Lead Data Engineer

<div class="content-intro"><p><img class="image-9" style="display: block; margin-left: auto; margin-right: auto; max-width: 100%;" src="https://cdn.prod.website-files.com/674df1e2b64446144d53d899/674df20b2bc1cd3f0e0fa1a5_CTG%20Logo.svg" alt="" width="150"></p> <p style="text-align: center;"><strong>Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity. </strong></p> <p style="text-align: left;">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.</p></div><div class="styles--2BkR3" data-ui="job-description"> <p><strong>Client Requirements:</strong> applicants <strong>MUST BE</strong> US Citizens and be able to obtain Public Trust clearance</p> <h3><strong>The CTG Experience</strong></h3> <p>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. <strong>Recognized by The Washington Post as a Top Workplace in 2025 and 2026. </strong>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.</p> <h3><strong>About the Role</strong></h3> <p>CTG is seeking a <strong>Lead Data Engineer</strong> to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Lead Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assess associated risks and benefits, and deliver exceptional value to our clients.</p> <h3><strong>You Will Get To</strong></h3> </div> <div class="styles--2kg4_" data-ui="job-requirements"> <ul> <li data-section-id="2r48sa" data-start="545" data-end="729">Design, build, and maintain scalable <strong data-start="584" data-end="638">data pipelines, ETL/ELT workflows, and data models</strong> using <strong data-start="645" data-end="728">Python, Apache Spark (PySpark), SQL (PostgreSQL), and AWS Glue</strong>.</li> <li data-section-id="o8reu" data-start="730" data-end="920">Develop and optimize <strong data-start="753" data-end="767">AWS-native</strong> data platforms leveraging <strong data-start="794" data-end="919">AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Amazon S3, RDS, and CloudWatch</strong>.</li> <li data-section-id="113ytun" data-start="921" data-end="1090">Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using <strong data-start="1047" data-end="1089">Apache Iceberg and Parquet</strong>.</li> <li data-section-id="qesbpq" data-start="1091" data-end="1230">Design and optimize analytical data platforms using <strong data-start="1145" data-end="1229">Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies</strong>.</li> <li data-section-id="13bjgsj" data-start="1398" data-end="1581">Build <stron