Manhattan WMOS Engineer
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Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
Deschide
mPulse este o companie de tehnologie medicală care dezvoltă o platformă HXI (Health Experience and Insights) bazată pe inteligență artificială pentru planuri de sănătate, sisteme medicale și alte organizații din domeniul sănătății. Suita sa de produse combină analize predictive, comunicații, interacțiune omnicanal, portaluri de sănătate, gestionarea conținutului și instrumente pentru atragerea utilizatorilor și plăți, ajutând organizațiile să personalizeze comunicarea, să îmbunătățească implicarea membrilor, să reducă lacunele în îngrijire și să susțină performanța de reglementare. mPulse deservește organizații din domeniile Medicare, Medicaid, asigurărilor comerciale, administratorilor terți ai planurilor (TPA), organizațiilor de îngrijire responsabilă (ACO), farmaciilor, științelor vieții și programelor de studii clinice, oferind capabilități precum direcționarea precisă, comunicări pentru gestionarea utilizării, portaluri moderne pentru membri și suport pentru rezultatele CAHPS și HOS.
Data Engineer II at mPulse (Remote, United States)
Join mPulse as a Data Engineer II building reliable healthcare data systems. Your work will support analytics, product development, and AI/ML initiatives using SQL, Python, dbt, and Airflow.
Descriere
- Build and maintain scalable ETL and ELT pipelines for high-volume healthcare data
- Create and optimize advanced SQL for data transformation, validation, and performance
- Develop, monitor, and troubleshoot Apache Airflow workflows and DAGs
- Expand data platform capabilities for analytics, product functionality, and AI/ML applications
- Create automated frameworks for data profiling, validation, and quality testing
- Improve the performance, reliability, and operational efficiency of production pipelines
- Investigate complex data problems, determine root causes, and deliver scalable fixes
- Present technical findings clearly to both technical and non-technical audiences
- Work closely with Data Operations, Product, Analytics, and Data Science teams
- Collaborate with clinical and analytics partners to turn insights into operational reporting solutions
- Maintain clear documentation for pipelines, data models, and engineering practices
Cerințe
- Bachelor’s or master’s degree in computer science, engineering, or a related technical discipline, or equivalent practical experience
- At least three years of professional experience in data engineering or a comparable field
- Advanced SQL skills, including complex queries, data transformation, and performance tuning
- Proficiency in Python for data processing, automation, and system integration
- Practical experience architecting and implementing ETL or ELT pipelines
- Experience with modern data warehouses such as Snowflake, PostgreSQL, Amazon Redshift, or Microsoft SQL Server
- Hands-on experience with workflow orchestration tools, especially Apache Airflow
- Experience developing, testing, and maintaining modular transformations with dbt
- Experience with AWS services including S3, RDS, Lambda, Glue, and DMS
- Experience with version control and collaborative development using platforms such as GitHub or Bitbucket
- Familiarity with CI/CD processes and tools such as Jenkins or GitHub Actions
- Experience contributing to data quality programs
- Understanding of data modeling and warehousing principles, including dimensional modeling
- Strong analytical thinking and problem-solving ability
- Clear written and verbal communication skills
- Ability to work effectively with cross-functional teams
- Careful attention to data accuracy, consistency, and overall quality
- Ability to balance competing priorities while producing high-quality work in a fast-moving environment
- Capacity to sit and stand for extended periods
- Ability to lift 50 pounds
Beneficii
- The posting does not specify benefits, perks, or additional compensation.
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