snowflake
• SQL

Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.

• Middle
• AWS
• Azure
• GCP
• +3

Put Patients First

• Middle
• AWS
• Azure
• GCP
• +4

Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.

• Lead
• Python
• SQL

(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business

• Middle
• AWS
• Azure
• CI/CD
• +3

Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)

• Middle
• Azure
• CI/CD
• Spark
• +1

Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions.

• Senior
• AWS
• Python
• Snowflake
• +1

Design, develop, and maintain scalable data pipelines using modern distributed data processing platforms and cloud environments.

• Middle
• AWS
• Azure
• CI/CD
• +3

Support partner onboarding into clean room environments across platforms such as Snowflake, LiveRamp, Databricks, or similar technologies.

• Senior
• Python
• Snowflake
• SQL

Soporte y mantenimiento de un data warehouse en SQL Server con pipelines complejos

• Senior
• Azure
• SQL

Designs and develops moderately complex queries, objects, ETL packages, reporting structures, and other objects necessary to support detailed analysis and self-service reporting needs.

• Middle
• Azure
• Python
• SQL

Experiencia semi-senior trabajando con tecnologías de Business Intelligence de Microsoft, incluyendo desarrollo ETL con SSIS y creación de informes en Power BI.

• Middle
• Azure
• SQL

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

• Senior
• Python
• Snowflake
• SQL

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.

• Senior
• AWS
• Azure
• GCP
• +6

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

• Senior
• AWS
• Azure
• GCP
• +4

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

• Senior
• AWS
• Azure
• GCP
• +4

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.

• Senior
• AWS
• Azure
• GCP
• +6

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.

• Senior
• AWS
• Azure
• GCP
• +6

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

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

• Senior
• GCP
• Python
• SQL

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

• Senior
• GCP
• Python
• SQL

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

• Senior
• GCP
• Python
• SQL

The candidate must have complete understanding with hands-on experience in design, coding, and testing aspects

• Senior
• Python
• Spark
• SQL

Create and maintain optimal data pipeline architecture,

• Middle
• GCP
• Python
• SQL

Design, build, and operate end-to-end data pipelines (batch and near-real-time) that ingest, transform, and deliver data from diverse sources into the enterprise data platform.

• Senior
• AWS
• Azure
• CI/CD
• +7

Building and maintaining production-grade data pipelines in cloud data warehouses such as Google BigQuery or equivalent, following architectural standards set by the Director of Data and AI.

• Senior
• CI/CD
• Kubernetes
• LLM
• +3

Define and own the strategic architecture of Foodsmart's data platform, setting the technical direction for scalable, reliable, and governed data infrastructure.

• Senior
• Java
• Node.js
• PostgreSQL
• +4

Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.

• Senior
• AWS
• Azure
• Docker
• +6

Design and build scalable, secure, and cost-effective data solutions in Snowflake.

• Senior
• AWS
• Azure
• GCP
• +3

Design and build of ETL processes in collaboration with software and model development teams.

• Senior
• AWS
• GCP
• Python
• +1

Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.

• Senior
• AWS
• Azure
• GCP
• +2

Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.

• Senior
• AWS
• CI/CD
• PostgreSQL
• +3

Understand and influence logging to support our data flow, architecting logging best practices where needed.

• Senior
• AWS
• CI/CD
• Java
• +4

Partner with Finance, Product, Data Science, Analytics, and experts in the Insurance group to set the strategy for the quarters to come.

• Senior
• AWS
• Python
• Spark
• +1

Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.

• Middle
• Python
• SQL

Design, implement, and optimize data pipelines that extract, transform, and load data into Snowflake from multiple sources using Airflow and AWS services

• Senior
• AWS
• Snowflake
• SQL

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Developing & maintaining ETL/ELT pipelines

• Senior
• CI/CD
• Python
• Snowflake
• +1

Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.

• Senior
• AWS
• Azure
• GCP
• +4

Take ownership of undefined problems — dig in, scope the work, and ship solutions, whether that's a pipeline, a dashboard, a tracking implementation, or something we haven't thought of yet

• Middle
• GCP
• LLM
• Python
• +4

Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.

• Senior
• CI/CD
• GCP
• Python
• +3

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

• Senior
• CI/CD
• Python
• SQL

Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.

• Senior
• AWS
• LLM
• Python
• +3

Design, implement, and maintain scalable data pipelines to replicate and transform operational data from a production MongoDB environment into Google BigQuery for analytics and data warehousing.

• Senior
• JavaScript
• MongoDB
• Node.js
• +2

Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient

• Senior
• AWS
• Azure
• CI/CD
• +9

Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Automate and integrate new components into the data pipeline.

