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Databricks Engineer

Hybrid in Austin, TX, US • Posted 21 hours ago • Updated 21 hours ago

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Databricks
Apache Spark
SQL
Python
Databricks SQL dashboards
Databricks Apps
Delta Lake
medallion architecture (bronze/silver/gold layers)
Extract, Transform, Load
ELT
ETL

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.

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: atitx
Position Id: 9036403
Posted 21 hours ago

Contact the job poster

Kamalpreet Singh

Business Development Manager @ Amer Technology, Inc

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