Data Engineer

Pay Rate: $45.00 to $55.00/hr on W2 Location: Burbank, CA - Hybrid Job Responsibilities / Typical Day in the Role Build & Maintain Pipelines • Develop ETL/ELT jobs and streaming pipelines using AWS services (Glue, Lambda, Kinesis, Step Functions). • Write efficient SQL and Python scripts for ingestion, transformation, and enrichment. • Monitor pipeline health, troubleshoot issues, and ensure SLAs for data freshness. Support Data Architecture & Models • Implement data models defined by architects into physical schemas. • Contribute to pipeline designs that align with canonical and semantic standards. • Collaborate with application pods to deliver pipelines tailored to product features. Ensure Data Quality & Governance • Apply validation rules and monitoring to detect and surface data quality issues. • Tag, document, and register new datasets in the enterprise data catalog. • Follow platform security and compliance practices (e.g., Lake Formation, IAM). Collaborate in Agile Pods • Actively participate in sprint ceremonies and backlog refinement. • Work closely with application developers, analysts, and data scientists to clarify requirements and unblock dependencies. • Promote reuse of pipelines and shared services across pods. Must Have Skills / Requirements Data Engineer experience or in a related role. 3–5 years of experience Hands-on experience with SQL, Python, AWS data services (Glue, Lambda, Kinesis, S3). 3–5 years of experience Familiarity with orchestration tools (Airflow, Step Functions) and CI/CD workflows. 3–5 years of experience Technology requirements: • Hands-on experience with SQL, Python, AWS data services (Glue, Lambda, Kinesis, S3). • Familiarity with orchestration tools (Airflow, Step Functions) and CI/CD workflows. • Exposure to modern data platforms such as Snowflake, Databricks, Redshift, or Informatica. • Strong problem-solving and debugging skills for pipeline operations.