Senior Data Engineer

Project overview

Job Title: Sr. 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

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 Detail

Senior

Data Engineer

We are also

looking for a strong hands-on Senior Data Engineer to join the same

team.

Key

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