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Harvey Nash · Short Hills, New Jersey
Senior Data Engineer
Short Hills, NJ
Work Model:
Hybrid – 2 days onsite per week
Employment Type:
Contract-to-Hire
About the Role
We are looking for
Senior Data Engineer
to join a collaborative Data & Analytics team supporting
Claims Analytics . This is a hands-on engineering role focused on building, enhancing, and supporting modern data applications and pipelines.
The ideal candidate has strong experience with
Python, PySpark, SQL, and Databricks , along with cloud data engineering experience in
Azure or another major cloud platform .
You will work closely with Data Architects, Product Owners, and other engineering teams to design, develop, optimize, and support enterprise-scale data solutions.
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
Design, develop, and support new and existing data engineering applications.
Build and maintain scalable
ETL/ELT pipelines
and data integrations.
Develop data solutions using
Python, PySpark, SQL, and Databricks .
Work with Data Architects to translate high-level data flows into technical implementations.
Optimize SQL queries, Spark jobs, schemas, and data pipelines for performance and scalability.
Develop and maintain data solutions across
Data Lake and Data Warehouse
environments.
Participate in code reviews, testing, deployment, and technical documentation.
Monitor production data pipelines and troubleshoot complex issues.
Support CI/CD processes for data engineering applications.
Work collaboratively with Product Owners, Product Managers, Scrum Masters, and engineering teams.
Provide technical guidance and help mentor junior engineers.
Required Qualifications
5–8 years of experience
in Data Engineering, Data Integration, or Data Warehousing.
Strong understanding of
Data Lakes, ETL/ELT, and data modeling .
Ability to work effectively in a collaborative Agile environment.
Nice to Have
Delta Lake
Azure Data Factory
Azure Synapse
Kafka or Kinesis
Streaming/event-driven architectures
Power BI
Azure ML
Data security, encryption, and access-control experience
Interview Process
The technical interview will include
live coding and technical problem-solving .
Python/PySpark coding
SQL testing
Data engineering scenarios
Spark/PySpark troubleshooting
Performance optimization
Experience-based 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.
Core skills:
Python | PySpark | SQL | Databricks | Azure | Data Engineering | Data Lake | ETL/ELT
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 $75/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
Details
| Company | Harvey Nash |
| Location | Short Hills, New Jersey |
| Type | FULL TIME |
| Niche | Full-time |