Azure Data Engineer

Posted 28 Days Ago
Montvale, NJ, USA
In-Office
Senior level
Software
The Role
Administers and supports Azure data platforms, troubleshooting databases, ETL pipelines, large datasets, data-quality issues, and performance bottlenecks. Develops and supports data workflows using Python, Databricks, PySpark, T-SQL, and related Azure technologies. Responsibilities include query optimization, stored procedures, indexing, root-cause analysis, incident ownership, stakeholder communication, production support, and technical coaching.
Summary Generated by Built In

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

Note: This role is a hybrid - onsite position in New Jersey.

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.


Skills Required

  • 5+ years of experience in application support, technical leadership, or data-platform troubleshooting
  • Hands-on Azure data engineering experience
  • Hands-on 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
  • Experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI, Power BI, Alteryx, ERP extraction concepts, or audit and accounting-related data

Orion Innovation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Orion Innovation and has not been reviewed or approved by Orion Innovation.

  • Flexible Benefits — Flexibility, remote or hybrid work options, and wellness initiatives are described as available in many locations. Feedback suggests scheduling flexibility and wellness support are notable parts of the package.
  • Wellbeing & Lifestyle Benefits — Wellness resources, mindfulness programs, and fitness or sports benefits are mentioned in several regions. Feedback suggests these offerings add non-cash value to the overall package.
  • Retirement Support — 401(k) plans with potential company match are referenced in U.S.-oriented listings. Feedback suggests retirement options exist, though the strength of matching varies.

Orion Innovation Insights

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The Company
HQ: Edison, NJ
3,410 Employees
Year Founded: 1993

What We Do

Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America. For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.​ Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise.​ Our business has more than tripled over the last three years. ​ We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.

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