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Senior Data Engineer

Insight Global

Upper Dublin, PAJobSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
Upper Dublin, PA
Work Authorization
Not specified

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Job overview

Insight Global seeks a Senior Consultant in Data Engineering for a healthcare client to optimize and advance its Microsoft Fabric environment and support Azure initiatives. The senior individual contributor will design large-scale data warehouses and cloud solutions, build and optimize data pipelines, and address complex technical challenges. The role calls for independent problem-solving and collaboration with stakeholders and the data engineering team.

Skills & qualifications

RequiredNice to have

Skills

Microsoft Fabric, requiredAzure, requiredDevOps, requiredAzure Synapse, requiredPython, requiredPySpark, requiredNotebooks, requiredAdvanced SQL, requiredETL/ELT, requiredData Integration, requiredDatabase Optimization, requiredData Warehousing, requiredCloud Data Architecture, requiredAgentic AI, nice to haveReal-Time Data Streaming, nice to have

Qualifications

10+ Years Data Engineering Experience, required

Full job description

Job Description

Job Description: Insight Global is seeking a Senior Consultant in Data Engineering for a top healthcare client. This individual will join a highly technical data engineering team working on advanced Microsoft Fabric and Azure initiatives, with a major focus on optimizing the current Fabric environment. They will work hands-on with Fabric, Azure Synapse, DevOps, Python, PySpark, Notebooks, SQL, and ETL/ELT, while designing and optimizing large-scale data warehouses and cloud data solutions. This is a senior-level individual contributor role where the candidate will be expected to ramp quickly, independently solve complex technical challenges, and bring strong technical confidence to the team. The team is working beyond basic Fabric implementation and is looking for someone who can speak to meaningful projects, use cases, and challenges they have personally worked through.

Day-to-Day:

  • Work hands-on within Microsoft Fabric to optimize and advance the current data environment

  • Design and implement large-scale data warehouses and cloud infrastructure

  • Build and optimize ETL/ELT pipelines using Python, PySpark, and Notebooks

  • Optimize database and data-platform performance

  • Support Azure migrations and cloud-native data initiatives -Troubleshoot complex technical incidents and lead root-cause analysis

  • Partner with stakeholders to translate business requirements into scalable technical solutions

  • Support data governance, security, user access, permissions, and regulatory requirements

  • Coordinate with the broader data engineering team to implement improvements and resolve issues

  • Operate as a senior individual contributor who can ramp quickly and work independently

Skills and Requirements

Must-Haves:

  • 10+ years of Data Engineering experience

  • Microsoft Fabric hands-on experience or strong working knowledge, backed by a strong Azure background in DevOps and Synapse

  • Strong Python and PySpark skills with experience using Notebooks

  • Advanced SQL, ETL/ELT, data integration, and database optimization experience

  • Experience designing and implementing large-scale data warehouses and cloud data architecture Plusses:

  • Agentic AI experience within Microsoft Fabric

  • Real-time data streaming experience

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

How this job compares

Set against the 2,932 open Data Engineering jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This postingNot listed
  • Pennsylvania median$105–208K/yr78 salary ranges
  • US median$47–55/hr101 hourly ranges
Openings
Olive Jobs lists 96 open Data Engineering jobs in Pennsylvania and 2,932 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Pennsylvania
Experience
This posting asks for at least 10 years of experience — more than three in four Data Engineering postings that state a minimum ask for (median 5 years, across 2,566 postings).
Education
1,091 of the 2,932 open Data Engineering jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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