Lead Data Engineer

Expert/Leader Leads the design, development, and maintenance of scalable AWS data platforms, pipelines, ETL/ELT workflows, data models, and orchestration systems. Uses Python, PySpark, SQL, dbt, AWS services, modern lakehouse technologies, and CI/CD practices to deliver secure federal data solutions. Responsibilities include platform modernization, performance optimization, AI-enabled data integration, compliance support, technical mentoring, architecture discussions, and cross-functional Agile collaboration. The summary above was generated by AI, CTG is seeking a Lead Data Engineer 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. You Will Get To

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), SQL (PostgreSQL), and AWS Glue.
• Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Amazon S3, RDS, and CloudWatch.
• Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg and Parquet.
• Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies.
• Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vectors and OpenSearch vector indexes.
• Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub and enterprise CI/CD pipelines.
• Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.
• Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST SP 800-53 security controls.
• Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.
• Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders., Leads end-to-end data engineering and analytics platform development, including Power BI dashboards, semantic models, cloud data pipelines, governance, quality monitoring, CI/CD, and legacy workload modernization. Partners with stakeholders to define scalable solutions, validates KPIs, troubleshoots production issues, establishes engineering standards, and mentors team members. Top Skills: Amazon AthenaAmazon S3Aws GlueAws LambdaAzure Data FactoryAzure DevopsAzure Key VaultCi/CdData Vault 2.0DatabricksDaxDbtDelta LakeDomoGitMicrosoft FabricMicrosoft PurviewPower BIPythonSnowflakeSparkSQLSsisTableau Nexcess

Lead Data Engineer

3 Days Ago Remote United States Senior level Senior level Cloud * Information Technology * Infrastructure as a Service (IaaS) Leads and develops the Data Engineering team while remaining hands-on with scalable pipelines, ETL/ELT processes, data warehouses, integrations, and infrastructure. Establishes architecture, reliability, quality, and performance standards; guides technical strategy; improves automation and monitoring; and partners with Finance and business stakeholders to translate data needs into practical solutions. Top Skills: Apache AirflowApache KafkaSparkAWSCi/CdDbtGoogle Cloud PlatformInfrastructure As CodeJavaAzurePythonScalaSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• A strategic data engineer who enjoys designing sophisticated systems and solving challenging problems
• Strong experience 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
• 15+ years of professional experience in data engineering, data architecture, or related fields
• Strong hands-on experience with:
• Apache Spark (PySpark) required, Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.
• AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, Amazon S3, Amazon RDS.
• Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.
• Working with modern data lake technologies and data formats such as Parquet and Iceberg.
• Designing and optimizing solutions using relational and NoSQL databases
• Building reliable, high-performance data platforms through performance tuning, system optimization, and enterprise-scale ETL/ELT architectures.
• 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

• Experience supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus.
• Experience with Apache Iceberg and modern data lakehouse architectures.
• Experience working with unstructured data processing, including document/text processing, embeddings, vector search, and LLM-based data solutions.
• Exposure to integrating LLMs and generative AI capabilities into enterprise data pipelines and platforms.
• Experience designing data architectures that support both structured and unstructured data at scale.

We are committed to offering a competitive salary for this position, with an estimated range of $150k to $200k 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), In-Office or Remote Nebraska, USA 110K-168K Annually Senior level 110K-168K Annually Senior level Insurance Lead the technical design and operation of consumer-facing data products on a Databricks lakehouse. Own medallion architecture, dimensional modeling, ODCS data contracts, data quality, observability, CI/CD, incident response, and production standards. Write and review Python and SQL, guide code reviews, mentor engineers, collaborate with product, platform, governance, and ML teams, and ensure compliant, reliable delivery in a regulated insurance environment. Top Skills: Apache AirflowSparkAzureAzure DevopsCi/CdDagsterDagster CloudDatabricksDatabricks WorkflowsDbtDelta LakeDltGitGreat ExpectationsMlflowMonte CarloPythonSQLUnity Catalog Analytical Mechanics Associates

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.