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Data Quality Engineer

Ampcus, Inc

MILWAUKEE, WIJobSeen 1w agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
MILWAUKEE, WI
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Ampcus Inc. is seeking a Data Quality Engineer to assess data quality, build automated validation frameworks and monitoring systems, investigate discrepancies, and connect business data requirements with technical implementation. The role also addresses data governance and compliance, including data masking and lineage. Required technical skills include SQL, Python, data quality tools, visualization platforms, cloud platforms, and big data technologies; 3–8 years of relevant experience and a related degree are preferred.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonData Quality FrameworksDatabricksSnowflakePower BITableauCloud PlatformsSparkHadoopKafkaAirflowAttention to DetailCommunicationCritical Thinking

Qualifications

3+ Years Data ExperienceComputer Science, Data Science, or Related Technical Degree

Full job description

JOB REQUIREMENTS: Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Data Quality Engineer. Location: Milwaukee, WI. Key Responsibilities: Data Profiling & Assessment: Analyzing data sources to understand structure, content, and quality; identifying anomalies, duplicates, or missing values. Automated Testing: Designing and implementing automated data validation frameworks (e.g., dbt tests, Great Expectations) within ETL pipelines. Framework Development: Building reusable data quality rules and monitoring systems to detect issues in real-time. Root Cause Analysis: Investigating why data discrepancies occur and working with engineering teams to drive permanent resolutions. Stakeholder Liaison: Bridging the gap between business requirements (what "good data" looks like for a product) and technical implementation. Governance & Compliance: Ensuring data handling meets regulatory standards like GDPR or HIPAA, including implementing data masking and lineage. Required Technical Skills: Languages: Expert-level SQL for complex querying and Python for automation scripting. Data Quality Tools: Proficiency in frameworks like dbt, Great Expectations, Soda, Monte Carlo, or Informatica Data Quality, Databricks, Snowflakes. Data Visualization: Proficiency in Power BI, Tableau. Cloud Platforms: Hands-on experience with modern data stacks like Snowflake, AWS (Redshift/S3), Azure, or Databricks. Big Data Tech: Knowledge of Spark, Hadoop, Kafka, or Airflow for managing and monitoring large-scale pipelines. Preferred Qualifications: Experience: Typically, 3-8 years in Data Engineering, ETL Testing, or a specialized Data Quality role. Education: A degree in Computer Science, Data Science, or a related technical field. Soft Skills: High attention to detail, strong communication for explaining technical issues to non-technical stakeholders, and critical thinking for spotting hidden patterns. Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities. Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans or individuals with disabilities. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/AC49575FEA8641B1 This position is listed by a private employment agency. The agency is the legal employer. No fee will be charged of the job applicant.

How this job compares

Set against the 2,845 open Data Engineering jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • Wisconsin median$103–199K/yr27 salary ranges
  • US median$48–54/hr88 hourly ranges
Openings
Olive Jobs lists 49 open Data Engineering jobs in Wisconsin and 2,845 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Wisconsin
Experience
Data Engineering postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (2,422 postings).
Education
1,009 of the 2,845 open Data Engineering jobs (35%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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