Data Engineer II

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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 data pipelines (ETL/ELT) to support ingestion, transformation, and delivery of high-volume healthcare data. • Write, optimize, and maintain complex SQL queries for data transformation, validation, and performance tuning. • Develop and manage workflow orchestration using Apache Airflow, including DAG creation, monitoring, and troubleshooting. • Enhance and scale data platform capabilities to support analytics, product features, and AI/ML use cases. • Build and maintain data quality frameworks, including automated data profiling, validation, and testing processes. • Monitor and optimize pipeline performance, reliability, and efficiency in production environments. • Analyze complex data issues, identify root causes, and implement scalable solutions, clearly communicating findings to both technical and non-technical stakeholders. • Collaborate with cross-functional teams (Data Operations, Product, Analytics, Data Science) to gather requirements and deliver high-quality data solutions. • Partner with clinical and analytics teams to operationalize data-driven insights and reporting solutions. • Contribute to documentation of data pipelines, data models, and engineering processes to support maintainability and knowledge sharing.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • 3+ years of professional experience in data engineering or a related field. • Strong proficiency in SQL, including complex querying, data transformation, and performance optimization. • Proficiency in Python for data processing, automation, and integration tasks. • Experience designing and building data pipelines (ETL/ELT) to support data ingestion, transformation, and delivery. • Hands-on experience with modern data warehousing platforms, such as Snowflake, PostgreSQL, Amazon Redshift, or Microsoft SQL Server. • Experience with workflow orchestration tools, particularly Apache Airflow (DAG development, debugging, and maintenance). • Experience using dbt (data build tool) to develop, test, and manage modular data transformation workflows. • Experience working with cloud platforms, particularly AWS (e.g., S3, RDS, Lambda, Glue, DMS). • Experience with version control systems and collaborative development workflows, such as GitHub or Bitbucket. • Familiarity with CI/CD practices and tools, such as Jenkins or GitHub Actions. • Experience supporting data quality initiatives, including data profiling, validation, or monitoring frameworks. • Familiarity with data modeling and data warehousing concepts, including dimensional modeling. • Exposure to analytics, reporting, or data visualization tools (e.g., Tableau, Looker) is a plus. • Experience working with healthcare data, including claims or clinical datasets, is a plus. • Familiarity with data science or machine learning workflows from a data engineering perspective is a plus.

🏖️ Benefits

• 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 • 6 Weeks Parental Leave • Invest in You - 30-60-90 day plans and frequent training • Culture of Recognition - peer-to-peer bonuses & team celebrations