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Designs and executes environmental tests (temperature, acoustics, vibration, etc.) for aerospace systems, using LabView and analytical tools to validate hardware and report results.
This role is eligible for our hybrid work model: 2 days in-office This job posting is for an existing, currently vacant position. Staff Portfolio Release Manager Our Technology team is the backbone of our company:…
Build and deploy scalable ML infrastructure and real-time recommendation systems in Python/Go, collaborating with data scientists to drive user engagement for Shipt’s personalization platform.
Build and maintain scalable ETL/ELT pipelines and analytics infrastructure in AWS using PySpark, SQL, and orchestration tools to power financial products and reporting in a regulated environment.
Build and maintain Python-based data pipelines using Airflow and Medallion Architecture to ingest, transform, and deliver automotive data for analytics and reporting.
Build and optimize data pipelines, warehouses, and microservices for a bank’s modernization effort using Java, Python, and cloud tools like Kafka and Airflow.
Builds and maintains high-volume data pipelines for the U.S. Department of Justice’s digital evidence platform, handling structured/unstructured data (forensics, documents, multimedia) with strict integrity, auditability, and chain-of-custody controls.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Builds and maintains data pipelines, ETL processes, and data warehouses to extract, transform, and load large datasets from diverse sources (structured/unstructured) using Hadoop, PySpark, Airflow, and BigQuery. Focuses on data validation, automation, and creating actionable business insights via algorithms and SQL.
TransUnion's Job Applicant Privacy Notice Team Overview En TransUnion, estamos dedicados a encontrar formas en las que la información pueda utilizarse para ayudar a las personas a tomar decisiones mejores y más…
Designs and maintains scalable data pipelines using Spark, Hive, and Airflow for a healthcare tech client, building APIs, visualizations, and optimizing data infrastructure on AWS and Databricks.
Design and implement cloud-native data platforms (lakehouses, streaming pipelines) using Azure/AWS/GCP to support AI/ML and analytics at scale.
Build and optimize Python-based data pipelines and ETL processes for a large banking client, using SQL, Pandas, PySpark, and cloud tools to ingest, transform, and deliver high-quality data.
Analyzes sales data, builds dashboards in Qlikview/Metabase/Streamlit, and delivers insights to guide sales and principal partnerships using SQL and BI tools.
Lead the design of secure data architectures for Army intelligence systems, integrating pipelines, optimizing SQL/ETL workflows, and enforcing governance in AWS environments.
Designs and optimizes scalable database architectures (PostgreSQL, NoSQL, graph/time-series) to support data science and ML workflows, ensuring high performance, security, and integration with research pipelines.
Lead the design and build of a cloud-native AWS data platform for RBC’s Anti-Money Laundering team, using S3, Snowflake, Spark, and dbt to power governed analytics and controls.
Builds and maintains Python-based financial applications for capital markets, including REST APIs, reporting tools, and CI/CD pipelines.
Leads the design, development, and operations of a self-service data pipeline platform (Airflow, Spark, Flink, Kubernetes) for U.S. Bank’s digital transformation, owning end-to-end architecture, team mentorship, and reliability engineering.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms to turn raw operational data into trusted, analytics-ready assets for faster decision-making.
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