Supervisor Data Engineering

Lets do great things together!

About Moda
Founded in Oregon in 1955 Moda is proud to be a company of real people committed to quality. Today like then were focused on building a better future for healthcare. That starts by offering outstanding coverage to our members compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Lets be better together.

Position Summary
The Data Engineering Supervisor leads a team of 5-7 engineers and architects while contributing directly to technical development. This role oversees enterprise data solutions including data warehousing ETL/ELT pipelines and analytics engineering processes. The supervisor drives the implementation of scalable data transformation frameworks to support business intelligence and advanced analytics. They ensure data quality governance and performance optimization while guiding the team in building robust automated solutions that enable data-driven decision-making across the organization.This is a FT WFH position.

Pay Range
$109420.90 - $150000.00 annually (depending on experience)
*This role may be classified as hourly (non-exempt) depending on the applicants location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.

Please fill out an application on our company page linked below to be considered for this position.

Dental Vision Pharmacy Life & Disability

Required Skills Experience & Education:

1. Proven leadership experience managing people and data-focused technical teams with the ability to guide diverse interdisciplinary teams with varying skill sets and experience levels.
2. 7 years of experience in data or analytics engineering with ETL/ELT pipeline design development and maintenance. Healthcare data experience is preferred.
3. 10 years of SQL experience across on-prem servers (SQL Server) and cloud data warehouses (Snowflake MS Fabric BigQuery Redshift). Experience migrating on-prem databases to cloud data warehouses strongly preferred.
4. Expertise in data architecture principles dimensional modeling and enterprise data integration strategies.
5. Experience with data pipeline orchestration tools such as SSIS SQL Agent Tidal Airflow and dbt.
6. Ability to collaboratively develop and implement analytics and reporting solutions. Experience supporting Power BI or other modern BI tools preferred.
7. Strong understanding of data modeling principles documentation and tools.
8. Ability to communicate complex analytical solutions to audiences with varying technical understanding.
9. Strong organizational skills to plan prioritize and meet departmental goals and timelines.
10. Ability to work effectively under pressure in a complex rapidly changing environment.
11. Ability to work independently with minimal supervision.

Primary Functions:

1. Oversee and coordinate data engineering and analytics engineering activities including the design development implementation and ongoing improvement and management of the Enterprise Data Warehouse (EDW).
2. Set clear objectives monitor progress and conduct regular performance reviews for the data engineering team.
3. Gather and translate business requirements into technical solutions by designing data models building transformation workflows and applying best practices for data architecture and governance.
4. Develop data models and pipelines while supervising the overall management of the EDW using diverse tools.
5. Collaborate with analytics and business teams providing technical guidance peer reviews and support for ad hoc data queries and reporting needs.
6. Lead hiring onboarding training coaching and performance management to build a high-performing team.
7. Ensure compliance with data governance security and quality standards.
8. Continuously optimize processes to support data-driven decision-making.
9. Perform other duties as assigned.

Working Conditions:

• Office environment with extensive close PC and keyboard use constant sitting and frequent phone communication. Must be able to navigate multiple computer screens. A reliable high-speed hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek including evenings and occasional weekends to meet business need.
• Internally with customers of the Data Science team. Externally with Data Science customers and vendors of technology and business solutions.

Together we can be more. We can be better.

Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race religion color age sex sexual orientation national origin marital status disability veteran status or any other status protected by law. This is applicable to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absences compensation and training.

For more information regarding accommodations please direct your questions to Kristy Nehler & Danielle Baker via email.