Data Integration Engineer I

re-zoo-me; Northern (KY); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Remote-first policy

Flexible PTO

Full medical/dental/vision

Dependent coverage

Life and disability insurance

401(k) with 4% match

Parental leave (6 weeks)

Structured onboarding

Peer recognition program

Team celebrations

Job summary

mPulse, a healthcare technology company, is seeking a DATA INTEGRATION ENGINEER I to support the development and maintenance of data pipelines for analytics and AI. You will ensure accurate data ingestion, processing, and delivery across teams, enabling high-quality healthcare data usage.

Ideal candidates are early in their data engineering careers with a solid foundation in SQL and Python, ETL/ELT concepts, and a passion for data quality.

Qualifications

• Bachelor's degree or equivalent experience.
• Proficiency in SQL and relational databases.
• Experience with Python scripting or automation.
• Understanding of ETL/ELT concepts and data pipeline fundamentals.
• Strong analytical and problem-solving abilities.
• Effective written and verbal communication skills.

Responsibilities

• Monitor production data pipelines daily to ensure successful processing.
• Troubleshoot pipeline failures and data processing issues.
• Investigate data quality problems and anomalies.
• Validate data and test for accuracy and consistency.
• Analyze datasets to identify issues and prevent recurrence.
• Collaborate with implementation teams on client data formats and integration.
• Support data reconciliation during client onboarding.
• Write and optimize SQL transformations for analytics.
• Assist in development, testing, and maintenance of pipelines.
• Document data workflows and operational procedures.
• Participate in code reviews to improve quality.

Skills

SQL

Python

ETL/ELT

Analytical thinking

Communication

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Snowflake

Apache Airflow

Jenkins

GitHub Actions

Job description

Fully Remote Job

About Our Client:

mPulse operates in the healthcare technology industry, focusing on conversational AI and member engagement. The organization partners with innovative health plans across Medicare Advantage, Medicaid, and Commercial sectors to enhance member conversations that address care gaps, improve quality ratings, and promote better health outcomes. Its platform reaches tens of millions of Americans, emphasizing the importance of effective communication in advancing healthcare.

About the Opportunity:

The DATA INTEGRATION ENGINEER I will support the development and maintenance of healthcare data pipelines that enable analytics and AI functions. This role is essential for ensuring accurate data ingestion, processing, and delivery across teams, directly impacting the quality and usability of healthcare data within the organization. The position offers growth potential for professionals early in their data engineering careers.

Responsibilities:

• Monitor daily operation of production data pipelines to ensure successful processing
• Troubleshoot and resolve pipeline failures and data processing issues
• Investigate and address data quality problems and anomalies
• Perform data validation and testing for accuracy and consistency
• Analyze datasets to identify and prevent data issues
• Collaborate with implementation teams on client data formats and integration
• Support data reconciliation during client onboarding
• Write and optimize SQL queries for transformations and analysis
• Assist in development, testing, and maintenance of data integration pipelines
• Document data workflows, pipeline behavior, and operational procedures
• Participate in code reviews to improve quality and practices

Requirements:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience
• Proficiency in SQL and experience with relational databases
• Experience with scripting or automation using Python or similar language
• Understanding of ETL/ELT concepts and data pipeline fundamentals
• Strong analytical and problem-solving abilities
• Effective written and verbal communication skills

Preferred Qualifications

• Experience with healthcare data such as Medicare, Medicaid, or medical claims
• Familiarity with healthcare code sets like ICD, CPT, or HCPCS
• Exposure to modern data platforms such as Snowflake or Apache Airflow
• Familiarity with CI/CD tools like Jenkins or GitHub Actions
• Knowledge of data warehousing concepts and dimensional modeling

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

• Remote-first and flexible PTO arrangements
• 100% company-paid employee coverage including medical, dental, and vision plans
• Company contributions toward dependent coverage
• Company-paid life and disability insurance
• 401(k) plan with 4% company match and financial advisory support
• Six weeks of parental leave
• Structured onboarding and ongoing training programs
• Peer recognition programs and team celebrations

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.