Senior Data Engineer

Harvey Nash; Charlotte (NC); Hybrid; USD 103,000 - 117,000; Full time

Job summary

Harvey Nash is seeking a Sr. Data Engineer in Charlotte, NC (Hybrid: 2 days a week). This contract-to-hire role requires strong hands-on data engineering skills, including Python, PySpark, SQL, and Databricks, plus experience with Azure cloud data platforms and leadership.

The team will focus on enterprise-scale data solutions, data lakes, and ETL/ELT pipelines. Candidates should be prepared for live coding in PySpark and SQL during the technical interview, and mentoring responsibilities with

Qualifications

• Strong hands-on experience with Python, PySpark, SQL and Databricks.
• Strong experience with Azure/cloud data platforms.
• Proven technical/team leadership experience.
• Experience designing and implementing enterprise-scale data solutions.
• Strong understanding of DataLakes, ETL/ELT, data modeling and performance tuning.
• Experience with CI/CD and production data pipelines.
• Ability to mentor engineers, conduct code reviews and provide technical direction.
• Experience with streaming technologies such as Kafka/Kinesis is a plus.
• Experience in regulated/enterprise environments is preferred.

Responsibilities

• The technical interview will include live coding, with a strong focus on PySpark and SQL, along with experience- and scenario-based technical questions.
• A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $75/Hr. to $85/hr.

Skills

Python

PySpark

SQL

Databricks

Azure cloud

CI/CD

Kafka/Kinesis

Mentoring

Code reviews

Data modeling

Tools

Databricks

Job description

Job Title: Sr. Data Engineer

Location: Charlotte, NC (Hybrid working - 2 days a week)

Contract to hire

Job Detail

SeniorData Engineer

We are alsolooking for a strong hands-on Senior Data Engineer to join the sameteam.

Keyrequirements:

• Strong hands-on experience with Python,PySpark, SQL and Databricks
• Strong experience with Azure/clouddata platforms
• Proven technical/teamleadership experience
• Experience designing andimplementing enterprise-scale data solutions
• Strong understanding of DataLakes, ETL/ELT, data modeling and performance tuning
• Experience with CI/CD andproduction data pipelines
• Ability to mentor engineers,conduct code reviews and provide technical direction
• Experience with streamingtechnologies such as Kafka/Kinesis is a plus
• Experience inregulated/enterprise environments is preferred

Keyrequirements:

• 5–8 years of Data Engineering/DataIntegration experience
• Strong Python
• Strong PySpark / Spark
• Strong SQL
• Hands-on Databricks
• Experience with Azure oranother major cloud platform
• Data Lake, ETL/ELT and datapipeline development
• SQL and pipeline performanceoptimization
• CI/CD experience
• Strong understanding of datastructures and data modeling
• Experience supporting productiondata applications and troubleshooting complex issues

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

A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $75/Hr. to $85/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