aKube Inc
Senior Databricks Data Engineer - 1659
Senior data engineer who designs and builds scalable batch and real-time data pipelines, ingestion/analytical workflows, and intelligent APIs using Databricks, Spark, Python, SQL, and Azure, with DevOps/CI-CD practices; hybrid onsite roles in Draper UT, Calabasas CA, or Las Vegas NV at $130k-$150k depending on location.
- Compensation
- $130K–$150K / yr
- Location
- Draper, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Databricks
- AI
- Python
- Azure API development
- ETL pipelines
- DevOps and CI/CD
- Bachelor's degree in a related technical field
- 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
- Work authorization: GC, USC only
Full description
City: Draper, UT 84020/ Dallas, TX 75063/ Atlanta, GA 30076
Onsite/ Hybrid/ Remote: 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.