Data Engineer
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Job Description
Data Engineer building and maintaining scalable data pipelines and warehouse models for analytics. Collaborating with engineering and analytics teams within the United States.
Responsibilities:
- Design, build, and operate ETL/ELT pipelines from operational and SaaS sources
- Develop batch and streaming workflows using Python, SQL, and cloud data services
- Model data in a warehouse/lakehouse (e.g. Snowflake, Databricks, or BigQuery)
- Implement data quality checks, monitoring, and incident response for pipelines
- Collaborate with analysts and data scientists on curated marts and metrics
- Document pipelines, schemas, and SLAs; support CI/CD for data code
- Optimize performance, cost, and security (IAM, encryption, PII handling)
Requirements:
- 4+ years in data engineering or similar analytics engineering roles
- Strong SQL and Python for data processing
- Hands-on experience with a modern cloud data platform (Snowflake, Databricks, Redshift, or BigQuery)
- Experience with orchestration (Airflow, Dagster, Prefect, or cloud-native schedulers)
- Understanding of dimensional modeling and incremental loads
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