Lead Data Engineer - SSP 25-26481

Overview

On Site
Depends on Experience
Contract - W2
No Travel Required

Skills

Reporting
SQL
Snow Flake Schema
Software Design
Systems Design
Testing
PostgreSQL
Medicaid
Microsoft Azure
Migration
Modeling
Operational Efficiency
Domain-driven Design
Data Lake
Data Modeling
Data Processing
Leadership
Provisioning
Data Warehouse
Decision-making
Emerging Technologies
Health Care
Java
Cloud Computing
Relational Databases
Data Architecture
Data Engineering
Data Integration
Amazon Web Services
Analytical Skill
Analytics
Application Development
Collaboration
Python
Regulatory Compliance

Job Details

Job Title: Lead Data Engineer
Location: Columbia, SC
Duration: 12 Months

Project Overview: The Data Operations Hub (DOH) functions as a centralized platform responsible for the ingestion, validation, transformation, security, and provisioning of enterprise data. It supports analytics, reporting, operational efficiency, and regulatory compliance.

Daily Duties & Responsibilities: As a System Software Programmer - Consultant, you will be a core member of the Data Operations Hub Team. This position focuses on designing and implementing analytical data solutions that align with the organization s strategic objectives. The ideal candidate will have strong skills in data architecture, modeling, integration, and migration. You will work closely with cross-functional teams to execute modern, scalable data solutions.

Key Responsibilities:

  • Represent the Data Operations Hub team in cross-functional forums, offering guidance on data solutions.

  • Design and maintain scalable data architectures, including data lakes and data warehouses.

  • Collaborate with stakeholders to ensure solutions meet business requirements and support data-driven decision-making.

  • Evaluate and recommend emerging technologies for adoption.

  • Develop architectural models and related artifacts using tools like Sparx or equivalent.

  • Act as a subject matter expert in data-related domains.

  • Utilize modern data processing tools (e.g., Python, Java, Airflow) in a data mesh or data lake environment.

  • Participate in hands-on coding, testing, and deployment of production-grade data solutions.

  • Enhance system performance and resolve technical inefficiencies.

  • Create reusable data frameworks and adopt cutting-edge technologies.

Required Skills:

  • 3+ years in a Data Engineer or similar role, with leadership in solving complex technical challenges.

  • 3+ years hands-on experience with system design, Python application development, and system stability.

  • 3+ years experience in architecture and proficiency in Python and Java.

  • 2+ years experience in data modeling, data integration, and domain-driven design using cloud data services.

  • 2+ years experience with AWS or Azure cloud services and related data engineering tools.

  • 3+ years experience working with SQL, cloud-native relational databases, and data warehouse solutions (e.g., Snowflake, Athena, Postgres).

Preferred Skills:

  • AWS or Azure certification (Cloud Practitioner or Developer).

  • Experience working in a Medicaid or healthcare-related environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.