Junior Data Engineer

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.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

At Capital Technology Group (CTG), our teams are passionate about modernizing how the federal government delivers software. We partner with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people.
Recognized by The Washington Post as a Top Workplace in 2025 and 2026. CTG fosters a culture rooted in our core values. Our values guide how we work together and support one another, creating an environment where employees feel trusted, empowered, and encouraged to grow both personally and professionally.

CTG is seeking a Junior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Junior Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Databricks, dbt, Apache Spark (PySpark), SQL (PostgreSQL), and Python
  .
• Develop and optimize AWS-native data solutions leveraging services including AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and Cloud Watch
  .
• Build high-performance data ingestion, transformation, and orchestration workflows across structured and semi-structured data using Parquet, ORC, Avro, and Apache Iceberg
  .
• Integrate data from enterprise and external sources, including relational and No
  
  SQL databases such as PostgreSQL, Oracle, Redshift, GraphDB, and other No
  
  SQL platforms
  .
• Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, and continuous optimization.
• Develop and maintain automated deployment pipelines using Harness and collaborate on cloud infrastructure and platform improvements.
• Support data engineering efforts powering mission-critical analytics, reporting, and decision-making across large-scale federal data environments.
• Collaborate with cross-functional teams in an
  Agile environment to define requirements, deliver high-quality data solutions, and continuously improve engineering processes.

• A strategic data engineer who enjoys designing complex systems and solving complex challenges
• Strong in modern cloud-based solution design
• Comfortable balancing business needs with technical constraints and long-term strategy
• Collaborative, proactive, and comfortable navigating ambiguity

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 5 years of professional experience in data engineering or related domains
• Strong hands‑on experience with:
  • Deep hands‑on experience with Databricks for large-scale data engineering, ETL/ELT development, and data transformation.
  • Strong proficiency with
    Dbt, SQL (PostgreSQL), Python, Java, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, Cloud Watch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization.
  • AWS native.
• Strong analytical and problem-solving skills
• Experience working in agile, iterative software development environments
• Ability to quickly learn and apply new technologies and domain knowledge
  
  Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences

• Experience with
  Kafka (streaming/data pipelines)
• Experience with Docker and Kubernetes for containerization and orchestration
• Proficiency with Splunk for log aggregation and system monitoring
• Experience using Terraform for infrastructure automation and management
• Strong SQL skills, including performance tuning and complex query design

We are committed to offering a competitive salary for this position, with an estimated range of $75k to $115k 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…