Job Description
Data Quality Engineer Advanced Systems Design - 3.7 Montgomery, AL Job Details 1 day ago Benefits Health savings account Paid holidays Disability insurance Health insurance Dental insurance Paid time off Vision insurance 401(k) matching Life insurance Qualifications Data integrity assurance Data model design Commercial use (data warehousing systems) Cloud analytics services Defect resolution root cause analysis Engineering testing Requirements design Cloud data warehouses Automation Data modeling projects Data validation techniques Quality control statistical data analysis Defect analysis Data reporting Metrics Reporting Schema design Trend analysis SQL Pattern recognition Data integrity and documentation Outlier detection IT monitoring tools Bachelor's degree Data integrity process (data warehousing) Quality control documentation Requirements analysis Quality improvement Compliance documentation Developing automated testing protocols Root cause analysis Full Job Description Advanced Systems Design is seeking a Data Quality Engineer for our client located in Montgomery, AL. This position is onsite in Montgomery, AL, and requires in-person availability starting day 1.
Job Overview:
A Data Quality Engineer, strong data analyst with deep technical skills in SQL, Purview, Data Pipelines and Data Modeling, plus experience in cloud data environments, automated testing, and collaboration with analytics and engineering teams. Ensures data is not only clean but also ready to support advanced analytics and AI applications Required Qualifications:
Data Quality Engineer & Analytics Skills Core Technical Skills:
MUST BE ABLE TO NAVIGATE AN ENVIRONMENT WITH LOW\NO DATA MATURITY
Data Profiling & Cleansing:
Analyze data to identify anomalies, duplicates, outliers, and missing values; apply cleansing techniques to improve data integrity. SQL Proficiency:
Write complex queries to validate data accuracy, perform transformations, and generate reports. (SSIS - ETL\ELT) Python & Other Languages:
Python is widely used for automation, data validation, and integration with analytics pipelines; SQL is essential for querying and reporting. Data Modeling & Warehousing:
Understand ETL/ELT processes, data warehouse/lake/lakehouse architectures, and data modeling principles. Cloud & Modern Data Stack:
Experience with cloud platforms (AWS, GCP, Azure), modern data warehouses (Snowflake, BigQuery), and tools like Spark, Kafka/Kinesis, Hadoop, or S3. Data Testing & Observability:
Design and deploy automated data testing at scale; use observability platforms for real-time monitoring. Analytics & Data Science Skills Data Quality Standards & Metrics:
Define and enforce data quality benchmarks; measure completeness, accuracy, timeliness, and consistency. Root Cause Analysis:
Identify why data issues occur (ETL bugs, user input errors, system failures) and implement fixes. Collaboration with Data Scientists:
Work with ML/data science teams to ensure training data is clean and reliable. Statistical & Trend Analysis:
Interpret patterns in large datasets to inform quality improvements. Soft & Communication Skills Stakeholder Engagement:
Gather requirements from business, engineering, and analytics teams; advocate for data quality across the organization. Problem-Solving & Attention to Detail:
Spot and resolve data issues efficiently; maintain high precision in validation. Documentation:
Record quality issues, processes, and improvements for transparency and compliance. Tools & Platforms Query & Analysis:
SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3. Data Quality Tools:
Data profiling tools (MS Purview), validation scripts, observability platforms. Collaboration:
Jira, Snowflake, or other data governance platforms. Preferred Qualifications:
Knowledge of DAMA-DMBoK, DCAM, MDM concepts, and governance frameworks. (8-10 Years) Experience with Microsoft Purview, Fabric, MS Power BI, and Key Vault (5-8 Years) Familiarity with AI/ML data readiness and feature-store-aligned data structuring. (5-8 Years) Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years) Education Required:
Bachelor's Degree Education/Certifications Preferred:
Master's Degree DAMA CDMP
(Associate/Practitioner) EDM Council DCAM ASQ
Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google) Advanced Systems Design, Inc. is:
A leading Information Technology provider for Federal, State & Local government agencies. A certified minority-owned small business government contractor with capabilities related to Public Health IT, Criminal Justice, Transportation, and Defense. A certified service-disabled veteran-owned company with a proud 46-year track record of providing successful innovative solutions for our government customers. A drug-free workplace in accordance with the Drug-Free Workplace Act of 1988. Applicants who have a signed offer of employment or contractor agreement are subject to: the pre-employment testing protocol: background investigation drug screening Our Employees:
Are actively working on next-generation technology projects with the U.S. Department of Veterans Affairs, CDC, and a wide array of Federal, State, and Local agencies throughout the United States Are eligible for wide-ranging benefits and perks, including but not limited to: Comprehensive Health Insurance with PPO and HDHP/HSA
options Dental Insurance Vision Insurance Short/Long-Term Disability Group Life Insurance - Company Paid Voluntary Life Insurance 401(k) Plan with Employer Match Paid Time Off (Vacation/Sick) Holiday Pay - Company Paid Federal Holidays Professional Certification Incentive Plan Employee Referral Plan Technology Exposure For additional information regarding Advanced Systems Design, please check out our WEBSITE or click HERE for all current job openings. Advanced Systems Design 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, disability, or status as a protected veteran.
