Manager, Data Engineering

InterWell Health; United States; On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player in kidney care management is seeking a Data Engineering Manager to lead the development of innovative data solutions. In this role, you will optimize data pipelines and workflows, ensuring seamless integration of data across the organization. You will harness the power of advanced tools like Azure MI and Databricks to drive big data processing and real-time analytics. Collaborating with cross-functional teams, you will mentor a talented group of engineers while fostering a culture of excellence and innovation. If you are passionate about data and want to make a meaningful impact on healthcare, this is the opportunity for you.

Qualifications

• 3-5 years of experience in data engineering with a Bachelor's or Master's degree.
• Strong understanding of data lake architecture and data warehousing concepts.

Responsibilities

• Lead a team of data engineers to deliver scalable data solutions.
• Oversee design and optimization of data pipelines and ETL processes.
• Implement data governance frameworks and ensure data quality.

Skills

Data Engineering

Azure Data Factory

Databricks

Data Lake Architecture

Data Modeling

Project Management

Communication Skills

Problem Solving

Education

Bachelor's Degree in a related field

Master's Degree in a related field

Tools

Azure MI

OneLake

MS SQL Stack (SSIS, ADF)

Job description

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:

• 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.
• 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.
• 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.

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.