Data Engineer

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

Overview

The Data Engineer supports the design, development, and maintenance of data pipelines and data platforms. This role focuses on learning and contributing to building scalable data solutions.

Key Responsibilities

• Assist in building and maintaining data pipelines for ingesting, transforming, and loading data
• Support ETL/ELT processes for structured and unstructured data sources
• Work with engineers to troubleshoot and improve pipeline performance

• Write and optimize SQL queries for data extraction and transformation
• Perform data cleansing, validation, and basic transformations
• Support development of reusable data components and scripts

• Assist in managing and monitoring data workflows in cloud environments (AWS, Cloudera, etc.)
• Support execution and scheduling of batch and real-time data jobs
• Help maintain development, test, and production environments

• Perform basic data validation and quality checks
• Document data flows, pipelines, and transformations
• Support adherence to data governance and security standards

• Work with cross-functional teams (engineering, analytics, product) to understand data requirements
• Participate in code reviews, team discussions, and agile ceremonies
• Continuously learn new tools, technologies, and best practices in data engineering

Required Qualifications

• Master’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
• 0–2 years of experience in data engineering, software engineering, or related roles
• Basic programming knowledge in Python and/or SQL
• Understanding of data structures, databases, and ETL concepts
• Familiarity with cloud platforms or willingness to learn

What you should expect in this role

• United States remote opportunity
• Video cameras must be used during all interviews, as well as during the initial week of orientation
• The Deadline to submit applications for this posting is June 24, 2026

#LI-GD1

#LI-REMOTE

The pay range for this position is $58,200.00 - $83,200.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.

We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.

Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.