3w
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Senior Data Engineer
Washington, District of Columbia, United States
OnsiteFull Time
8+ YOE8+ years data engineering experience, 3+ years supporting CMS/federal healthcare, Databricks and cloud (AWS/Azure) expertise, strong Spark/PySpark/Python/SQL, DataOps and CI/CD experience, healthcare compliance knowledge.
Databricks Lakehouse Platform, Databricks, Apache Spark, PySpark, SQL, Python, AWS, Azure, Git, Delta Lake, Unity Catalog, Collibra, Informatica
1w
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IT Specialist (Data Engineer)
Birmingham or Little Rock or Mesa or Covina or Oakland or Roseville or Denver or Washington or Jacksonville or Tampa or Atlanta or Des Moines or Chicago or Decatur or Joliet or Indianapolis or Wichita or Louisville or New Orleans or Boston or Baltimore or Detroit or Duluth or Saint Paul or Kansas City or Saint Louis or Billings or Charlotte or Fargo or Omaha or Newark or Albuquerque or Albany or Buffalo or Central Islip or New York or Cincinnati or Cleveland or Portland or Altoona or Harrisburg or Philadelphia or Pittsburgh or Scranton or Nashville or Fort Worth or Houston or Salt Lake City or Richmond or Roanoke or Seattle or Spokane or Milwaukee or Huntington
$91k-$118k/yr OnsiteFull Time
1+ YOEDesign and optimize data pipelines and large-scale data systems; manage on-premises and cloud (AWS, Azure) data infrastructure; DataOps practices; must meet GS-13 specialized experience.
Amazon Web Services (AWS), Azure
2w
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Technical Lead, GenAI & Automation Engineering (Risk Engineering)
McLean, Virginia, United States
$146k-$218k/yr OnsiteFull Time
8+ YOE8+ years software engineering experience with 5+ years in AI/GenAI; strong Python, GenAI, RAG, vector DB, APIs, microservices, cloud (AWS preferred); experience embedding controls and governance into AI systems.
Python, LangChain, LLMs, RAG, vector databases, MLOps, DataOps, AWS Bedrock, Azure OpenAI, GitHub Copilot
2mo
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Data Architect – Washington, DC
Falls Church, Virginia, United States
OnsiteFull Time
7+ YOEBachelor's in computer science or related field; 7+ years data architecture/engineering; strong SQL, Python/R; ETL/ELT, data pipelines; databases, Linux, Git; large-scale data systems; cloud; good communication.
SQL, PostgreSQL, Microsoft SQL Server, MySQL, Python, R, Linux, GitLab, GitHub, Apache Airflow, Prefect, Dagster, AWS, Azure, Snowflake, CDC, DataOps, CI/CD, Java, Scala, JavaScript, Perl