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# Data Engineer (Hybrid; Austin or Salt Lake City)

- **Company:** Ovivo Inc.
- **Location:** Round Rock, TX, United States
- **Experience:** Experienced
- **Salary:** $82,900.0 - $124,351.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Computer Programming, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Security, Data Structures, Relational Databases, Python (Programming Language), Software Architecture, Software Engineering, SQL Databases, Microsoft Fabric, Information Technology, Data Delivery, Data Pipelines
- **Published:** October 3, 2026
- **Apply:** https://www.careerjet.com/jobad/us101e04a110f5f1b7e9a2f6a14b5e67cc

## About the Role

timely data delivery for marketing operations.Does this sound like you? BS/BA degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field 2+ years experience with data modeling, warehousing and building ETL pipelines 3+ years of experience in developing software and/or data products, with programming experience including Python. Strong skills in algorithms, data structures, technical design and software architecture 3+ years of experience in SQL, relational databases, and good understanding of relational concepts Experience working within a Microsoft/Azure Ecosystem, including Microsoft Fabric and the Medallion Architecture or Star SchemaDP-600 or DP-700 Certification is a strong plus Comfortable working with ambiguous or evolving requirements Ability to effectively manage projects, prioritize tasks, and meet deadlines Proven track record of resolving complex technical challenges Demonstrated, expertise in designing and

## Description

efficiently to meet marketing and business requirements. Work within Microsoft Fabric ecosystem to build scalable, high-performance data models and workflows that support marketing insights. Develop and manage application caches to ensure faster data access for marketing tools and ensure data consistency across systems. Design and implement data models that support audience segmentation, targeting, personalized marketing strategies, and customer app tools. Perform data transformation and cleaning to ensure high-quality, accurate data is available for marketing analytics, dashboards, and reporting. Develop and maintain modern ETL/ELT pipelines, integrating data across multiple systems, such as CRM platforms, marketing analytics, and third-party tools. Collaborate with marketing and analytics teams to understand data requirements and provide actionable data insights for campaign optimization and reporting. Monitor, optimize, and troubleshoot data pipeline performance to ensure reliable and


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