Data Integration Engineer II

🔥 11 minutes 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

• Design, develop, and maintain scalable ETL/ELT data integration pipelines • Support end-to-end data pipeline components for ingestion, validation, transformation, cleansing, and curated data layer development • Monitor, maintain, and optimize production data pipelines and scheduled workflows • Create and maintain technical documentation for pipelines, workflows, and data models • Develop tools and frameworks for automated data profiling, data quality monitoring, and unit testing • Collaborate with implementation teams to investigate and resolve data anomalies during onboarding and integration • Partner with product engineering teams to ensure accurate data capture and alignment with application specifications and business requirements • Support analytics and customer success teams with troubleshooting, reporting needs, and client data inquiries

🎯 Requirements

• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience • Minimum of 3 years of professional experience in data engineering, data integration, or a related role • Strong proficiency in SQL, including complex querying, data transformation, and query performance optimization • Experience with cloud-based data platforms and services, particularly AWS (e.g., S3, Secrets Manager/Vault, DMS, or similar services) • Hands-on experience with modern data warehousing platforms such as Snowflake, PostgreSQL, Amazon Redshift, or Microsoft SQL Server • Experience developing, debugging, and maintaining Apache Airflow workflow orchestration pipelines, including DAG development and operational support • Experience using dbt to develop, test, and manage modular SQL-based data transformation models • Experience with version control systems and collaborative development workflows using GitHub or Bitbucket • Proficiency in Python for data manipulation, automation, and integration tasks • Familiarity with CI/CD practices and automation tools such as Jenkins or GitHub Actions • Strong written and verbal communication skills • Preferred: experience supporting data quality monitoring, data observability, or automated validation frameworks • Preferred: familiarity with data science or machine learning workflows from a data engineering perspective • Preferred: experience working with healthcare-related datasets such as claims, clinical, or regulatory data

🏖️ Benefits

• Remote-First & Flexible PTO — work from wherever you're most productive • 100% company-paid employee-only medical, dental, and vision coverage • Company contributions toward dependent coverage • Company-paid life and disability insurance • 401(k) with 4% match • 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