Lead Data Engineer

Akaasa Technologies; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Akaasa Technologies in Charlotte, NC is seeking a Lead Data Engineer to design and build enterprise data solutions using Azure Databricks, PySpark, SQL and Delta Lake. You will lead a team of data engineers, modernize data platforms, and ensure data quality through scalable pipelines in a healthcare environment.

The role requires 5+ years in data warehousing and ETL/ELT, strong Python and Terraform skills, and excellent communication.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 3+ years of experience with Azure Databricks.
• 5+ years of experience in data warehouse analysis, design, and development.
• Strong knowledge of data warehouse methodologies, data modeling, and operational data stores.
• 5+ years of experience with ETL/ELT development.
• Strong hands-on experience with Python, PySpark, SQL, and Terraform.
• Experience designing and supporting enterprise-scale data pipelines.
• Ability to troubleshoot complex data issues and provide scalable solutions.
• Excellent technical, communication, and collaboration skills.

Responsibilities

• Design and develop enterprise data solutions using Azure Databricks, PySpark, SQL, and Delta Lake.
• Lead a team of data engineers and mentor junior members.
• Build scalable data pipelines and modernize data platforms.
• Ensure data quality and governance in healthcare environment.

Skills

Data warehousing

Data modeling

Team leadership

Communication

ETL/ELT development

Python

PySpark

SQL

Delta Lake

Education

Bachelor's degree

Tools

Azure Databricks

PySpark

Python

SQL

Delta Lake

ETL/ELT

Terraform

Power BI

MicroStrategy

Job description

Lead Data Engineer

Location: Charlotte, NC 28273 (100% Onsite 5 Days/Week)
Position Type: 6 month Contract-to-Hire
Interview: Virtual and final in-person

Key Skills:

Azure Databricks, Data Engineer, PySpark, Python, SQL, Delta Lake, ETL/ELT, Azure DevOps, Terraform, Power BI, MicroStrategy, Data Warehousing, Data Modeling.

Note:

• Must have strong hands‑on experience with the latest version of Azure Databricks.
• Strong communication skills required.
• Experience leading and mentoring a team of Data Engineers is required.
• Power BI and MicroStrategy experience highly preferred.
• Reporting platform will be primarily Power BI.

Position Overview:

Our client, a large healthcare organization, is seeking a Lead Data Engineer to join their growing team. The ideal candidate will have strong experience designing and developing enterprise data solutions using Azure Databricks, PySpark, SQL, and Delta Lake. This role will focus on building scalable data pipelines, modernizing data platforms, ensuring data quality, and leading a team of data engineers.

Required Skills & Experience:

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
• 3+ years of experience working with Azure Databricks.
• 5+ years of experience in data warehouse analysis, design, and development.
• Strong knowledge of data warehouse methodologies, data modeling, and operational data stores.
• 5+ years of experience with ETL/ELT development.
• Strong hands‑on experience with Python, PySpark, SQL, and Terraform.
• Experience designing and supporting enterprise‑scale data pipelines.
• Ability to troubleshoot complex data issues and provide scalable solutions.
• Excellent technical, communication, and collaboration skills.

Preferred Skills:

• Databricks Certified Data Engineer Associate or Professional certification preferred.
• Experience with Power BI and MicroStrategy reporting platforms.
• Experience with Unity Catalog, Azure security, and governance frameworks.
• Healthcare or regulated industry experience preferred.