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Databricks Delta Lake Jobs (NOW HIRING)

ADG Tech Consulting, LLC.

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Develop scalable data pipelines using Databricks (E2), Delta Lake, Spark, Scala, Python * Integrate high-volume inbound/outbound data interfaces across ODS and analytical marts * Enhance existing ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East ... Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw ...

CMT Services Inc

Databricks Engineer

Hyattsville, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East ... Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw ...

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East ... Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw ...

Sunrise Systems, Inc.

Software Engineer 3

San Diego, CA

$80 - $85/hr

Design, build, and optimize medallion architecture pipelines (Bronze Silver Gold) in Databricks using Delta Lake * Ingest and process unstructured data (PDFs, images, documents, logs) from enterprise ...

CoorsTek, Inc.

Databricks Site Reliability Engineer

Golden, CO · On-site

$58.75 - $78.25/hr

Partner with Data & Analytics on Databricks workflows, Delta Lake, Unity Catalog, data lineage, permissions, SQL warehouses, jobs, clusters, serverless capabilities, and performance tuning. * Partner ...

Freudenberg

Data Engineer

Plymouth, MI

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Key Responsibilities: • Design and implement ETL/ELT pipelines using Databricks, Delta Lake, and Apache Spark • Collaborate with data scientists, analysts, and stakeholders to deliver clean ...

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How much do databricks delta lake jobs pay per year?

As of Jun 8, 2026, the average yearly pay for databricks delta lake in the United States is $50,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Databricks Delta Lake Engineer, and why are they important?

To thrive as a Databricks Delta Lake Engineer, you need expertise in big data engineering, SQL, data modeling, and cloud computing, typically supported by a background in computer science or data engineering. Familiarity with Databricks, Apache Spark, Delta Lake, and cloud platforms like AWS or Azure, along with relevant certifications such as Databricks Certified Data Engineer, is essential. Strong problem-solving abilities, communication skills, and adaptability help you collaborate with cross-functional teams and address evolving data challenges. These competencies ensure robust, scalable, and reliable data pipelines that support critical business analytics and decision-making.

What is the difference between Databricks Delta Lake vs Data Engineer?

AspectDatabricks Delta LakeData Engineer
Primary FocusManaging and optimizing data lakes with ACID transactions and scalable storageDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data modeling, Delta Lake architectureSQL, ETL tools, programming (Python, Scala), data warehousing
Work EnvironmentCloud-based data platforms, big data environmentsData warehouses, cloud or on-premises data infrastructure

While Databricks Delta Lake focuses on managing scalable, reliable data lakes with ACID compliance, Data Engineers build and maintain the pipelines and infrastructure that enable data analysis. Both roles often collaborate but have distinct technical focuses within data management.

What is Databricks Delta Lake?

Databricks Delta Lake is an open-source storage layer that brings reliability, performance, and ACID (Atomicity, Consistency, Isolation, Durability) transactions to data lakes. It enables users to build robust and scalable data pipelines by providing features like schema enforcement, time travel, and unified batch and streaming data processing. Delta Lake helps organizations manage large volumes of data efficiently, ensuring data quality and consistency for analytics and machine learning workloads.

What are some common challenges faced by Databricks Delta Lake engineers when implementing data pipelines, and how can they be addressed?

Databricks Delta Lake engineers often encounter challenges related to data consistency, schema evolution, and handling large-scale streaming data. Ensuring ACID compliance while enabling efficient batch and streaming workloads can be complex, especially when dealing with frequent schema changes or high-volume data ingestion. To address these challenges, engineers typically use Delta Lake's built-in features such as schema enforcement, time travel, and optimized file management. Collaborating closely with data engineering and DevOps teams helps ensure robust pipeline monitoring, quick issue resolution, and continuous optimization.
Infographic showing various Databricks Delta Lake job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $50,117 per year, or $24.1 per hour.

Senior Data Engineer

ADG Tech Consulting, LLC.

Washington, DC • On-site

$120K - $163K/yr

Other

Posted 2 days ago

Job description

Senior Data Engineer

Location: on-site (DC Metro area) with occasional Remote

Clearance: Public Trust (or ability to obtain),

Type: Full-time

Overview:

Seeking a Senior Data Engineer to support an enterprise-scale data-lake modernization effort. This role will help design, develop, and sustain large analytical data platforms using Databricks, Informatica, Oracle, AWS services, and related technologies.

Responsibilities:

  • Develop scalable data pipelines using Databricks (E2), Delta Lake, Spark, Scala, Python
  • Integrate high-volume inbound/outbound data interfaces across ODS and analytical marts
  • Enhance existing data lakes, data ponds, and analytical environments
  • Implement data quality, validation, and governance frameworks using Informatica IICS
  • Support real-time and batch ETL/ELT pipelines
  • Collaborate with engineering, DevSecOps, and cloud teams
  • Tune large-scale queries in Oracle, PostgreSQL, and Redshift
  • Maintain legacy systems while modernizing the tech stack
  • Support automated deployment using Jenkins, Liquibase, GitHub
  • Produce architecture documentation, SOPs, and CONOPS

Required Skills:

  • 7+ years Data Engineering experience
  • Expertise in Databricks, Delta Lake, Spark (Scala/Python)
  • Advanced SQL/PL-SQL and performance tuning
  • AWS services: S3, Glue, Lambda, Athena, Kinesis, RDS, DMS
  • Informatica IICS / Data Quality tools
  • CI/CD (Jenkins, GitHub, Liquibase)
  • Experience with enterprise data warehousing

Preferred:

  • SAS, Tableau, Oracle Analytics Server
  • Senzing, Graph Data Services
  • Section 508 knowledge
  • Experience with federal programs

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