Senior Data Engineer

6 days ago

Glendale, CA, United States aKube, Inc. Full time
Job Description
City: Glendale, CAOnsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote)

Duration: 12 months

Rate Range: Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:
• 5+ years Data Engineering
• Airflow
• Spark DataFrame API
• Databricks
• SQL
• API integration
• AWS
• Python or Java or Scala

Responsibilities:
• Maintain, update, and expand Core Data platform pipelines.
• Build tools for data discovery, lineage, governance, and privacy.
• Partner with engineering and cross-functional teams to deliver scalable solutions.
• Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows.
• Support platform standards, best practices, and documentation.
• Ensure data quality, reliability, and SLA adherence across datasets.
• Participate in Agile ceremonies and continuous process improvement.
• Work with internal customers to understand needs and prioritize enhancements.
• Maintain detailed documentation that supports governance and quality.

Qualifications:
• 5+ years in data engineering with large-scale pipelines.
• Strong SQL and one major programming language (Python, Java, or Scala).
• Production experience with Spark and Databricks.
• Experience ingesting and interacting with API data sources.
• Hands-on Airflow orchestration experience.
• Experience developing APIs with GraphQL.
• Strong AWS knowledge and infrastructure-as-code familiarity.
• Understanding of OLTP vs OLAP, data modeling, and data warehousing.
• Strong problem-solving and algorithmic skills.
• Clear written and verbal communication.
• Agile/Scrum experience.
• Bachelor's degree in a STEM field or equivalent industry experience.

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