Quality Engineering (QE) Data Quality Engineer

Amida Technology Solutions, Inc.; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

401(k) match

4 weeks PTO

Medical insurance

Dental insurance

Tuition/training assistance

Job summary

Amida Technology Solutions, Inc. is seeking a QE Data Quality Engineer to own data integrity across test environments and analytics platforms.

This role requires 3-4 days per week on-site at a client site in downtown Dallas, TX, and will report to the Program Manager. You will design test data sets, implement masking, validate ETL/ELT pipelines, build reusable QA frameworks, and monitor data quality metrics while collaborating with engineers, DBAs, and product owners to ensure reliable data

Qualifications

• Bachelor's degree in computer science, engineering, or related discipline.
• 3+ years in test data management, data masking, and DB validation.
• 2+ years validating data pipelines and reporting with Snowflake/Power BI.
• Experience with relational DB design, indexes, constraints.
• Proven ownership of test data strategy and environment governance.

Responsibilities

• Design, build, and maintain test data sets with edge cases and referential integrity.
• Implement data masking, subsetting, and synthetic data generation for non-production environments.
• Validate ETL/ELT pipelines end-to-end and isolate defects to stages.
• Build reusable data quality frameworks and integrate into CI/CD pipelines.
• Define and track data quality metrics and report trends to stakeholders.
• Collaborate with developers, DBAs, data engineers, and product owners on data requirements.

Skills

Advanced SQL

Jira/Xray

Confluence

GitHub Actions

Azure DevOps

Python

CI/CD

Data masking

Privacy regulations

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Power BI

PostgreSQL/SQL Server

Job description

Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact.

Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.

Amida Technology Solutions is seeking a Quality Engineering (QE) Data Quality Engineer. The successful candidate will own the integrity of the data that flows through the test environments and analytics platform. This role will report to the Program Manager. The ideal candidate will be motivated by the opportunity to support public agencies, nonprofit organizations, and private companies in transforming their data into actionable insights. The candidate must be willing and able to work 3-4 days per week at our client's site in downtown Dallas, TX.

What you will do:

• Design, build, and maintain test data sets that cover realistic edge cases, referential integrity across systems, and volume profiles representative of production
• Implement and operate data masking, subsetting, and synthetic data generation so that non-production environments carry no live personal or regulated data
• Write and automate database-layer validation such as row counts, reconciliation, schema and constraint checks, referential integrity, slowly changing dimension behavior, and transformation logic
• Validate ETL/ELT pipelines end to end, from source ingestion through staging and curated layers, and isolate defects to the responsible stage
• Build reusable data quality frameworks and check suites, and wire them into CI/CD so data defects fail fast rather than surfacing in UAT
• Define and track data quality metrics (e.g., completeness, accuracy, timeliness, uniqueness, consistency) and report trends to engineering and product leadership
• Partner with developers, DBAs, data engineers, and product owners on test data requirements, refresh cadence, and environment readiness
• Triage production data incidents, perform root cause analysis, and close gaps in coverage that allowed the defect through
• Document data lineage, masking rules, and validation coverage so audits and onboarding do not depend on undocumented institutional knowledge
• Other duties as assigned

Required Education:

• Bachelor's degree in computer science, engineering, or a related discipline

Required Experience:

• At least three years of hands‑on experience in test data management, data masking or de‑identification, and database or data‑layer validation
• At least two years of data validation and reporting experience with Snowflake and Power BI or similar technologies
• Practical experience with relational databases (e.g., PostgreSQL, SQL Server, Oracle, or MySQL) including schema design concepts, indexes, and constraints
• Demonstrated ownership of a test data strategy: provisioning, refresh, subsetting, and environment‑specific data governance
• Experience validating data pipelines and warehouses and reconciling data across source and target systems

Required Skills:

• Advanced SQL including complex joins, window functions, aggregation, and query tuning against large tables
• Proficiency with Jira/Xray, Confluence, GitHub Actions, and Azure DevOps as the shared baseline toolset across the QE team
• Working knowledge of privacy and compliance requirements that drive masking (such as GDPR, CCPA, HIPAA, or PCI DSS) and the masking techniques that satisfy them (e.g., substitution, shuffling, tokenization, format‑preserving encryption)
• Scripting or programming ability in Python, or a comparable language, for automating validation and data generation
• Familiarity with CI/CD tooling and version control, and comfort embedding data checks into automated builds
• Ability to communicate clearly in writing, including defect reports, validation evidence, and documentation that a non‑specialist can follow
• Strong analytical and problem‑solving skills

Preferred:

• Experience with commercial or open‑source TDM and masking tools (e.g., Delphix, Informatica TDM, IBM Optim, Tonic, or Redgate Data Masker)
• Knowledge of data quality frameworks such as Great Expectations, dbt tests, Soda, or Deequ
• Understanding of cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift
• Experience with orchestration tooling such as Airflow, dbt, or Azure Data Factory
• Streaming or event data validation with Kafka or an equivalent
• Synthetic data generation for cases where production‑derived data cannot be used at all
• Security testing experience with Veracode or an equivalent
• Mobile automation testing experience with BrowserStack, Percy, or equivalent platforms
• Experience with UiPath or other RPA automation software
• Familiarity with Selenium, Playwright, REST Assured, Postman/Newman, and OpenAPI/Swagger for UI, API, and contract testing
• Prior work on federal, state, or local government programs

Success at Amida

Communication is the key to success at Amida. Our people are known for their can‑do attitude and their ability to work effectively with both internal and client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have great initiative, are opinionated about the best ways of doing things, and align quickly to decisions. A sense of humor is an asset at Amida.

Full‑time, regular employees at Amida enjoy a robust benefits package that includes a generous 401(k) match with immediate vesting, 4 weeks of PTO, paid parental leave, medical insurance, dental insurance, vision insurance, life/AD&D insurance, and short‑term disability. We also offer tuition/training assistance and team‑building opportunities to encourage professional growth and collaboration.

All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.