---
title: 'Quality Engineer (Data) at Capital Technology Group'
canonical: 'https://feeny.ai/job/quality-engineer-data-capital-technology-group-united-states-sxy39a5a9n7k'
type: 'job'
last_seen: '2026-10-18'
---

# Quality Engineer (Data) at Capital Technology Group

- **Company:** Capital Technology Group
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-10-18
- **Apply:** https://boards.greenhouse.io/capitaltg/jobs/5235742007?gh_jid=5235742007

## 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 Quality Engineer to join a data engineering team, supporting a program that manages financial and regulatory data. This role develops and implements quality assurance strategies, testing methodologies, and automation practices that keep data accurate, complete, consistent, and reliable across modern data pipelines and analytics platforms, combining strong testing and automation skills with data engineering fundamentals and the rigor financial and regulatory data demands.

You Will Get To

- Develop and implement data quality strategies, standards, testing practices, documentation, and maintenance processes for data pipelines and analytical datasets.
- Design and execute automated and manual tests covering data accuracy, completeness, integrity, uniqueness, schema consistency, business rules, freshness, and statistical validity.
- Build automated quality checks and integration/end-to-end tests using Python, PySpark/Spark, SQL, and Apache Airflow.
- Validate data transformations and pipelines across Apache Spark, Python, AWS, Amazon S3, and related AWS data services.
- Develop reusable testing frameworks and utilities for data pipelines and CI/CD, ensuring code and data are validated before production release.
- Implement quality validation across raw, cleaned, curated, and analytics-ready data, establishing thresholds, rules, and acceptance criteria.
- Investigate data anomalies, schema changes, missing data, pipeline failures, and other quality issues; identify root causes and partner with Data Engineers on resolution.
- Conduct code and product reviews and ensure new pipelines and transformations include appropriate unit, integration, and data quality testing.
- Monitor data quality metrics and dashboards and support automated regression testing to protect downstream data consumers.
- Collaborate with Data Engineers, Data Scientists, Analysts, and stakeholders to translate business and regulatory requirements into data quality controls throughout the SDLC.
- Support UAT, release validation, production deployments, and documentation of test strategies, requirements, defects, and validation procedures.

## Who You Are

- Passionate about building quality into data and software from the beginning
- A detail-oriented problem solver who enjoys identifying risks and improving processes
- Comfortable collaborating across data engineering, analytics, and stakeholder teams
- Able to balance strategic quality initiatives with hands-on testing responsibilities
- A strong communicator who can clearly document findings and advocate for quality improvements, translating technical data issues for non-technical stakeholders
- Curious about emerging tools, technologies, and testing best practices
- Motivated by mission-driven work and delivering datasets stakeholders can trust

## Qualifications

- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field  (or equivalent experience)
- 7+ years of professional experience in software quality assurance, testing, or quality engineering roles
- Strong programming experience with Python, and experience developing automated tests and test frameworks (e.g., Pytest or comparable)
- Strong understanding of data quality principles and methodologies, including accuracy, completeness, consistency, uniqueness, validity, and timeliness
- Experience working with relational databases and SQL
- Experience testing data pipelines, ETL/ELT processes, or large-scale data transformations
- Experience with distributed data processing technologies such as Apache Spark/PySpark
- Familiarity with Apache Airflow or another workflow orchestration platform
- Experience working with cloud-based data platforms, preferably AWS
- Experience creating, executing, and maintaining automated and manual test plans and test cases, and identifying, documenting, prioritizing, and tracking software defects
- Experience supporting Agile software development teams
- Strong analytical, communication, and problem-solving skills, including the ability to investigate data discrepancies, identify root causes, and communicate technical data quality issues clearly to both technical and non-technical stakeholders

## Nice to Have

- Experience testing financial, securities, regulatory, or other highly governed data
- Experience with AWS services such as Amazon S3, AWS Glue, Amazon Redshift, and/or Amazon Athena
- Experience implementing data quality frameworks or automated data validation platforms
- Experience with Pytest or similar Python testing frameworks
- Experience with dbt and/or automated testing of SQL-based transformations
- Experience with CI/CD pipelines and automated testing within software development workflows
- Experience with data lineage, metadata management, and data observability
- Experience testing data in data lakes, lakehouses, or data warehouses
- Familiarity with schema evolution, schema validation, and detection of schema drift
- Experience designing tests for high-volume datasets and distributed processing environments
- Experience supporting federal government agencies
- Certified Software Tester (CSTE), ISTQB, or similar certification

Salary

We are committed to offering a competitive salary for this position, with an estimated range of $75k–$110k annually. Please note that this range is intended to provide a general idea of what to expect. The final offer may vary based on experience, skills, and other factors.

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

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