Manager, Data Engineering

Remote, United States

Interwell Health

Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare. Learn more online today.

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Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us!

As the Data Engineering Manager, you'll spearhead the development and optimization of data pipelines and workflows, ensuring seamless integration across the organization's data infrastructure. You'll harness the power of Azure MI, Databricks, and OneLake to implement and scale innovative data solutions for big data processing, machine learning, and real-time analytics.

In this pivotal role, you'll optimize our data lake infrastructure, ensuring it is secure, efficient, and compliant with our high standards. You'll also lead a talented team of engineers, collaborate with cross-functional teams, and drive the strategic direction of our data architecture to empower business insights and decision-making.

If you're passionate about data and ready to make a significant impact, we want to hear from you!

The work you will do:   

Team Leadership & Management:

  • Lead and mentor a team of data engineers to deliver high-quality, scalable data solutions.
  •  Foster collaboration among data engineers, data scientists, and other stakeholders.
  • Set clear goals and KPIs for team performance and project milestones.

Strategic Planning & Execution:

  • Oversee the design, implementation, and optimization of data pipelines and ETL processes.

Data Architecture & Infrastructure:

  • Design and architect large-scale data systems that leverage ADF, Databricks and OneLake.
  • Ensure seamless data ingestion, transformation, and storage across various platforms.

Data Quality & Monitoring:

  • Implement monitoring and alerting systems to ensure data pipeline reliability and health.
  • Establish and enforce data quality standards across all data pipelines.
  • Ensure data consistency, accuracy, and timeliness for downstream consumption.

Project Management & Delivery:

  • Oversee the delivery of data engineering projects on time and within scope.
  • Manage resources, timelines, and risks for multiple data engineering initiatives.
  • Ensure effective documentation of data engineering processes and architecture.

Data Governance:

  • Implement and enforce data governance frameworks, including data lineage and auditing.

What you'll need:

  • 3-5 years related experience in data engineering with bachelor’s degree; or a master’s degree with 3 years’ experience. 
  • Ability to architect simple and complex solutions related to integration with other applications and design.
  • Excellent communication skills, both verbal and written.
  • Strong presentation skills. Ability to present formally to users and customers during gathering requirements, workshops, and feedback sessions.
  • Experience working under tight deadlines while maintaining high product relevance and quality.
  • Azure/SQL focus
  • Strong understanding of data lake and Lakehouse architecture principles, data modeling techniques, and data warehousing concepts.
  • 3-5 years’ experience using Azure Data Factory pipelines and Databricks.
  • 5 years’ experience working with Azure databases.
  • Extensive experience with MS SQL stack. (SSIS and ADF)
  • Extensive experience with Azure - Cloud migration.
  • Python experience. 

 

Our mission is to reinvent healthcare to help patients live their best lives, and we proudly live our mission-driven values: 

- We care deeply about the people we serve. 
- We are better when we work together. 
- Humility is a source of our strength.  
- We bring joy to our work.
- We deliver on our promises. 

We are committed to diversity, equity, and inclusion throughout our recruiting practices. Everyone is welcome and included. We value our differences and learn from each other. Our team members come in all shapes, colors, and sizes. No matter how you identify your lifestyle, creed, or fandom, we value everyone's unique journey.  

Oh, and one more thing … a recent study shows that men apply for a job or promotion when they meet only 60% of the qualifications, but women and other marginalized groups apply only if they meet 100% of them. So, if you think you’d be a great fit, but don’t necessarily meet every single requirement on one of our job openings, please still apply. We’d love to consider your application!   

Come join us and help our patients live their best lives. Learn more at www.interwellhealth.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure Big Data Databricks Data governance Data pipelines Data quality Data Warehousing Engineering ETL KPIs Machine Learning MS SQL Pipelines Python SQL SSIS

Regions: Remote/Anywhere North America
Country: United States

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