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Builds and maintains scalable data pipelines for EA’s Localization team, processing structured/unstructured data to support AI/ML and analytics. Focuses on ETL/ELT, cloud-based solutions, and ensuring data integrity for global game localization.
DevOps/Software Engineer blending backend development, recurring data ingestion operations, and CI/CD/runtime operations for a pharmacy solutions company, using AWS, Python, and SQL.
Designs 3D visualizations, animations, and multimedia assets for aerospace marketing and proposals, using tools like Maya, Blender, and Adobe Creative Cloud.
Senior Data Engineer responsible for modernising a legacy MS SQL Server platform to AWS-native services (Aurora PostgreSQL, AWS Glue, Redshift), owning data ingestion, transformation, modelling and reporting with CI/CD for data pipelines.
A senior engineer who resolves complex Spark/ML/AI issues for Databricks’ largest customers, trains teams, and collaborates cross-functionally to deliver technical solutions aligned with business goals.
Senior Data Engineer to modernize legacy SQL Server systems to AWS-native data stack (Aurora PostgreSQL, Glue, Redshift, QuickSight) using Python/PySpark and CI/CD.
Senior Data Engineer modernising a legacy MS SQL Server data platform (SSIS, SSRS, SSAS) to AWS-native services including Amazon Aurora PostgreSQL, AWS Glue, Amazon Redshift, and Snowflake, with a focus on ETL migration and cloud data solutions in Sydney.
A Data QA Engineer who writes SQL/Python test scripts to validate data warehouse, ETL pipelines, and BI dashboards for accuracy and performance, ensuring high-volume data integrity.
Data Engineer building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Leads a team of data analysts and engineers in São Paulo or Campinas, building scalable analytics and ML models to drive AB InBev’s B2B and DTC growth using SQL, Python, Power BI, and cloud platforms like AWS/Azure.
Senior Data Engineer designing and building scalable cloud-based data pipelines and data warehouse solutions using Snowflake, dbt, AWS, and Python within the supply chain domain.
Senior AWS Data Engineer Full-time Hybrid – Lafayette, LA | Knoxville, TN | Birmingham, AL | Columbia, SC Position Overview Seeking a Senior AWS Data Engineer to develop, enhance, and maintain enterprise risk analytics…
Senior Data Engineer designing data pipelines, a multitenant data warehouse, and event-oriented pipelines with RAG capabilities using AWS (Glue, Redshift, RDS, Kinesis/Kafka), Python, SQL, and Spark in a hybrid role.
Senior Data Scientist on Plaid's Network Value (Credit) team, performing product analytics, experimentation, and data modeling using SQL, Python, Redshift, Databricks, dbt, and Airflow to shape Credit product strategy and grow the consumer financial network.
The Full Stack Developer will design and scale cloud architectures using Node.js, Python, and Angular while managing AWS infrastructure and data pipelines. The role involves building dynamic interfaces, backend services, and implementing AI agents within a hybrid work environment in Santiago.
ACL is seeking a Full Stack Developer to design and scale AWS cloud architectures using Node.js, Python, and Angular. The role involves working with various AWS services and CI/CD tools in a hybrid environment in Santiago, Chile.
Fingerprint is looking for a backend engineer to build and scale high-performance APIs and real-time data processing systems for fraud detection. The role requires strong expertise in Go and Node.js and involves working in a fully remote, globally distributed team.
This role is for a Senior Backend Engineer with an SRE focus to build and maintain high-performance fraud detection APIs. You will work in a 100% remote environment using Go and Node.js to design scalable systems, manage production reliability, and participate in on-call rotations.
Design and maintain scalable cloud data pipelines using AWS services like EMR, S3, Redshift, and Airflow, with real-time processing via Kafka and Spark Streaming.
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
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