Vagas remotas de AWS com elegibilidade clara.

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

• Senior
• AWS
• Docker
• Kubernetes
• +4

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

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

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

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

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

, 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 & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

• Middle
• AWS
• CI/CD
• Docker
• +7

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

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

• Middle
• AWS
• Azure
• Python
• +2

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

• Senior
• AWS
• CI/CD
• Docker
• +3

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

Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to

• Senior
• AWS

Design and build scalable, well-tested DBT models.

• Senior
• AWS
• CI/CD
• Python
• +2

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

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

(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

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

Build new structured datasets, including scraping accelerators, Form D filings and dynamic web sources.

• Middle
• AWS
• Docker
• GCP
• +3

Build & Modernize Core Data Infrastructure: Lead the evolution of our existing integrations toward a modern, orchestrated architecture.

• Lead
• AWS
• CI/CD
• REST

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

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

Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)

• Senior
• AWS
• Azure
• CI/CD
• +4

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

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, 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

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

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

Act as a technical advisor for the integration between Databricks and data privacy/governance tools.

• Senior
• AWS
• Azure
• CI/CD
• +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

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

Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.

• Senior
• AWS
• Python
• Snowflake

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

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

• Senior
• AWS
• Docker
• Python
• +2

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Senior
• AWS
• Azure
• CI/CD
• +7

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

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

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Lead
• AWS
• Azure
• CI/CD
• +7

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

• Senior
• AWS
• Azure
• CI/CD
• +4

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

Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources

• Senior
• AWS
• MongoDB
• Python
• +3

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

• Senior
• AWS
• Azure
• CI/CD
• +3

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

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

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

are the core components of our service offerings. With a balanced view of strategy, people, process and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies

• Senior
• AWS
• Azure
• Snowflake

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

• Senior
• AWS
• CI/CD
• Python
• +2

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

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

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

Lead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards.

• Lead
• AWS
• Snowflake

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

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

• Middle
• AWS
• Azure
• GCP
• +6

Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.

• Senior
• AWS
• Azure
• GCP
• +4

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

• Senior
• AWS
• Azure
• Spark
• +1

Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.

• Senior
• AWS
• Azure
• GCP
• +4

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

Architect Scalable Pipelines: Oversee the design and deployment of large-scale distributed data processing jobs using PySpark on Amazon EMR clusters and serverless AWS Glue ETL jobs.

• Lead
• AWS
• Python
• Spark
• +1

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

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

• Senior
• AWS
• Azure
• GCP
• +4

Build and maintain robust data pipelines processing large volumes of data

• Senior
• AWS
• Azure
• Python
• +1

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products

• Senior
• AWS
• CI/CD
• Python
• +2

Review available data sources, access patterns, interfaces, and integration options

• Senior
• AWS
• Azure

The Snowflake platform is scalable, performant, secure, cost-efficient, and trusted across the organisation.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design and optimize complex data storage solutions, including data warehouses and data lakes.

• Senior
• AWS
• Azure
• Python
• +2

Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.

• Senior
• AWS
• Azure
• GCP
• +3

9:00 AM – 2:00 PM EST

• Senior
• AWS
• Python
• Snowflake
• +1

B.Tech, B.E., or Master's Degree in Computer Science or a similar discipline

• Senior
• AWS
• CI/CD
• Kubernetes
• +2

Develop and operationalize scalable and reliable data pipelines.

• Senior
• AWS
• CI/CD
• Python
• +1

Design and develop scalable and reliable data pipelines, ensuring high availability and performance.

• Senior
• AWS
• Azure
• Java
• +5

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Own the gold data layer. Transform messy, silver tables into curated, semantically rich, clean and documented gold datasets suitable for AI model development, including datasets and features reusable for AI development across projects.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources.

• Senior
• AWS
• Azure
• Java
• +4

Design, manage, and improve the data infrastructure required by the teams that consume data.

• Senior
• AWS
• CI/CD
• Python
• +1

Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction

• Lead
• AWS
• Azure
• GCP
• +1