Senior Data Engineer

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.

• 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
• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 9+ years of professional experience in data engineering or related domains
• Strong hands-on experience with:
• Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.
• Designing, building, and maintaining AWS-native data platforms using AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch.
• Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.
• Working with modern data lake technologies including Apache Iceberg and data formats such as Parquet, ORC, and Avro.
• Designing and optimizing solutions using relational and NoSQL databases including PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL platforms.
• Building reliable, high-performance data platforms through performance tuning, system optimization, and enterprise-scale ETL/ELT architectures.
• Java development and modern CI/CD practices using Harness.
• 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 supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus.
• 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