Data Engineer: Build Scalable Data Pipelines & Cloud Analytics

Skansk; Charlotte (NC); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k plan

Employee ownership program

Job summary

Skanska is seeking a talented Data Engineer to design, develop, modernize, and support enterprise data integration, analytics, and reporting solutions across on‑premises and cloud platforms. The role emphasizes SQL Server, SSIS/SSRS, and Microsoft Fabric/ADF/Synapse with Databricks and Spark exposure.

You will partner with analysts, architects, and engineers to deliver scalable data pipelines. The ideal candidate has 3+ years in data integration, warehousing, and modern analytics, and a

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 SSIS, Azure Data Factory, Azure Functions, Logic Apps, Synapse Analytics, or similar 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 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 related field; or equivalent professional experience.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data products.
• Collaborate with stakeholders to deliver trusted data and analytics capabilities.
• Implement data governance, security, and observability across platforms.

Skills

SQL-based data integration

ETL/ELT pipelines

Data governance, security, quality, &

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server

SSIS

SSRS

Azure Data Factory

Azure Synapse Analytics

Databricks

Spark

Delta Lake

Lakehouse

GitHub

Azure DevOps

Job description

Skanska is seeking a talented Data Engineer to design, develop, modernize, and support enterprise data integration, analytics, and reporting solutions across on‑premises and cloud platforms. The role emphasizes SQL Server, SSIS/SSRS, and Microsoft Fabric/ADF/Synapse with Databricks and Spark exposure.

You will partner with analysts, architects, and engineers to deliver scalable data pipelines. The ideal candidate has 3+ years in data integration, warehousing, and modern analytics, and a