Databricks Data Engineer

CCS Global Tech
Takoma Park, US
Hybrid

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • optimized data pipelines
  • scalable data processing solutions
Typical background
data engineeringcloud platforms

Transferable backgrounds

  • Coming from data engineering
  • Coming from cloud platforms

Skills & requirements

Required

DatabricksPythonPysparkSQLETL PipelinesMedallion Architecture

Preferred

Delta LakeData GovernanceData Quality Frameworks

Stack & domain

DatabricksPythonPysparkSQLEtl PipelinesLarge-scale DatasetsCloud PlatformsAWSAzureMedallion ArchitectureBronzeSilverGold LayersDelta LakeData GovernanceData Quality FrameworksFederal EnvironmentsOwnershipAccountabilityDelivery-first MindsetProactive Problem-solvingIndependent WorkFast-paced EnvironmentsDeadline-driven WorkData EngineeringData Analytics

About the role

Original posting from CCS Global Tech

Role - Databricks Data Engineer

Location - Silver Spring, MD

Clearance - Public Trust clearance

Salary - $130,000 - $140,000

Description

We are seeking a Databricks Data Engineer with strong hands-on experience in Python and PySpark to support a fast-paced, high-impact delivery environment. This role requires someone who can quickly step in, take ownership, and deliver scalable data solutions with minimal ramp-up.

Key Responsibilities

  • Design, develop, and optimize data pipelines and ETL workflows using Databricks
  • Build scalable data processing solutions leveraging PySpark and Python
  • Work with large-scale datasets across cloud platforms (AWS and/or Azure)
  • Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers)
  • Ensure data quality, performance optimization, and reliability of data pipelines
  • Collaborate with cross-functional teams to support data-driven initiatives

Required Qualifications

  • 3 to 5 years of experience in Databricks is required.
  • Strong hands-on experience with Databricks, Python, PySpark, and SQL
  • Proven experience building and optimizing ETL pipelines
  • Experience working with large-scale data environments
  • Solid understanding of cloud platforms (AWS and/or Azure)
  • Familiarity with Medallion architecture (Delta Lake)
  • Ability to work independently in fast-paced, deadline-driven environments

What We're Looking For

  • Someone who can hit the ground running with minimal onboarding
  • Strong sense of ownership and accountability
  • Ability to deliver under tight timelines without compromising quality
  • Proactive problem-solver with a delivery-first mindset Nice to Have
  • Experience with Delta Lake
  • Exposure to data governance and data quality frameworks
  • Prior experience in federal or regulated environments

Preferred Additional Qualifications:

  • Experience with Delta Lake
  • Exposure to data governance and data quality frameworks
  • Prior experience in federal or regulated environments

Requirements

Required Qualifications: :

Education:

Bachelor's degree in information systems, computer science, or other related field. Will accept a suitable combination of education, training, or experience

Clearance:

Clearance: Federal Health Agency within the U.S. Department of Health and Human Services Public Trust clearance

Onsite Requirement:

Location: Hybrid - locals to DMV area

Professional Experience

3 to 5 years of experience in Databricks is required.

Strong hands-on experience with Databricks, Python, PySpark, and SQL

Proven experience building and optimizing ETL pipelines

Experience working with large-scale data environments

Solid understanding of cloud platforms (AWS and/or Azure)

Familiarity with Medallion architecture (Delta Lake)

Ability to work independently in fast-paced, deadline-driven environments

Source: CCS Global Tech careers

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