
Data Engineer
Oddball
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
- Model, store, and transform data to support analytics, reporting, and downstream applications.
- Build API-based and file-based integrations across enterprise platforms.
- Ensure compliance with federal security and data governance frameworks (HIPAA, NIST, RMF, CMMC).
- Implement monitoring, logging, and data quality checks for reliable, scalable pipelines.
- Partner with analysts and data science teams to deliver trusted, AI-ready datasets.
- Support data migration and integration initiatives across enterprise systems.
- Maintain schema management, data lineage, and documentation to support audit and traceability.
- Troubleshoot ingestion, pipeline, and data quality issues.
Requirements
- 5+ years of experience in data engineering or data platform development.
- Strong SQL and experience with relational databases (PostgreSQL, Oracle, SQL Server, etc.).
- Hands-on with ETL/ELT tools (Talend preferred; Apache Spark, Apache Airflow, dbt, or Informatica).
- Experience with modern data platforms (Snowflake, Redshift, BigQuery, or equivalent).
- Proficiency in Python or similar for building and automating pipelines.
- Experience operating in cloud environments (AWS preferred, including GovCloud-style environments).
- Understanding of data lake or lakehouse architectures.
- Familiarity with security and compliance in federal or healthcare environments (HIPAA, NIST, RMF).
- Strong problem-solving skills working with large, complex datasets.
- Performs other related duties as assigned.
Benefits
- Fully remote
- Tech & Education Stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTSQLPythondata modelingdata transformationdata migrationdata quality checksschema managementdata lineage
Soft Skills
problem-solvingcollaboration