--- title: 'Senior Data Engineer at Capital Technology Group' canonical: 'https://feeny.ai/job/senior-data-engineer-capital-technology-group-remote-aa78tnmcsmqk' type: 'job' last_seen: '2026-09-09' --- # Senior Data Engineer at Capital Technology Group - **Company:** Capital Technology Group - **Location:** Remote - **Work type:** remote - **Posted:** 2026-07-27 - **Last confirmed live:** 2026-09-09 - **Apply:** https://boards.greenhouse.io/capitaltg/jobs/5195543007?gh_jid=5195543007 ## Job description 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 Senior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Senior 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 Python, Apache Spark (PySpark), dbt, SQL (PostgreSQL), and AWS Glue. - Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch. - Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro. - Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies. - Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases. - Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes. - Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures. - 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 800-53 security controls. - Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services. - 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. ## 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 - 9+ years of professional experience in data engineering or related domains - Strong hands-on experience with: - Apache Spark (PySpark), 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, 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 ## 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 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 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) Thanks for your interest in Capital Technology Group! 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. ## About Capital Technology Group ## Company Overview - **One-liner**: Capital Technology Group (CTG) provides expert consulting services in software development, digital transformation, human-centered design, data analytics, and cybersecurity to federal and commercial clients. - **Entity Type**: Private (Privately Held) - **Headquarters**: Silver Spring, Maryland, United States - **Founded**: 2010 - **Founders**: Toby Lazar (Co-Founder and Managing Principal) ## Core Business - **Primary industries**: IT Services and IT Consulting; Federal Government Digital Services; Cybersecurity; Data Science & AI/ML - **Target customers**: B2G (federal agencies such as USCIS, DHS) and select commercial clients - **Mission / purpose**: To solve complex, mission-critical business challenges through agile methodologies, close client collaboration, and innovative technology solutions. ## Products & Services CTG offers a suite of professional services, each delivered as a consulting engagement: - **Information Security**: Enterprise authentication, multi-factor authorization, Zero Trust implementation, and threat detection. - **Data Science & AI/ML**: Big data processing pipelines (Databricks, Spark, Kafka, Airflow) and data visualization to drive actionable insights. - **Agentic AI**: Production-grade agentic AI with retrieval-augmented generation (RAG), tool-using assistants, and autonomous multi-agent workflows, built with governance and security. - **DevSecOps**: Automated CI/CD pipelines, secure coding practices, and monitoring for reliable, scalable releases. - **Digital Transformation**: Business Process Reengineering (BPR), legacy modernization, and cloud migration. ## Market Standing - **Valuation / Market Cap**: Not publicly available - **Key Metric**: Revenue not disclosed; total funding not disclosed (appears bootstrapped/organic growth) - **Notable Investors / Partners**: Member of the Digital Services Coalition; clients include United States Citizenship and Immigration Services (USCIS) and Department of Homeland Security (DHS) - **Growth Signals**: 84 employees as of mid-2025, with **+43.2% year-over-year headcount growth**; recognized as a **Top Workplace 2025** by The Washington Post based on employee feedback; 8 active job postings; expanding AI/ML and agentic AI capabilities ## Competitive Advantages - **Deep federal expertise**: Over a decade of experience serving mission-critical government agencies with a track record of delivery. - **Multidisciplinary team**: Combines software engineering, design, data science, and cybersecurity under one roof. - **Agile & collaborative culture**: Emphasizes partnership, transparency, and continuous improvement, as reflected in their core values. - **Recognized employer**: Washington Post Top Workplace 2025 award signals strong employee satisfaction and retention. ## Strategic Focus - **Current priorities**: Scaling AI/ML and agentic AI offerings; continuing federal digital modernization; maintaining growth in headcount and capabilities. - **Sustainability**: Aiming for net-zero impact by 2030, with Scope 2 emissions tracking in place. ## Why Work Here - **Culture**: Collaborative, inclusive, and mission-driven with core values of excellence, humility, respect, and shared passion. - **Remote / hybrid policy**: Not explicitly stated; roles appear to be based in the Washington, DC area (Silver Spring HQ) with flexibility likely depending on client needs. - **Benefits**: - Comprehensive health insurance (medical, dental, vision) - 100% employer-paid short/long-term disability and life insurance - 401k with company match - Flexible time off + 10 federal holidays - Yearly wellness budget (up to $500) - Continuing education budget (books, classes, certifications, Codecademy subscription) - Generous equipment reimbursement - Employee Assistance Program (EAP) - $5,000 referral bonus - **Engineering culture**: Agile, innovation-focused, with opportunities to work on cutting-edge technologies (AI/ML, DevSecOps, cloud). The interview process includes a technical challenge and a collaborative walkthrough. ## Sources 1. [capitaltg.com](https://www.capitaltg.com/) – Company overview and capabilities 2. [capitaltg.com/careers](https://www.capitaltg.com/careers) – Careers page with benefits and hiring process 3. [capitaltg.com/about](https://www.capitaltg.com/about) – About page, leadership, core values, sustainability 4. [linkedin.com/company/capitaltg](https://www.linkedin.com/company/capitaltg) – LinkedIn company profile, employee count, growth, open roles 5. [businesswire.com](https://www.businesswire.com/news/home/20250718053615/en/Capital-Technology-Group-Earns-Esteemed-Top-Workplace-2025-Honor-from-The-Washington-Post) – Top Workplace 2025 announcement ## Other roles at Capital Technology Group - [Staff Accountant (Hybrid Role - Silver Spring, Maryland)](https://feeny.ai/job/staff-accountant-hybrid-role-silver-spring-maryland-capital-technology-group-bewsqqzkjjg5) — Silver Spring, MD - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-capital-technology-group-united-states-cq5y35dekfca) — United States - [Network Architect](https://feeny.ai/job/network-architect-capital-technology-group-remote-m8z69nen2252) - [Business Analyst](https://feeny.ai/job/business-analyst-capital-technology-group-united-states-d40d00ate8p8) — United States - [Senior Capture Manager](https://feeny.ai/job/senior-capture-manager-capital-technology-group-washington-6j835yjp0vp1) — Washington, DC / United States - [Associate Recruiter](https://feeny.ai/job/associate-recruiter-capital-technology-group-washington-yz1hv599sxwh) — Washington, DC / United States - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-capital-technology-group-united-states-ehv11xynmssy) — United States - [Cloud Engineer](https://feeny.ai/job/cloud-engineer-capital-technology-group-united-states-car3xqdfsrfd) — United States - [Software Test Engineer](https://feeny.ai/job/software-test-engineer-capital-technology-group-united-states-de9yawh86va2) — United States - [Lead AI/ML Engineer](https://feeny.ai/job/lead-ai-ml-engineer-capital-technology-group-remote-ww7hbvqz1tqg)