Related skills
aws snowflake postgresql sql python📋 Description
- 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.
🎯 Requirements
- 5+ years of experience in data engineering or data platform development.
- Strong SQL and experience with PostgreSQL, Oracle, SQL Server.
- 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 for building and automating pipelines.
- Experience operating in cloud environments (AWS preferred, GovCloud-style environments).
- Understanding of data lake or lakehouse architectures.
- Bachelor's Degree
🎁 Benefits
- Fully remote
- Tech & Education Stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays
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