Data Engineer

Skanska USA•Charlotte, North Carolina

15d•Onsite

About The Position

Skanska is searching for a dynamic Data Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion. Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose – we build for a better society. Skanska's values —Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life—are deeply engrained in how we work, which is why our values support and drive our D&I efforts. 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.

Requirements

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.

Nice To Haves

Fabric Data Engineer Associate (DP-700) certification is preferred.
Passion for new technologies and a proven track record of contributing to the technical and architectural vision within an enterprise setting.

Responsibilities

Design, develop, modernize, and support enterprise data integration, analytics, and reporting solutions across legacy, on-premises, and cloud-based platforms.
Build scalable data pipelines and trusted data products using ETL/ELT and Medallion Architecture principles.
Partner closely with business stakeholders, analysts, architects, and engineering teams.