Manager, Data Engineering

Interwell Health; United States; On-site; USD 100,000 - 200,000; Full time

Job summary

Join a leading company as a Manager of Data Engineering, spearheading the development and optimization of data solutions. In this pivotal role, you'll lead a talented team and collaborate cross-functionally to drive strategic data initiatives leveraging modern technologies like Azure and Databricks. If you're passionate about leveraging data to impact business insights and decision-making, we want to hear from you!

Qualifications

• 3-5 years of related experience in data engineering.
• Experience with Azure databases and cloud migration.
• Strong understanding of ETL processes.

Responsibilities

• Lead and mentor a team of data engineers.
• Oversee design and optimization of data pipelines.
• Implement monitoring systems for data quality.

Skills

Data pipeline optimization

Data lake architecture

Integrating applications

Communication skills

Presentation skills

Education

Bachelor's degree in related field

Master's degree (preferred)

Tools

Azure Data Factory

Databricks

MS SQL Stack (with SSIS)

Job description

Join to apply for the Manager, Data Engineering role at Interwell Health

Join to apply for the Manager, Data Engineering role at Interwell Health

Get AI-powered advice on this job and more exclusive features.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Hospitals and Health Care

Referrals increase your chances of interviewing at Interwell Health by 2x

Get notified about new Data Manager jobs in United States.

United States $150,000.00-$200,000.00 2 days ago

United States $130,000.00-$150,000.00 1 day ago

United States $150,000.00-$175,000.00 2 weeks ago

Palo Alto, CA $111,100.00-$152,700.00 2 weeks ago

Charleston, SC $100,000.00-$130,000.00 1 month ago

United States $128,000.00-$196,000.00 3 days ago

Washington, DC $83,000.00-$112,000.00 2 months ago

United States $188,000.00-$256,000.00 1 week ago

Data Engineering Manager - Personalization Data

United States $360,000.00-$920,000.00 2 weeks ago

United States $200,000.00-$265,000.00 12 hours ago

Data Management Analyst, Junior (Future Need)

Arlington, VA $30,000.00-$40,000.00 3 weeks ago

United States $90,000.00-$100,000.00 20 hours ago

United States $110,000.00-$175,000.00 3 months ago

Sr. Data Manager / Sr. Clinical Data Reviewer

Clinical Data Manager - (Remote US and India)

Information Management Analyst, Data Enablement

Chicago, IL $90,000.00-$120,000.00 1 week ago

Business Intelligence and Data Analytics Manager

Irving, TX $170,000.00-$210,000.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.