Quality Engineer, Data

🕒 September 21

🇺🇸 United States – Remote

💵 $75k - $110k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capital Technology Group, LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

Capital Technology Group is a technology firm that specializes in solving complex business problems through digital services. They offer a range of IT professional services including data integration, custom application development, digital transformation, and information security. Their expertise encompasses modernizing legacy processes, implementing automated DevSecOps pipelines, and using data science techniques to derive actionable insights from big data. The company is particularly focused on serving federal government clients, ensuring high-quality services that enhance operational efficiency.

📋 Description

• 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 • 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

🎯 Requirements

• Applicants MUST BE US Citizens and be able to obtain Public Trust clearance • 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 • Experience identifying, documenting, prioritizing, and tracking software defects • Experience supporting Agile software development teams • Strong analytical, communication, and problem-solving skills • Ability to investigate data discrepancies, identify root causes, and communicate technical data quality issues clearly to technical and non-technical stakeholders

🏖️ 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)