Data Analytics Engineer

Responsibilities

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data. The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end‑users.

• 3+ years of experience data modeling in data warehouses with modern design patterns.
• 3+ years of experience with Microsoft Azure, including key components like Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL.
• 3+ years of experience with Power BI, including report building, DAX functions, and visualization best practices.
• 1+ year of experience with Microsoft Fabric and working knowledge of Lakehouse concepts, Delta tables, Pipelines, and Orchestration.
• Bachelor’s Degree – Computer Science, Data Engineering, or a related field or 8 years equivalent experience plus minimum 5 years prior relevant experience.

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

• Benefits include medical, dental, and vision insurance plans, expert guidance, and always‑on tools personalized to meet your needs.
• Our diversity and values provide a supportive community where any career stage can thrive.
• We are committed to your whole health and peace of mind through inclusive and personalized total rewards.
• We support your career growth and development in your role.
• Competitive base salary, bonus program, 401(k), and employee ownership program.

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.