Databricks Engineer /Systems Analyst 3

Hybrid in Austin, TX, US • Posted 7 hours ago • Updated 7 hours ago
Contract Independent
Contract W2
12 Months
50% Travel Required
Hybrid
$70 - $75/hr
Fitment

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Job Details

Skills

  • Apache Spark
  • Continuous Delivery
  • Data Governance
  • Data Warehouse
  • Databricks
  • DevOps
  • ELT
  • SQL
  • PySpark
  • Snow Flake Schema
  • Extract
  • Transform
  • Load
  • Data Quality

Summary

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

II. CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

8

Required

Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

8

Required

Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

8

Required

Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

8

Required

Proficiency in SQL and Python (or Scala) for large-scale data processing.

8

Required

Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

8

Required

Experience implementing data governance, data quality, and data security practices.

8

Required

Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

8

Required

Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

8

Required

Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

1

Preferred

Experience working in public sector or state government environments.

1

Preferred

Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

1

Preferred

Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10530359
  • Position Id: 529701754
  • Posted 7 hours ago
Contact the job poster
VK

Vinay Kumar

Recruiter @ Care IT Services Inc
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