Data Integration Engineer I

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

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mPulse

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 Series unknown on 2022-02

Healthcare • SaaS • B2B

mPulse is a health experience and insights company that provides an AI-powered Health Experience and Insights (HXI) platform and a suite of products—predictive analytics, core communications, omnichannel engagement, health portals, content management, and acquisition & payments—to help health plans, health systems, and other healthcare organizations improve member engagement, close care gaps, and meet regulatory requirements. Their platform delivers personalized, data-driven outreach and automation at scale to support Medicare, Medicaid, commercial plans, TPAs, ACOs, pharmacies, and life sciences/clinical trials. mPulse emphasizes modernizing member portals, utilization management communications, CAHPS/HOS performance, and precision targeting to drive clinical and financial outcomes for clients (used by 400+ healthcare organizations per their materials).

📋 Description

• Monitor and support the daily operation of production data pipelines • 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 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 • 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 for data transformations, validation, and analysis • Assist in developing, testing, and maintaining 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 • Work across the current and target data platform environments and contribute to the migration

🎯 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 • 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 • Meaningful work with direct impact on healthcare outcomes