Data Integration Engineer I

Mpulse Mobile, Inc; Northern (KY); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Remote-friendly environment

Comprehensive healthcare coverage

Opportunities for professional growth

Job summary

Mpulse Mobile, Inc. is seeking a curious and detail-oriented Data Engineer to join our Data Operations team. You will help build, operate, and improve healthcare data pipelines powering analytics and AI platforms.

You will collaborate with engineers, analysts, and implementation teams to ensure data is ingested, processed, and delivered accurately across the organization. This role is ideal for someone early in their data engineering career who enjoys complex real-world data and wants to grow in

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical field.
• Proficiency in SQL and relational databases; ability to write data analysis/transformation queries.
• Experience with Python or similar scripting languages for data processing or integration tasks.
• Familiarity with ETL/ELT concepts and data pipeline fundamentals.
• Strong analytical and problem-solving skills; able to investigate data issues and root causes.
• Strong written and verbal communication skills; able to explain technical concepts to diverse stakeholders.

Responsibilities

• Monitor and support the daily operation of production data pipelines to ensure successful data processing and workflow execution.
• Troubleshoot pipeline failures and assist in resolving data processing issues, escalating complex problems when necessary.
• Investigate and help resolve data quality issues, anomalies, and discrepancies, particularly within healthcare datasets.
• Perform data validation and testing to ensure accuracy, completeness, and consistency of integrated data.
• Analyze datasets to identify patterns, irregularities, and potential data issues, supporting proactive data quality improvements.
• Collaborate with implementation teams to understand client data formats and integration requirements.
• Assist with data reconciliation and validation during client onboarding and integration processes.
• Write and optimize SQL queries to support data transformations, validation, and analysis tasks.
• Assist in the development, testing, and maintenance of data integration pipelines.
• Create and maintain documentation for data workflows, pipeline behavior, and operational procedures.
• Participate in code reviews and incorporate feedback to improve code quality and development practices.

Skills

SQL

Python

Data pipelines

ETL/ELT

Data validation

Analytical skills

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

Tools

Snowflake

Apache Airflow

SQL Server

GitHub Actions

Job description

Job Summary

We are seeking a curious and detail-oriented Data Engineer to join our Data Operations team. In this role, you will help build, operate, and improve the healthcare data pipelines that power our analytics and AI platforms. You will collaborate with engineers, analysts, and implementation teams to ensure data is accurately ingested, processed, and delivered across the organization.

This is an ideal opportunity for someone early in their data engineering career who enjoys working with complex real-world data and is eager to grow their skills in modern data platforms within a healthcare technology environment.

Duties & Responsibilities

• Monitor and support the daily operation of production data pipelines to ensure successful data processing and workflow execution.
• Troubleshoot pipeline failures and assist in resolving data processing issues, escalating complex problems when necessary.
• Investigate and help resolve data quality issues, anomalies, and discrepancies, particularly within healthcare datasets.
• Perform data validation and testing to ensure accuracy, completeness, and consistency of integrated data.
• Analyze datasets to identify patterns, irregularities, and potential data issues, supporting proactive data quality improvements.
• Collaborate with implementation teams to understand client data formats and integration requirements.
• Assist with data reconciliation and validation during client onboarding and integration processes.
• Write and optimize SQL queries to support data transformations, validation, and analysis tasks.
• Assist in the development, testing, and maintenance of data integration pipelines.
• Create and maintain documentation for data workflows, pipeline behavior, and operational procedures.
• Participate in code reviews and incorporate feedback to improve code quality and development practices.

Technology Stack

We are mid-migration to a modern data platform. You’ll work across both environments and contribute to the transition.

Current Environment

• SQL Server
• Python · PowerShell
• Jenkins

Target Platform

• Snowflake
• Astronomer / Apache Airflow
• Python-based pipelines

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
• Proficiency in SQL and experience working with relational databases, including writing queries for data analysis and transformation.
• Experience with scripting or automation using Python or a comparable programming language to support data processing or integration tasks.
• Familiarity with ETL/ELT concepts and data pipeline fundamentals, including data ingestion, transformation, and validation processes.
• Strong analytical and problem-solving skills, with the ability to investigate data issues and identify root causes.
• Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience working with healthcare data, including Medicare, Medicaid, or medical claims datasets.
• Familiarity with common healthcare code sets, such as ICD, CPT, or HCPCS.
• Exposure to modern data platforms and tools, such as Snowflake, Apache Airflow, or cloud-based data environments.
• Familiarity with CI/CD practices or tools, such as Jenkins or GitHub Actions.
• Understanding of data warehousing concepts, including dimensional modeling and analytics-oriented data structures.

Why Join Us

You will have the opportunity to work on modern data platforms and tools, collaborate with cross-functional teams, and help build reliable data systems that drive meaningful insights and business value.

• Meaningful work with direct impact on healthcare outcomes
• Remote-friendly environment
• Opportunities for professional growth and skill development
• Comprehensive healthcare coverage

*Please note, due to the requirements of this position, responses may automatically disqualify you from moving forward in the application process. Please review minimum qualifications thoroughly before applying.