Job Opportunities API

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 The CTG Experience 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. About the Role 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.  You Will Get To 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 CloudWatch . 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 NoSQL databases such as PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL 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.  Who You Are 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 A strong communicator  Collaborative, proactive, and comfortable navigating ambiguity Qualifications 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, CloudWatch), Data Pipelin