Data Engineer

External

Bridgeigp · Salt Lake City Office, Sandy, UT

Full-timeOn-site2w ago

AgileAzureData ModelingDocumentationObservabilityRequirements Gathering

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Benefits

Full Insurance benefit suite including Medical Insurance, Dental Insurance, Vision Insurance, Critical Illness Insurance, Accident Insurance, Short Term Disability, Legal & Identity Theft Insurance, and Pet Insurance.Company paid Life Insurance (option to buy additional available) and Long-Term Disability.Access to benefits concierge service.Access to Mental Health & Well-Being service.Paid Time Off: Employee will accrue 5.23 hours of paid time off per pay period for a total of 17 days per year.11 Paid Holidays per year.Tuition Reimbursement: Up to $5,000 per year of pre-approved tuition expenses will be reimbursed upon submission of approved documentation. Repayment obligations may apply if employment terminates prior to 24 months.Your specific needs are important to us. If you need accommodations related to a disability or any other protected status during the recruitment process, please email talentsupport@bridgeig.com.Want to talk with someone about Bridge Culture?At Bridge, we understand that joining a new workplace is a significant decision. To help you gain deeper insights into our culture, weHealth insuranceDental insuranceVision insurance401(k)Parental leave

Additional Information

Make an Impact We are looking for a Data Engineer who is proficient and experienced across the full dataflow lifecycle from requirements gathering through pipeline development and semantic layer delivery. Design, build, and maintain scalable data pipelines using Azure Data Factory (ADF) and other Azure components. Design, build, and maintain scalable SQL database solutions. Advise on and support the creation of the semantic layer. Collaborate with cross‑functional teams to define data requirements and translate them into data models. Develop documentation and ensure smooth knowledge transfer for all solutions built. Ensure best practices regarding process quality, observability, and scalability. What You Should Bring Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). 1-2 years of experience in Data Engineering or a related role. Proficiency with Azure technologies, including Azure Data Factory and SQL Server. Strong SQL skills, including complex queries, stored procedures, and advanced table/trigger design for data integrity. Demonstrated experience integrating with various data‑serving APIs and transforming data into multiple formats. Excellent understanding of data modeling and database design. Strong attention to detail and ability to work with large datasets. Familiarity with agile methodologies and version control tools. A strong sense of ownership and the ability to work through ambiguity. What you can be part of You'll be part of a fast-growing Data & Technology team at Bridge Property Management that plays a critical role in driving data-driven decision making across the business. In this role, you'll design and build scalable data pipelines, support data modeling, and help deliver clean, reliable data for analytics and reporting. You'll collaborate with a high-performing, cross-functional team, helping turn complex data into actionable insights. Your work will directly contribute to improving operational efficiency and enabling smarter, faster business decisions in a dynamic, evolving environment.

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