Data Analytics Engineer III

Posted Yesterday
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Hiring Remotely in Home, Klouékanmè, Kouffo, BEN
Remote
83K-114K Annually
Senior level
Healthtech
The Role
Design, build, and maintain scalable data pipelines, data marts, lakes, and warehouses. Optimize ETL/ELT processes, implement lakehouse architectures, support data ingestion, perform testing and troubleshooting, mentor junior engineers, and collaborate with stakeholders to enable analytics and data-driven decisions.
Summary Generated by Built In

Work From Home

Work From Home Work From Home, Indiana 46544

The Data Analytics Engineer 3 is responsible for designing and creating tables within data marts, data lakes and data warehouse and all related extraction, transformation and load of data functions. Work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for analytics developers and business analysts to interpret. Their goal is to make data accessible so that organizations can use it to evaluate and optimize their performance. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Data engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Takes direction and guidance from lead data engineers and department leadership to work towards enhancement of self and the team's capabilities around data and analytic competencies. Mentors junior data engineers and guides users across the organization to promote data education and a data-driven culture in all aspects of clinical and business operation

WHO WE ARE
With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve

EXPERIENCE WE ARE LOOKING FOR

  • Deep understanding of modern data architectures, including lakehouse design patterns and scalable data processing approaches

  • Hands-on experience with Azure data platforms, including ADLS, Azure Data Factory (ADF), Databricks, and related lakehouse technologies

  • Strong experience designing and implementing metadata-driven, scalable data pipelines

  • Proficiency in Python and PySpark for building data pipelines, transformations, and distributed processing workloads

  • Experience integrating data across systems using APIs and other modern data connectivity patterns

  • Proficiency with DevOps and DataOps practices, including CI/CD for data pipelines and cloud infrastructure

  • Advanced SQL skills with experience managing and optimizing relational data platforms

  • Familiarity with Microsoft Fabric is a plus

  • Experience with healthcare data platforms such as Epic Cogito is a plus


WHAT YOU CAN EXPECT

  • Consultation: Work with data and analytics experts to strive for greater functionality in our data systems. Consults with data systems management teams to get a big-picture idea of the data needs.

  • Data Pipelines: Under the guidance of leadership, designs, implements and continuously expands data pipelines by performing extraction, transformation and loading activities. Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Gathers Knowledge: Gathers requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users.

  • Storage Needs: Presents data lakes, marts and warehousing options based on storage needs.

  • Data Architecture: Ensures that the data architecture is scalable and maintainable

  • Potential Issues: Investigates data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions.

  • Testing: Conducts preliminary testing of the warehousing and database environment before data is extracted.

  • Extracts Data: Extracts data and transfers it into the warehousing environment, other databases or to files.

  • Testing: Tests the new system once all the data has been transferred.

  • Maintenance: Provides maintenance and support. Maintain proper documentation and code commenting practices. Performs other duties as assigned.

QUALIFICATIONS

  • Required Bachelor's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field

  • Preferred Master's Degree Computer Science, Business, Healthcare Management, Information Systems, or related field

  • 5 years Building data pipelines, using ETL technologies such as SSIS or Informatica Required

  • 3 years SQL development with SQL Server/Oracle environment Required

  • 2 years Cloud data platforms and associated tools such as MS Azure, AWS, or GCP Required

    TRAVEL IS REQUIRED:

    Never or RarelyJOB RANGE:Data Analytics Engineer $82,931.74 - $114,031.14INCENTIVE:

    EQUAL OPPORTUNITY EMPLOYER

    It is the policy of Franciscan Alliance to provide equal employment to its employees and qualified applicants for employment as otherwise required by an applicable local, state or Federal law.

    Franciscan Alliance reserves a Right of Conscience objection in the event local, state or Federal ordinances that violate its values and the free exercise of its religious rights.

    Franciscan Alliance is committed to equal employment opportunity.

    Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org

    Skills Required

    • Bachelor's Degree in Business, Computer Science, Engineering, Information Systems, Public Health, or related field
    • Preferred Master's Degree in Computer Science, Business, Healthcare Management, Information Systems, or related field
    • 5 years building data pipelines using ETL technologies such as SSIS or Informatica
    • 3 years SQL development with SQL Server/Oracle environment
    • 2 years cloud data platforms and associated tools such as MS Azure, AWS, or GCP
    • Hands-on experience with Azure data platforms including ADLS, Azure Data Factory (ADF), and Databricks
    • Proficiency in Python and PySpark for building data pipelines and distributed processing
    • Advanced SQL skills and experience optimizing relational data platforms
    • Strong experience designing and implementing metadata-driven, scalable data pipelines
    • Experience integrating data across systems using APIs and modern connectivity patterns
    • Proficiency with DevOps and DataOps practices, including CI/CD for data pipelines and cloud infrastructure
    • Familiarity with Microsoft Fabric
    • Experience with healthcare data platforms such as Epic Cogito

    Franciscan Health Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Franciscan Health and has not been reviewed or approved by Franciscan Health.

    • Healthcare Strength Benefits include medical, dental, and vision with broad network options, plus added savings when using system hospitals, labs, imaging, pharmacies, and physicians. Feedback suggests health coverage is solid, though not best-in-class.
    • Retirement Support An employer-funded retirement contribution is available alongside 403(b) and 457(b) options with defined eligibility and vesting. Feedback suggests this structure supports long-term savings across many roles.
    • Leave & Time Off Breadth PTO accrues with service and certain provider roles cite robust allotted time off and CME. Feedback suggests the presence of EAP and additional programs adds breadth to time-away support.

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    The Company
    Crawfordsville, , Indiana
    4,462 Employees
    Year Founded: 1875

    What We Do

    The Franciscan Alliance healthcare ministry began in Lafayette, Ind., in 1875. Today, Franciscan Alliance is one of the largest Catholic health care systems in the Midwest with 12 hospital campuses in Indiana and Illinois, approximately 20,000 employees and a number of nationally recognized Centers of Health Care Excellence. Hospitals include: Franciscan Health Crown Point, Franciscan Health Michigan City, Franciscan Health Crawfordsville, Franciscan Health Lafayette East, Franciscan Health Indianapolis, Franciscan Health Carmel, Franciscan Health Rensselaer, Franciscan Health Mooresville, Franciscan Health Hammond, Franciscan Health Dyer, Franciscan Health Munster and Franciscan Beacon Hospital in Indiana; and Franciscan Health Olympia Fields in Illinois. For more information, visit FranciscanHealth.org. With more than 850 primary and specialty care providers at over 260 locations in Indiana and Illinois, Franciscan Physician Network is one of the largest and most respected multi-specialty physician networks in the Midwest providing convenient, comprehensive care

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