Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.
Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.
Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking an individual to help support high-impact, civic tech within the federal government.
We’re looking for a Data Engineer who loves building scalable, high-impact data systems that power analytics, AI, and business decisions. You’ll design and maintain robust pipelines on Databricks, orchestrate transformations using dbt, and help shape a modern data lakehouse architecture that’s clean, reliable, and fast. If you enjoy working at the intersection of engineering and analytics — where clean SQL meets distributed data systems — you’ll fit right in.
Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance
Responsibilities- Design, build, and maintain ETL/ELT pipelines on Databricks (Spark, Delta Lake, SQL Warehouse)
- Develop and manage dbt models for data transformation, testing, and documentation
- Collaborate with data analysts, scientists, and business partners to translate raw data into actionable insights
- Optimize data workflows for performance, cost, and scalability
- Implement data quality, lineage, and CI/CD best practices using Git and modern orchestration tools (e.g., Airflow, Dagster, Prefect)
- Help evolve our lakehouse and semantic modeling layer to support analytics and AI use cases
- Mentor junior engineers and code reviews
- Clearly communicate technical topics to both technical and non-technical audiences
- Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 3+ years of experience in data engineering or analytics engineering
- Strong SQL and Python skills
- Hands-on experience with Databricks (PySpark, Delta Lake, or Databricks SQL)
- Proficiency in dbt (core or Cloud), including model development, tests, and deployment
- Familiarity with data warehouse or lakehouse architectures (e.g., Snowflake, BigQuery, Redshift, or similar)
- Comfort working in version-controlled, collaborative environments (Git/GitHub)
- Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences
Nice to Have Skills
- Exposure to CI/CD, Terraform, Airflow, or data observability tools
Salary Range
We are committed to offering a competitive salary for this position, with an estimated range of $110k to $165k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.
- Remote Work (Hybrid roles will be specified in the job post)
- Competitive Compensation Package
- Medical, Dental, and Vision
- Life Insurance, Short/Long Term Disability
- Employee Assistance Program
- 401(k) with 4% matching
- Liberal PTO vacation policy
- Generous Annual Continuing Education
- Annual Wellness Budget
- Bonus Incentive Programs (Employee referrals and performance-based rewards)
Thanks for your interest in Capital Technology Group!
Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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