Amazon Web Services (AWS), Apache Kafka, Apache Spark, Business Intelligence, Cataloguing, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Processing, Data Warehousing, Database Extract Transform and Load (ETL), Docker, Functional Analysis, GCP (Good Clinical Practices), HIPAA (Health Insurance Portability and Accountability Act), Leadership, Mentoring, Microsoft Windows Azure, Python Programming/Scripting Language, SQL (Structured Query Language), Scala Programming Language, Snowflake Schema
This is a remote position.
Job Title: Data Analyst
Location: Remote
Duration: Full-Time
NEED IRS MBI Clearance.
• Experience & Leadership: 3–5+ years in data engineering or backend data systems, with experience leading data pipeline projects and mentoring junior engineers.
• Data Pipeline Expertise: Proficient in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink.
• Tech Stack & Tools: Strong skills in SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture).
• Infrastructure & Ops: Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and orchestration, with experience in CI/CD and data versioning (e.g., DVC).
• Bonus/Preferred: Experience with real-time data processing, cataloging, data governance, privacy/compliance (GDPR, HIPAA), and cross-functional collaboration with analytics, ML, or BI teams.