Databricks Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$86,800–$198,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k
This role $142k
$73k $217k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $128,005–$202,800 — the blue band above. At the midpoint, this role pays about $142k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1688 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Databricks Engineer

As a Databricks Engineer, you will join the team to design, build, and operate Databricks Lakehouse solutions within the Azure ecosystem. You will develop and support Azure Data Factory pipelines to promote datasets from enterprise applications into bronze, silver, and gold medallion architectures. Your daily responsibilities include resolving data platform issues, recommending Lakehouse patterns, and designing data models to deliver analytics-ready datasets. You will utilize technologies including Apache Spark, PySpark, SQL, Delta Lake, Unity Catalog, and Azure storage and identity services. The role involves building reliable ETL/ELT pipelines and developing analytics products such as dashboards and Genie agents. You will collaborate with architects and developers to translate requirements into working cloud data components that solve complex data management and organization problems.

What you'll do

  • Design, build, and operate Databricks Lakehouse solutions within the Azure ecosystem.
  • Develop Azure Data Factory pipelines to promote datasets into bronze, silver, and gold medallion architectures.
  • Build and optimize reliable batch and incremental ETL/ELT pipelines using Apache Spark, PySpark, and SQL.
  • Design data models and deliver analytics-ready datasets using Delta Lake and Unity Catalog.
  • Develop and support Databricks analytics, including dashboards, Genie agents, and data products.
  • Troubleshoot data platform issues by analyzing pipeline performance and data-quality problems.
  • Translate client requirements into working cloud data components and technical solutions.

What we're looking for

  • 5+ years of experience building and operating production data platforms on Databricks.
  • Experience designing Lakehouse architectures using Delta Lake, Apache Spark (PySpark/Spark SQL), and medallion patterns.
  • Experience developing and supporting Azure Data Factory pipelines for enterprise data ingestion.
  • Knowledge of the Azure data ecosystem, including storage, identity, and access services.
  • Knowledge of Unity Catalog, data governance, and access control on Databricks.
  • Ability to design, troubleshoot, and optimize batch and incremental ETL/ELT pipelines.
  • Ability to develop Databricks analytics including SQL/Spark datasets, dashboards, and Genie agents.
  • Bachelor’s degree in Computer Science, Information Systems, or Engineering.
  • Public Trust clearance is required.
  • Experience with Databricks Asset Bundles, CI/CD, and Git-based promotion (preferred).
  • Experience integrating Databricks with Azure SQL or SQL Server (preferred).
  • Knowledge of schema evolution, MERGE-based loads, liquid clustering, and performance tuning (preferred).
  • Databricks Certified Data Engineer Associate, Professional, or Platform Administrator Certification (preferred).

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