Data Engineer II

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data 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 pipelines for high-volume healthcare data • Write, optimize, and maintain complex SQL queries for transformation, validation, and performance tuning • Develop and manage Apache Airflow workflows, including DAG creation, monitoring, and troubleshooting • Enhance and scale data platform capabilities for analytics, product features, and AI/ML use cases • Build and maintain data quality frameworks with automated profiling, validation, and testing • Monitor and optimize pipeline performance, reliability, and efficiency in production • Analyze complex data issues, identify root causes, and implement scalable solutions • Communicate findings to technical and non-technical stakeholders • Collaborate with Data Operations, Product, Analytics, and Data Science teams • Partner with clinical and analytics teams to operationalize data-driven insights and reporting solutions • Document data pipelines, data models, and engineering processes

🎯 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) • 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 • Experience using dbt to develop, test, and manage modular data transformation workflows • Experience with cloud platforms, particularly AWS, including S3, RDS, Lambda, Glue, and 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 • Familiarity with data modeling and data warehousing concepts, including dimensional modeling • Strong analytical and problem-solving skills • Strong written and verbal communication skills • Ability to collaborate effectively in cross-functional environments • Strong attention to detail and commitment to data accuracy, consistency, and quality • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment • Ability to stand and sit for extended periods of time • Ability to lift 50 lbs. weight

🏖️ Benefits

• No benefits, perks, or compensation extras are specified in the posting