Lead Data Engineer

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

Job summary

Harvey Nash in Charlotte, NC seeks a hands-on Lead Data Engineer to lead a team of engineers and drive technical delivery. The role requires strong Python, PySpark, SQL, Databricks, and Azure cloud data platforms, with experience in enterprise-scale data solutions and data modeling.

This hybrid position offers two days on site per week with contract-to-hire potential. The interview will include live coding focused on PySpark and SQL, and the pay range is $75 to $85 per hour.

Qualifications

• 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 datapipeline 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.

Responsibilities

• Lead engineers and drive technical delivery in a hands-on capacity.
• Mentor engineers, conduct code reviews and provide technical direction.
• Design and implement enterprise-scale data solutions using PySpark, SQL and Databricks.
• Engage with Azure/cloud data platforms and data pipelines in production environments.
• Prepare for a technical interview with live coding focused on PySpark and SQL.

Skills

Python

PySpark

SQL

Databricks

Azure

Cloud data platforms

Team leadership

Data architecture

Data lakes

ETL/ELT

Data modeling

Performance tuning

CI/CD

Production pipelines

Mentoring

Code reviews

Technical direction

Kafka

Kinesis

Regulated environments

Tools

Databricks

Job description

Job Title: Lead Data Engineer

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

Contract to hire

Job Summary:

1. LeadData Engineer

We arelooking for a hands-on Lead Data Engineer with proven experience leadingengineers and driving technical delivery.

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

This is notsimply a “Lead” title role. The team is specifically looking for someone whohas real experience leading engineers/projects while remaining technicallyhands-on.

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.

* 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