Senior Data Engineer

Job Overview

Skanska is searching for a Senior 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.

 

The Senior Data Engineer is a senior technical contributor within the Data Management and Analytics team responsible for the design, technical leadership, delivery, and operation of complex enterprise data solutions. The role provides technical ownership across data engineering initiatives, translating target-state architecture and platform standards into scalable, secure, governed, and supportable solutions.

 

The Senior Data Engineer leads the technical execution of data modernization efforts, independently solves complex engineering problems, and ensures solutions meet enterprise standards for performance, security, reliability, observability, governance, and cost. In addition to hands-on engineering, the role provides technical guidance through design and code reviews, mentoring, knowledge sharing, and continuous improvement of engineering practices.

 

What You’ll Do :

• Provide technical ownership for complex data engineering initiatives, from detailed solution design through implementation, deployment, operational readiness, and production support.
• Translate target-state architecture and approved reference patterns into detailed engineering designs, ensuring consistent implementation across projects, domains, and modernization efforts.
• Lead the technical delivery of legacy modernization and migration initiatives, including assessment, dependency analysis, data reconciliation, cutover, performance validation, and decommissioning.
• Design and deliver scalable enterprise data solutions across ingestion, transformation, orchestration, storage, modeling, and serving layers using SQL, Python, PySpark, Spark SQL, APIs, CDC, streaming, and file-based integration patterns.
• Develop reusable engineering components and implementation patterns that improve consistency, maintainability, and operational support.
• Own detailed technical design decisions for assigned solutions, evaluating trade-offs involving performance, scalability, security, reliability, maintainability, and cost.
• Design governed data products with clear ownership, documentation, quality rules, lineage, and operational expectations.
• Promote engineering quality through design reviews, code reviews, automated testing, CI/CD, and deployment practices.
• Implement observability and data-quality capabilities covering pipeline health, freshness, lineage, reconciliation, performance, and failures.
• Lead troubleshooting and root-cause analysis for complex or high-impact production incidents and identify improvements that prevent recurrence.
• Optimize workloads for performance, resilience, scalability, and platform consumption using appropriate FinOps practices.
• Mentor Data Engineers through technical guidance, design discussions, code reviews, problem solving, and knowledge sharing.
• Collaborate with team members and cross-functional teams, identify gaps in engineering standards, and recommend improvements to development practices, automation, governance, platform capabilities, and emerging data and AI solutions.

 

Senior Data Engineer Required Qualifications:

• • • 5+ years of progressive data engineering experience, including independently designing and delivering complex enterprise data solutions.
    • 2+ Advanced proficiency in SQL/T-SQL with strong hands-on experience in Python, PySpark, Spark SQL, Delta Lake, Lakehouse, Medallion Architecture, and dimensional modeling.
    • 2+ years of experience with Microsoft Fabric, Azure Databricks, or a comparable modern enterprise data platform, with Microsoft Fabric preferred.
    • 2+ Strong experience designing ETL/ELT and integration solutions using APIs, batch, incremental loading, CDC, file-based, and streaming patterns.
    • Bachelor's degree in computer science, information systems, data engineering, or a related discipline, or equivalent practical experience.

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

 

Our  Investment  in you:

• • • We believe that Benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s 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 – to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation and Benefits summary 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, there’s 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 we’re committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
    • We’re committed to your success by developing you in your role and supporting your career growth
    • Compensation and financial well-being – Competitive base salary, excellent bonus program, 401k, & Employee ownership program.  

Come work with us and join a winning team!

 

Apply Today for Immediate Consideration!

Background Check Required

 

Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.

 

Skanska Equal Employment Opportunity

 

Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we’re one of the world’s largest construction and project development companies. With operations in select markets throughout the Nordics, Europe, and the United States, global revenue totaled $15.9 billion in 2024.

 

Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector’s net investments in commercial projects totaled $224 million.

 

Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.

 

Skanska's Applicant Privacy Policy for California Residents

 

Search Firm and Employment Agency Disclaimer  Search Firm and Employment Agency Disclaimer Skanska USA Human Resources (“Skanska HR”) provides HR services to the Skanska business units within the U.S.A. , including Skanska USA Civil Inc., Skanska USA Building Inc., Skanska USA Commercial Development Inc. , and Skanska Infrastructure Development Inc. (collectively “Skanska USA”). As such, Skanska HR is the sole authorized representative of Skanska USA to execute any agreements with search firms, employment agencies , or any employment vendor (“Vendor”). As a condition precedent to any entitlement for payment, a Vendor shall have both (1) the Skanska USA Placement Agreement and (2) an Engagement Job Order executed by an authorized Skanska HR representative. Absent the properly executed documents, Skanska HR shall have no obligation to make payment to the Vendor. Verbal or written communications from any employee of Skanska USA business units shall not be considered binding obligations. All resumes , whether unsolicited or solicited , shall be considered the property of Skanska HR.

 

Primary Location

US-NC-Charlotte

Primary Work Location/Assignment

Hybrid

Skanska Business Unit

Skanska USA Inc.

Employee Status

Full Time

Telecommute (Used for Career Site)

No

Salary Low

Salary High