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4 dataops engineer jobs at 4 companies in Arnold, MD

4w
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Senior Data Engineer
Washington, District of Columbia, United States
OnsiteFull Time
Analytica
Analytica: Provides data analytics and IT solutions for federal government agencies.
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
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1d
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Principal Data Architect/Engineer - R&S
Washington, District of Columbia, United States
OnsiteFull Time
Federal Reserve Board of Governors
Federal Reserve Board of Governors: The central bank of the United States.
8+ YOEBachelor's degree and 8+ years of data engineering or architecture experience. Requires advanced SQL, Python, R, relational databases, ETL/ELT, scalable data systems, cloud migration, CI/CD, and data governance expertise.
SQL, PostgreSQL, Microsoft SQL Server, MySQL, Python, R, Apache Airflow, Prefect, Dagster, AWS Step Functions, GitLab, GitHub, Linux, AWS, Java, Scala, JavaScript, Perl, JSON, XML, CI/CD, DataOps, NoSQL, Change Data Capture (CDC)
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3w
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Technical Lead, GenAI & Automation Engineering (Risk Engineering)
McLean, Virginia, United States
$146k-$218k/yr OnsiteFull Time
Freddie Mac
Freddie MacOTCQB: FMCC: Purchases and securitizes home mortgages for the secondary market.
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
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2mo
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Data Architect – Washington, DC
Falls Church, Virginia, United States
OnsiteFull Time
Creative Information Technology
Creative Information Technology: Provides IT solutions and software for government and healthcare sectors.
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
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