Senior Data Engineer

  • Harvey Nash
  • Short Hills, New Jersey
  • 11/14/2026
Full time Information Technology Telecommunications

Job Description

Job Description

Job Title: Sr. Data Engineer

Location: Short Hills, NJ / Hartford CT / Charlotte, NC (Hybrid working - 2 days a week)

06 Months, Contract to hire


Core skills: Python PySpark SQL Databricks Azure Data Engineering Data Lake ETL/ELT


Job description:


  • Senior Data Engineer, building ETL pipelines daily in Azure and Databricks environment, working with SQL and python


Databricks

  • Unity catalogue
  • They are able to write python code for pipelines within databricks
  • Spark Declarative pipelines - need to know how to write these
  • How to ingest data within databricks


Data eng. skillset - 3 main things We are looking for

  • Building pipelines, designing projects and implementing them, hands on
  • Good understanding of the data, if he gives you a data set, can they look at it and tell what story it's telling
  • Ability to learn and pickup things quickly, basic analytical skills


Key requirements:

  • 5-8 years of Data Engineering/Data Integration experience
  • Strong Python
  • Strong PySpark / Spark
  • Strong SQL
  • Hands-on Databricks
  • Experience with Azure or another major cloud platform
  • Data Lake, ETL/ELT and data pipeline development
  • SQL and pipeline performance optimization
  • CI/CD experience
  • Strong understanding of data structures and data modeling
  • Experience supporting production data applications and troubleshooting complex issues


The technical interview will include live coding, with a strong focus on PySpark and SQL, along with experience- and scenario-based technical questions.



What We're Looking For


We're looking for someone who is genuinely hands-on and comfortable working deep in the technology. Strong candidates will have recent experience building production data solutions rather than simply managing or overseeing them.


If you're interested in building scalable data solutions and working with a strong Data & Analytics team, we'd love to hear from you.


A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $70/Hr. to $80/hr.


Benefits of our contractor

At Harvey Nash, we know that great technology professionals deserve great support. That's why we offer a comprehensive benefits package designed to help you thrive-professionally and personally. From company-contributed medical, dental, and vision plans to a 401(k), we invest in your health and future. You'll also enjoy perks like referral bonuses, commuter savings, a mobile payroll app for easy access to your pay and benefits, and a variety of voluntary insurance options to fit your lifestyle. Join a global IT leader that values your expertise, rewards your contributions, and supports your well-being every step of the way.


The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws