Lead Data Engineer

Project overview

Job Title: Lead Data Engineer

Requirements

PySpark, SQL and Databricks

data platforms

leadership experience

implementing enterprise-scale data solutions

Lakes, ETL/ELT, data modeling and performance tuning

production data pipelines

conduct code reviews and provide technical direction

technologies such as Kafka/Kinesis is a plus

regulated/enterprise environments is preferred

This is not

simply a “Lead” title role. The team is specifically looking for someone who

has real experience leading engineers/projects while remaining technically

hands-on.

Key

Integration experience

another major cloud platform

pipeline development

optimization

structures and data modeling

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.

If you are

interested, please send me your updated resume along with your current

location, work authorization, availability, and compensation expectations,

and I can share more details about the opportunity and interview process.

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.

• Strong hands-on experience with Python,
• Strong experience with Azure/cloud
• Proven technical/team
• Experience designing and
• Strong understanding of Data
• Experience with CI/CD and
• Ability to mentor engineers,
• Experience with streaming
• Experience in
• 5–8 years of Data Engineering/Data
• Strong Python
• Strong PySpark / Spark
• Strong SQL
• Hands-on Databricks
• Experience with Azure or
• Data Lake, ETL/ELT and data
• SQL and pipeline performance
• CI/CD experience
• Experience supporting production
• 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

Project details

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

Contract to hire

Job Summary:

Data Engineer

We are

looking for a hands-on Lead Data Engineer with proven experience leading

engineers and driving technical delivery.

Key

• Lead
• Start: flexible
• Remote: hybrid
• Location: Charlotte, NC, US, US
• Rate: 75-85 EUR/h