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Builds data pipelines, dashboards, and metrics to guide product and AI model decisions in an EdTech platform.
Backend Developer for a Media Data Platform, developing APIs, data pipelines, and content management systems using technologies like Python/Java/PHP, RDBMS, AWS, and AI coding tools. Works on Media Content Hub and Data Hub development for streaming platforms.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures to support analytics and business transformation, using SQL, cloud platforms, and distributed processing tools like Spark.
Build data pipelines and connectors for regulatory compliance and reporting at a global payments firm. Uses SQL, Python, cloud data warehouses, and APIs to support risk teams.
Designs and governs enterprise data architecture on cloud platforms, building scalable data warehouses, lakes, and pipelines to support analytics and reporting.
Data Security Solutions Architect at a cybersecurity VAD, engaging clients with presentations/demos, designing data security solutions, and supporting pre/post-sales. Core tech includes HSM, DLP, Imperva, PKI, data masking, and enterprise data architecture.
Build and maintain scalable data pipelines and ETL workflows using Python, SQL, and cloud platforms to move and transform large datasets for analytics and reporting.
Overview Database Engineer Warrenton/Tysons, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable…
About Tripoint Solutions We are technology innovators, partnered with state-of-the-art providers, such as AWS, ServiceNow, and UiPath, to drive digital transformation in the federal space. TPS teams are bringing…
Builds and maintains scalable data pipelines and ETL/ELT processes to integrate financial data sources and enable analytics for product and business teams.
Build and optimize data pipelines for government analytics using SQL, Python/Scala, and cloud tools like Snowflake and Databricks.
Leads design and implementation of a scalable data quality framework using Great Expectations, ensuring enterprise-wide data reliability. Focuses on validation, observability, and integration with CI/CD pipelines for critical datasets and workflows.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines in Python, using AWS and DBT to process JSON/CSV/XML data for analytics and ML in a hybrid SaaS/on-premise environment.
Build and own a modern data-quality framework using Great Expectations and Redshift, implementing automated validation, observability, and CI/CD integration to prevent enterprise-scale data issues.
Leads AWS Redshift migration of business analytics platform from PostgreSQL, optimizing SQL queries, CDC pipelines, and data quality for reporting and business intelligence.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Build and own Broccoli’s unified data layer: model raw contractor and customer data into clean, documented tables and source-of-truth views that power dashboards, benchmarks, and AI-ready analytics.
Build and maintain data pipelines and platforms to organize disparate data for mission-driven projects like fraud detection and healthcare research using Python, SQL, and Databricks.
Build and maintain AWS’s core database services like Aurora and DynamoDB, solving large-scale distributed systems problems in Linux and cloud environments.
Lead data architect designing AWS-based data architectures and pipelines for Army intelligence sources, using SQL, Python, ETL/ELT, and data warehousing to manage and organize data assets.
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