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.
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.
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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.
