Engineer

job summary:

Randstad Digital is hiring and we're looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply.

location: Minneapolis, Minnesota

job type: Contract

salary: $91.10 - 96.10 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

• Seeking a senior, hands-on data engineer to design and deliver trusted data products for workforce
• analytics, operational reporting, executive decision-making, and AI-assisted analysis.
• The role requires deep Microsoft SQL Server and Microsoft Fabric expertise, advanced data modeling skills to create reusable analytical models for hypothesis testing and analysis, Robust data integration capabilities,practical experience using AI tools for data work, and advanced Excel proficiency.
• This is a senior, hands-on engineering role. The resource will be expected to take ownership of complex
• data problems from initial source assessment through ingestion, transformation, data quality validation,modeling, documentation, and delivery of analysis-ready data products. The ideal candidate can work effectively with both established enterprise data sources and less-structured, authorized inputs such as Excel workbooks, email-delivered files, exported reports, APIs, and approved web-based data sources.
• The environment is primarily within the Microsoft ecosystem. Microsoft SQL Server is the core database platform, Microsoft Fabric is heavily used for data engineering and analytics, and Azure will support the team's Operational Data Store. Power BI and Excel are key consumption tools. The team expects to gain access to Databricks in the first quarter of 2027, so prior Databricks or lakehouse experience is beneficial but not required.
• A successful candidate must be comfortable building robust technical solutions while also understanding how analysts and senior executives consume information. Although this is an engineering position, advanced Excel proficiency is required because many executive deliverables and analytical workflows will continue to be consumed through Excel.

qualifications:

Required Qualifications

7+ years of progressively responsible experience in data engineering, database engineering, analytics engineering, data integration, or a related discipline.

Advanced hands-on Microsoft SQL Server and complex SQL development experience.

Experience designing and delivering reusable ETL or ELT pipelines.

Hands-on Microsoft Fabric experience or Robust experience with a comparable modern cloud data platform.

Robust knowledge of relational, dimensional, semantic, and analytical data modeling.

Experience designing enterprise data models using repository-driven standards and Medallion methodology to create governed, high-quality, analytics-ready data assets.

Experience integrating enterprise data with nonstandard sources such as Excel, files, APIs,

email-delivered data, exported reports, or authorized website data.

Demonstrated data profiling, validation, reconciliation, and data quality problem-solving experience.

Advanced Excel skills, including Power Query, data models, PivotTables, advanced formulas, and external data connections.

Experience preparing data for Power BI, Excel, human analysts, or AI-assisted analytical workflows.

Working knowledge of source control, code review, testing, release management, and production support.

Robust communication skills and the ability to explain technical designs, assumptions, limitations, and findings to nontechnical stakeholders.

Ability to work independently and manage ambiguity in a complex, regulated enterprise environment.

AI Experience Candidates should have practical, work-related experience with one or more AI-assisted engineering or productivity tools, such as Microsoft 365 Copilot, GitHub Copilot, Claude Code, Microsoft Cowork, Devin, Visual Studio Code with approved AI extensions, or other enterprise-approved LLM tools.

Developing and refining prompts for data discovery, analysis, SQL generation, testing, documentation, and interpretation of results.

Providing schema context, definitions, examples, constraints, and expected output formats within prompts.

Validating AI-generated SQL, calculations, code, summaries, and analytical conclusions.

Recognizing hallucinations, unsupported conclusions, incorrect assumptions, and data leakage risk.

Creating repeatable prompt templates or AI-assisted workflows that improve analyst productivity.

Preferred Qualifications

Microsoft Fabric Lakehouse, Warehouse, Data Factory, Dataflows Gen2, notebooks, or semantic model experience.

Azure SQL, Azure Data Lake Storage, Azure Data Factory, or related Azure data services.

Python, PySpark, PowerShell, or another data transformation and automation language.

Power BI experience, including semantic models, DAX, Power Query, performance optimization, and executive reporting.

Power Apps or Power Automate experience.

Databricks, Delta Lake, Spark, medallion architecture, or comparable lakehouse experience.

Experience supporting both traditional business intelligence and AI-based analysis.

Experience with APIs, JSON, XML, HTML parsing, browser automation, or approved web data extraction.

Experience working with confidential or sensitive data in a regulated environment.

GitHub, Azure DevOps, ServiceNow, CI/CD, or automated testing experience.

skills:

APIs,AI,AI Experience,Azure data services,database platform,code review,information security,data analysis,analytics,analytical data,data discovery,data governance,data ingestion,data integration,data wrangling,data profiling,complex queries,databases,Databricks,Enterprise data,integration solutions,advanced formulas,ETL,generative AI tools,GitHub Copilot,data engineering,data leakage,LLM,metadata,Azure,Microsoft Data,advanced Excel proficiency,Excel,Advanced Microsoft Excel,Advanced Excel skills,Advanced MS Excel,Microsoft Fabric,Microsoft ecosystem,Power Automate,Microsoft SQL Server,Visual Studio Code,Microsoft 365 Copilot,Operational Data Store,PivotTables,Power BI,Power Apps,Power Query,productivity tools,prompt engineering,release management,SQL,stored procedures,code development,using AI tools,source control,advanced SQL,hypothesis testing,unstructured data,analytical,communication skills,work effectively,troubleshooting,problem-solving,Ability to work independently,analytical modeling,AI-assisted development,Business Intelligence & Reporting,calculations,solution development,data modeling,semantic models,data models,data quality,data products,exported,analytical models,modeling,data product,production support,compliance requirements,risk,semantic,error handling,technical leadership,testing,traceability,workflows,documentation

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.