Senior Data Engineer

Capital Technology Group provides expert consulting services in 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. Description 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. As an integral part of the program, the Data Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, leads teams to support the adoption of new technologies across the enterprise, and provides technical leadership by supervising and mentoring junior members of the team. Client Requirements Applicants must be US citizens and be able to obtain Public Trust clearance. Responsibilities Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. Evaluate and prototype new tools and technologies, assessing their risks and benefits. Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL). Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch). Implement data transformations and integrations using Python and Java. Ensure reliability, performance, and maintainability of end-to-end data systems. Implement infrastructure-as-code using Terraform for managing cloud resources. Monitor and optimize system health and performance using CloudWatch and Splunk. Mentor junior engineers and conduct 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. Requirements Bachelor's degree in Computer Science, Engineering, or a related technical field. 7+ years of professional experience in data engineering or related domains. Strong hands-on experience with: Databricks (deep expertise required) AWS native Dbt, SQL (PostgreSQL), Python, Java, Harness, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization Proven leadership experience in technical teams. 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. Nice to Have Skills 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. Salary Range We are committed to offering a competitive salary for this position, with an estimated range of $130k 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. Full Time Employee Benefits 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). 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. #J-18808-Ljbffr Capital Technology Group, Inc.