Data Integration Engineer I

mPulse Mobile

21h • $80,000 - $100,000 • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Remote-First & Flexible PTO
• 100% Company-Paid Employee Coverage - Medical, dental, and vision plans with a 100% company-paid employee-only option, plus company contributions toward dependent coverage and company-paid life and disability insurance.
• 401(k) + 4% Match — with financial advisors to help you plan
• 6 Weeks Parental Leave
• Invest in You — 30-60-90 day plans and frequent training
• Culture of Recognition — peer-to-peer bonuses & team celebrations

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level