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Databricks Engineer

Amer Technology, IncAustin, TX🇺🇸United StatesPosted 25 Jul 2026

Why This Role Stands Out

Leverage your extensive Databricks expertise to design and optimize scalable data solutions, building robust pipelines and analytical tools that drive enterprise insights, with the flexibility of a hybrid work environment. This role offers a fantastic opportunity for experienced data professionals to grow their skills and make a significant impact within a reputable technology company. Apply now to join a collaborative team and contribute to cutting-edge data initiatives!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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.
YearsRequired/PreferredExperience
8RequiredExperience in IT, supporting the design, development, deployment, or delivery of technology solutions.
8RequiredExperience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.
8RequiredExperience in data warehousing and dimensional data modeling (star/snowflake schemas).
8RequiredProficiency in SQL and Python (or Scala) for large-scale data processing.
8RequiredExperience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).
8RequiredExperience implementing data governance, data quality, and data security practices.
8RequiredExperience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.
8RequiredExperience 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).
8RequiredExcellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.
1PreferredExperience working in public sector or state government environments.
1PreferredDatabricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
1PreferredExperience with CI/CD practices for data pipelines (DevOps, Git-based workflows).

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