• Senior
• AWS
• Python
• Spark
• +1

Collecting large, complex sets of data that meet non-functional and functional business requirements

• Senior
• Azure
• Java
• Python
• +1

Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture

• Senior
• AWS
• Azure
• GCP
• +5

Develop and maintain scalable data pipelines to support business requirements.

• Senior
• Azure
• Python
• Spark
• +1

Participate in cross-functional meetings to define project objectives and scope.

• Senior
• Java
• JavaScript
• MongoDB
• +6

Architect, build, and maintain the infrastructure that moves and transforms Spoiler Alert's marketplace data reliably and at scale, effectively incorporating AI coding tools to build with quality and velocity

• Senior
• LLM
• SQL

Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

• Senior
• AWS
• CI/CD
• Docker
• +5

Design and implement scalable data models in BigQuery using dbt that power analytics, reporting, and operational insights

• Senior
• SQL

Take ownership of end-to-end data engineering projects.

• Senior
• AWS
• Docker
• Python
• +2

Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.

• Senior
• AWS
• Azure
• Python
• +3

Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings

• Senior
• CI/CD
• Docker
• Kubernetes
• +4

Large scale data pipelines built for the investor team supporting applications, feeds, and insight agents.

• Lead
• SQL

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

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security.

• Senior
• GCP
• Java
• Python
• +1

Experience in data engineering with Databricks and AWS

• Senior
• AWS
• CI/CD
• Python
• +2

Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.

• Senior
• AWS
• Azure
• Docker
• +5

Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies

• Senior
• AWS
• Azure
• Docker
• +6

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.

• Senior
• AWS
• GCP
• Python
• +1

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.

• Senior
• CI/CD
• Python
• Snowflake
• +1

5+ years of experience in data engineering

• Senior
• Azure
• Python
• SQL

Build and monitor large-scale data pipelines that ingest data from a variety of sources.

• Middle
• SQL

Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.

• Lead
• Azure
• SQL

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)

• Senior
• AWS
• CI/CD
• Docker
• +3

FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

• Senior
• CI/CD
• Golang
• Java
• +4

Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases

• Senior
• AWS
• Azure
• Java
• +2

Design and build scalable, well-tested DBT models.

• Senior
• AWS
• CI/CD
• Python
• +2

Create, develop, maintain, and leverage data pipelines, data models, reporting, and dashboards to solve business problems or assigned tasks in coordination with multiple teams.

• Senior
• GCP
• Snowflake
• SQL

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.

• Middle
• AWS
• Azure
• GCP
• +2

Al menos 3 años de experiencia laboral.

• Middle
• Azure
• Snowflake
• SQL

Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications.

• Middle
• CI/CD
• Python
• Spark
• +1

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

7+ years in data engineering

• Senior
• Azure
• Python
• Spark
• +1

Strong hands-on experience with Azure Data Factory.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge.

• Junior
• AWS
• SQL

Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data

• Middle
• AWS
• Azure
• GCP
• +4

At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.

• Senior
• Azure
• GCP
• Python
• +2

Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.

• Senior
• CI/CD
• Python
• Spark
• +1

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

Develop and optimize the data warehouse (BigQuery): design and maintain the raw → stage → final layer architecture.

• Middle
• SQL

Ingles avanzado C1.

• Senior
• Azure
• Spark
• SQL

Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.

• Middle
• AWS
• Azure
• GCP
• +6

Manage and maintain enterprise SQL databases, including tables, views, stored procedures, scheduled jobs, and data integrations from multiple sources.

• Senior
• REST
• SQL

Design and implement core components of our data pipelines and services in Go and Scala, with a focus on scalability, performance, and long-term maintainability.

• Senior
• Docker
• Kubernetes
• PostgreSQL
• +2

Designs and builds scalable data extracts, integrations, transformations, and data models.

• Senior
• AWS
• CI/CD
• Docker
• +2

Lead, mentor, and manage a team of Data Engineers to deliver high-quality data solutions.

• Senior
• AWS
• Docker
• Java
• +4

Build scalable, high-performance data infrastructure that transforms complex transactional and financial data into trusted datasets for regulatory reporting and business operations.

• Senior
• AWS
• Python
• Snowflake
• +1

Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.

• Senior
• Azure
• CI/CD
• REST
• +2

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.

• Senior
• AWS
• Azure
• Spark
• +1

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

• Senior
• AWS
• Azure
• CI/CD
• +4

Design and Build:Develop and implement scalable, secure, and cost-effective cloud-based data solutions.

• Senior
• GCP
• Python
• SQL

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Design and build scalable data engineer services that power analytics, reporting, machine learning, and AI workloads across Maropost products.

• Senior
• GCP
• LLM
• PostgreSQL
• +3

Design, build, and evolve Data Warehouses, Data Marts, and enterprise data models to support analytics and business decision-making

• Senior
• Python
• SQL