Note: The job is a remote job and is open to candidates in USA. mPulse is a healthcare technology company specializing in conversational AI and member engagement. The Data Integration Engineer I will support, troubleshoot, validate, and improve healthcare data pipelines while collaborating with engineering, analytics, and implementation teams to ensure accurate data integration for analytics and AI platforms.
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
- • 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
- • 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
Benefits
- Remote-friendly environment
- Opportunities for professional growth and skill development
- Comprehensive healthcare coverage
- Remote-First & Flexible PTO — work from wherever you're most productive
- 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
- 30-60-90 day plans and frequent training
- Peer-to-peer bonuses and team celebrations
Company Overview
Company H1B Sponsorship