Data Quality Engineer (District of Columbia USA)

This position is posted by Jobgether on behalf of Inclusion Cloud. We are currently looking for a Data Quality Engineer in District of Columbia (USA).

Are you passionate about ensuring data integrity at scale? This role offers an exciting opportunity to design and implement automated data quality processes that directly impact internal operations and external customer experiences. You’ll work closely with cross-functional teams to validate and monitor large-scale datasets, write test plans, and continuously refine a robust data quality framework. With a strong focus on automation, communication, and problem-solving, this position is ideal for someone who thrives on delivering reliable, high-quality data across an organization.

Accountabilities:

• Design, develop, document, and maintain a scalable data quality framework across data assets.
• Build automated and repeatable data quality checks to ensure accuracy and consistency.
• Validate data across pipelines and repositories against source systems.
• Collaborate with Data Engineering and other teams to gather requirements and align on test cases.
• Write and execute detailed test plans and document results for both technical and business audiences.
• Troubleshoot issues, perform root cause analysis, and fine-tune performance where necessary.
• Support ongoing data quality requests, tickets, and audits from stakeholders.
• Develop dashboards and reports to clearly communicate test results and data health metrics.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field — or 5+ years of equivalent professional experience.
• Strong analytical and critical thinking skills to resolve complex data issues.
• Solid foundation in development and automation, with a keen attention to detail and commitment to meeting deadlines.
• Proficient in SQL, capable of writing and reviewing complex queries.
• Programming experience with Python, Scala, or shell scripting; experience with Spark/PySpark is a strong asset.
• Familiarity with Hive (HQL), HDFS, and various data formats such as JSON, XML, ORC, Parquet, and AVRO.
• Proven ability to work independently while also collaborating effectively within a team.
• Excellent communication skills, especially when explaining technical details to non-technical stakeholders.
• Experience with performance tuning, debugging, and troubleshooting large-scale data processes.

Benefits

• Competitive salary based on experience and location.
• Remote flexibility or hybrid options depending on candidate preference.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and holidays.
• Professional development support and learning opportunities.
• Inclusive, collaborative work culture with growth potential.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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