Senior Databricks Data Engineer - 1659
aKube Inc Draper, Utah, United States · $130K–$150K/yr
Information Technology & Services · 51-200 employees
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About the role
Design and build scalable batch and real-time data pipelines while developing data ingestion and analytical workflows. Collaborate with cross-functional teams to build intelligent data products and support cloud-based data architecture for BI and AI/ML use cases.
What they look for
Requirements
Requires a bachelor's degree in a technical field and 10+ years of data engineering experience. Must have strong proficiency in Databricks, Spark, Python, SQL, and Azure data services.
Full description
City: Calabasas, CA / Draper, UT Onsite/ Hybrid/ Remote:
- 1 day a week on site in LA
- Draper, UT - 3 days a week onsite.
Duration: Fulltime Rate Range: Up to $130k to $140k PA -Las Vegas, NV and Up to $130k to $150k PA - Calabasas, CA depending on experience. Work Authorization: GC, USC Only
Must Have
- Databricks
- AI
- Python
- Azure API development
- ETL pipelines
- DevOps and CI/CD
Responsibilities:
- Design and build scalable batch and real-time data pipelines.
- Develop data ingestion, processing, and analytical workflows.
- Build data products and intelligent APIs.
- Ensure data quality, reliability, and performance.
- Collaborate with cross-functional teams to translate business needs into data solutions.
- Support cloud-based data architecture for BI and AI/ML use cases.
- Participate in code reviews and CI/CD practices.
Qualifications:
- Bachelor’s degree in a related technical field required.
- 10+ years of data engineering experience.
- Strong experience with Databricks, Spark, and cloud platforms.
- Proficiency in Python and SQL.
- Hands-on experience with Azure data services.
- Experience with REST APIs and DevOps practices.
- Agile development experience.
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