Data Engineer

Senior Data Engineer With Databricks

Remote, Anywhere in the Continental US

Due to the nature of the role, this position requires U.S. Citizenship.

Data Surge is disrupting the services industry with cutting-edge technology that brings together the very best consultants from the big data, machine learning, and software modernization space.

At Data Surge, we value collaboration , curiosity , and being customer

centric . Our team thrives on collective efforts, innovation, and a commitment to wellness , ensuring employees are empowered to thrive professionally and personally.

About the Role

We are seeking a skilled and motivated Data Engineer with deep Databricks and cloud experience to support our Federal Services team. In this role, you will help design and implement scalable data solutions, build and optimize pipelines, and automate infrastructure within secure cloud environments.

This role is ideal for experienced developers who enjoy tackling complex data engineering challenges, optimizing performance, and contributing to impactful government programs. You'll help shape robust, secure, and efficient pipelines that serve critical public-sector missions.

Day-to-Day Impact

Design, develop, and optimize robust data pipelines in Databricks to process and transform large-scale data sets

Collaborate with data scientists, engineers, and cloud architects to build reliable, secure data systems

Automate infrastructure provisioning using Terraform and manage resources on Azure (or AWS/GCP)

Monitor, troubleshoot, and support production-grade data pipelines and jobs

Develop CI/CD workflows to streamline deployment and version control of data processing code

Ensure security, performance, and reliability across all stages of data workflow

Utilize and manage Docker containers where needed to deploy data services

Participate in Agile team ceremonies and help shape iterative data delivery plans

Support continuous improvement in data architecture, automation, and governance practices

Other duties as reasonably required

Essential Experience

5+ years of experience in data engineering or backend data infrastructure roles

2+ years of hands-on experience with Databricks, Spark, or distributed data processing systems in a production environment

Deep proficiency with PySpark and Python for data engineering tasks

Experience with data modeling

Solid experience with Airflow, dbt, or other orchestration and transformation tools

Proven skills in data governance, lineage, or security best practices

Experience working with Azure (preferred), AWS, or Google Cloud

Strong working knowledge of CI/CD tools and version control workflows

Comfortable working with relational (e.g., PostgreSQL, MySQL) and NoSQL databases

Proven experience in monitoring, debugging, and scaling cloud-based data systems

Strong communication skills and ability to work independently in a remote team environment

Kudos If You Have:

Experience with Kubernetes and Helm for deploying data workloads (not required)

Solid experience with Terraform or other Infrastructure as Code tools

Familiarity with containerization using Docker

Knowledge of data lakehouse architectures and Delta Lake

Experience working on Federal or government projects

Existing security clearance (preferred but not required)

Databricks Certification

Learn More

Data Surge offers a competitive compensation and total rewards package.

Comprehensive Benefits

Remote-first work environment

PTO – Including holidays + your birthday

401(k) with 4% Match, immediately vested

Growth and development opportunities

Bonuses + more

Find out more about our story at .

Visit our Careers page to explore our openings at

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As a participator in E-Verify, Data Surge electronically confirms employment eligibility of employees to work in the United States.

Job Type: Full-time

Benefits:

401(k)

401(k) matching

Dental insurance

Health insurance

Paid time off

Retirement plan

Vision insurance

Education:

Bachelor's (Preferred)

Experience:

Data Engineering: 7 years (Preferred)

Databricks: 3 years (Preferred)

Work Location: Remote