Job description

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Summary: 5+ years of experience in application support, technical leadership, or data-platform troubleshooting Hands-on Azure data engineering and Python experience Working knowledge of Databricks and PySpark, including notebooks, data transformations, and read/write operations Advanced T-SQL and data warehouse skills, including stored procedures, functions, execution plans, indexing, and query optimization Experience troubleshooting ETL pipelines, large datasets, data-quality issues, and performance or scalability bottlenecks Understanding of RDBMS concepts, reporting flows, data movement, and production support practices Strong incident ownership, root-cause analysis, stakeholder communication, and technical coaching skills Preferred experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI, Power BI, Alteryx, ERP extraction concepts, and audit or accounting-related data . Bachelor's degree in Computer Science, Information Systems, or a related field required. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy .

Requirements

Must-haves

5+ years of experience in application support, technical leadership, or data-platform troubleshooting
Hands-on Azure data engineering and Python experience Working knowledge of Databricks and PySpark, including notebooks, data transformations, and read/write operations
Advanced T-SQL and data warehouse skills, including stored procedures, functions, execution plans, indexing, and query optimization
Experience troubleshooting ETL pipelines, large datasets, data-quality issues, and performance or scalability bottlenecks Understanding of RDBMS concepts, reporting flows, data movement, and production support practices
Strong incident ownership, root-cause analysis, stakeholder communication, and technical coaching skills
Bachelor's degree in Computer Science, Information Systems, or a related field required.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
What information we collect during our application and recruitment process and why we collect it;
How we handle that information; and
How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy .

Nice-to-haves

Preferred experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI, Power BI, Alteryx, ERP extraction concepts, and audit or accounting-related data .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azurepythonsql

Platform: greenhouse
Effort: quick