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Monogram Health · 1 day ago

Data Platform Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

Monogram Health is a leading multispecialty provider of in-home, evidence-based care for complex patients with multiple chronic conditions. They are seeking a highly skilled Data Platform Engineer to design, build, and maintain scalable data infrastructure and tools to support data analytics and business intelligence initiatives, collaborating with cross-functional teams to enhance data-driven decision-making.

Health CareHospitalWellness

Responsibilities

Design and implement robust, scalable, and efficient data models and pipelines across cloud-based platforms

Develop, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks

Build and orchestrate Databricks Notebooks and Jobs using PySpark, Spark SQL, or Scala Spark

Develop and manage data models, data warehousing solutions, and data integration architectures in Azure

Implement Azure Functions, Azure WebApps, and Application Insights to support microservices and monitor distributed systems

Configure and manage Databricks clusters, including autoscaling, Photon acceleration, and job orchestration

Collaborate with cross-functional teams to support data-driven decision-making and analytics use cases

Ensure data quality, governance, and security across the data lifecycle

Collaborate with product managers by estimating technical tasks and deliverables

Uphold the mission and values of Monogram Health in all aspects of your role and activities

Qualification

Data EngineeringCloud Data PlatformsPythonSQLAzure Cloud InfrastructureApache KafkaSparkData ModelingETL/ELT PipelinesDevOps PracticesProblem-solvingTeam playerCommunication Skills

Required

A bachelor's degree in computer science, data science, software engineering or related field

Minimum of five (5) years in designing and hands-on development in cloud-based analytics solutions, which includes a minimum of three (3) years' hands on work with big data frameworks and tools, such as Apache Kafka and Spark

Expert level knowledge of Python or other scripting languages required

Proficiency in SQL and other data query languages

Understanding of data modeling and schema design principles

Ability to work with large datasets and perform data analysis

Thorough understanding of Azure Cloud Infrastructure offerings

Demonstrated problem-solving and troubleshooting skills

Team player with demonstrated written and communication skills

Preferred

Designing and building data integration pipelines using API's and Streaming ingestion methods is desirable

Familiarity with DevOps practices, including automation, CI/CD, and infrastructure as code (IaC)

Benefits

Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts

Financial & Retirement Support – Competitive compensation, 401k with employer match, and financial wellness resources

Time Off & Leave – Paid holidays, flexible vacation time/PSSL, and paid parental leave

Wellness & Growth – Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts