We are seeking a talented Data Engineer to design, develop, modernize, and support enterprise data integration, analytics, and reporting solutions across legacy, on-premises, and cloud-based platforms. The ideal candidate will have experience with Microsoft data technologies such as SQL Server, SSIS, and SSRS, together with hands-on exposure to Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Databricks, Spark, Delta Lake, and Lakehouse architectures.

This role will partner closely with business stakeholders, analysts, architects, and engineering teams to build scalable data pipelines and trusted data products using ETL/ELT and Medallion Architecture principles. The successful candidate will possess strong SQL and data engineering skills, an understanding of data governance, security, quality, lineage, and observability, and experience working within Agile, Scrum, or Kanban delivery environments. Fabric Data Engineer Associate (DP-700) certification is preferred.

The ideal candidate will have a passion for new technologies and a proven track record of contributing to the technical and architectural vision within an enterprise setting.

Data Engineer Required Qualifications:

• • • 3+ years of experience developing SQL-based data integration, transformation, and reporting solutions.
    • 3+ years of experience designing, developing, and supporting ETL/ELT pipelines using technologies such as SQL Server Integration Services (SSIS), Azure Data Factory, Azure Functions, Logic Apps, Azure Synapse Analytics, or similar data integration platforms.
    • 3+ years of experience with data warehouse design, dimensional modeling, or modern analytical data platforms.
    • 1+ year of experience with Microsoft Fabric or Databricks, including exposure to Lakehouse concepts, Apache Spark, Delta tables, data pipelines, and orchestration.
    • 1+ year of experience using GitHub, Azure DevOps, or other source control systems.
    • 6+ months of experience working within Agile, Scrum, or Kanban delivery frameworks.
    • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field; or equivalent professional experience.

Currently, the company is not considering applicants for this position who now or in the future require employment sponsorship by the company.

OurInvestmentin you:

• • • We believe thatBenefitsshould connect you to the support you need when it matters most, and should help you care for those who matter most. That9s why we provide an array of options (including medical, dental, and vision insurance plans), expert guidance, and always-on tools, that are personalized to meet the needs of your reality 6 to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation andBenefitssummary on our careers site for more details.
    • As a Skanska community, our values ground us, and our diversity of experience propels us forward. No matter what your career stage, there9s a place for you to thrive here and partner with us in shaping how our world lives, moves, and connects.
    • At Skanska, we Care for Life. And we9re committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
    • We9re committed to your success by developing you in your role and supporting your career growth
    • Compensation and financial well-being 6 Competitive base salary, excellent bonus program, 401k, & Employee ownership program.

Come work with us and join a winning team!

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