Senior Databricks Migration Engineer

RadNet, Inc.

Arlington (VA)

On-site

USD 130,000 - 158,000

Full time

14 days+

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Job summary

ECS Federal LLC seeks a Senior Databricks Migration Engineer to drive the migration of legacy data pipelines to Databricks Lakehouse at the USPS OIG site in Arlington, VA. You will lead cross-functional efforts, design robust ETL/ELT pipelines, and optimize for Power BI performance in a secure Azure environment.

The role requires 5+ years in data engineering, cloud experience, and strong leadership. Onsite four days a week at the USPS customer site will apply.

Qualifications

  • Bachelor's degree or higher in Computer Science, Engineering, or related field.
  • 5+ years’ experience in data engineering, data systems development or related roles.
  • 5+ years’ experience with cloud platforms (Azure, AWS, GCP).
  • 1+ year leading complex, cross-functional data projects and technical teams.
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake, and distributed compute platforms.

Responsibilities

  • Lead migration from legacy SQL Server procedures and ADF pipelines to Databricks Lakehouse (Delta Lake).
  • Translate relational warehousing paradigms into scalable Lakehouse frameworks (Bronze/Silver/Gold).
  • Design ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows.
  • Architect Gold Layer models (star schemas) to maximize Power BI performance.
  • Optimize Databricks SQL Warehouses for high-concurrency Power BI queries.
  • Implement optimization techniques like Z-Ordering and data skipping.
  • Define governance for cluster sizing, auto-scaling, and serverless SQL compute.
  • Create monitoring dashboards to track DBU consumption and cost savings.
  • Establish partition strategies and file size management within Delta Lake.

Skills

Databricks Lakehouse
Apache Spark
Delta Lake
Python / PySpark
Cloud platforms (Azure/AWS/GCP)
SQL

Education

Bachelor's degree in Computer Science or related field
Master's degree in a technical field (preferred)

Tools

Databricks
Power BI
Delta Live Tables (DLT)
Unity Catalog

Job description

Senior Databricks Migration Engineer

ECS is seeking a Senior Databricks Migration Engineer to work onsite for the US Postal Services' Inspector General's Office (OIG) at our Arlington, VA office.

Responsibilities
  • Lead the technical migration from legacy SQL Server stored procedures and ADF pipelines to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design.
  • Translate traditional relational data warehousing paradigms into scalable, distributed Lakehouse frameworks (Bronze, Silver, Gold).
  • Design robust, reusable ETL/ELT frameworks using PySpark, Delta Live Tables (DLT), and Databricks Workflows.
  • Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize Power BI performance.
  • Optimize Databricks SQL Warehouses to support high-concurrency, low-latency Power BI queries (DirectQuery and Import modes).
  • Implement advanced optimization techniques, including Z-Ordering, data skipping, liquid clustering, and materialized views.
  • Define and enforce governance standards for cluster sizing, auto-scaling policies, and serverless SQL compute to balance performance with cost.
  • Implement proactive monitoring dashboards to track Databricks Unit (DBU) consumption and identify cost-saving opportunities.
  • Establish best practices for partition strategies and file size management within Delta Lake.
  • Design and implement a robust data security model using Unity Catalog for centralized governance.
  • Enforce row-level and column-level security policies to ensure compliant data access for Power BI consumers and internal analysts.
  • Align the Lakehouse security architecture with existing enterprise Azure Active Directory (Microsoft Entra ID) and RBAC standards.
  • Act as the primary technical lead, conducting dedicated pair-programming sessions, workshops, and code reviews to transition the team from SQL-centric to Spark-centric thinking.
  • Create comprehensive technical documentation, including architecture diagrams, design patterns, and optimization playbooks.
  • Build a foundational knowledge transfer framework to ensure the internal team is fully self-sufficient post-migration.
  • Communicate effectively verbally and in written form to both technical and non-technical audience.
  • Work in an organized fashion, completing tasks timely while paying close attention to details.

Note: This position is contingent upon additional funding and requires a Public Trust background investigation. This entails an in‑depth background check & either US Citizenship or Permanent Resident (Green Card) status.

Required Skills
  • Bachelor's degree or higher from an accredited college or university in Computer Science, Engineering, or a related technical field
  • 5+ years’ experience in data engineering, data system development or related roles
  • 5+ years’ experience with cloud platforms (e.g. Azure, AWS, GCP)
  • 1+ year leading complex, cross‑functional data projects and technical teams
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
  • Experience with data warehousing, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
Qualifications
  • Mastery of data engineering principles, including data modeling, ETL (Extract, Transform, Load) processes, and data pipelines
  • Proficiency with Azure Data Lake data storage and processing services
  • Skilled at designing, building, and optimizing data pipelines for ingesting, transforming, and loading data
  • Proficiency in languages such as SQL and Python/PySpark for data manipulation and pipeline development
  • Skilled at identifying and resolving data‑related challenges
  • Skilled at creating efficient data models that meet business requirements
  • Skilled at optimizing query performance and system scalability

Note: This position requires working onsite 4 days a week at our USPS customer site in Arlington, VA.

Salary Range: $130,000 - $158,000 annually.

ECS Federal LLC is an equal‑opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, or local jurisdiction law.

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