Senior Data Engineer at Unite Us

Job description

Job Title: Senior Data Engineer Department: Product Development About the Role : The Senior Data Engineer designs, builds, and maintains scalable data architecture and infrastructure that supports Unite Us’ business objectives and the needs of both healthcare and social care clients. As part of a collaborative team of talented engineers, this role partners closely with Application Engineers, Product Managers, and cross-functional teams to deliver reliable, high-quality data solutions, including ETL pipelines and data warehouse integrations. This work is critical to collecting, processing, and delivering data to internal and external stakeholders, enabling informed investment decisions, quantifying the value and ROI of Unite Us networks, and supporting continued organizational growth across healthcare and social care domains. The Senior Data Engineer champions data integrity and accessibility, contributes to system architecture and technical best practices, and provides operational support through customer onboarding and on-call participation—helping establish Unite Us as a trusted leader across the healthcare and social care landscape while making a meaningful impact nationwide. What You'll Do : Design / implement a data architecture and infrastructure aligned with business objectives Collaborate with Application Engineers, Product Managers, and Solutions Architects to ensure data systems or technical infrastructure support client and product requirements Develop, create, and maintain ETL processes and data pipeline solutions for efficient loading of data into the data warehouse Test, monitor, and optimize data pipelines or ETL solutions to ensure reliability, performance, and scalability Collect and validate high-quality data Ensure data integrity and maintain strong data governance standards Champion data democratization and enable or facilitate accessibility to well-documented data for relevant stakeholders Guide the team or engineering teams on technical or data engineering best practices Contribute to system or platform architecture Support operational activities such as onboarding new customers to data products Participate in team on-call rotations Partner or engage with cross-functional teams, including Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services Address, resolve, or support data-related technical issues or requirement You’re a great fit for this role if : 6–8+ years of experience designing, building, and operating data warehouses, data lakes, and ETL/ELT pipelines in production environments Proven experience building, designing, or optimizing data pipelines using Snowflake Experience using data transformation tools like DBT Proven expertise architecting and optimizing batch and streaming data pipelines Advanced SQL knowledge, including complex query authoring and familiarity with relational databases such as Snowflake, Redshift, and Postgres Strong proficiency in Python for building, optimizing, and maintaining data pipelines and services Experience with orchestration frameworks such as Apache Airflow Exposure to or experience with AWS and cloud services such as S3, ECS, and RDS, including building cloud-native data platforms Experience with CI/CD pipelines for testing, deployment, and release (e.g., GitHub Actions, Jenkins) Experience with infrastructure and data tooling including Kubernetes, Terraform, and Docker Exposure to or experience with Kafka Experience developing or delivering data platforms or applications for large enterprise clients Background or previous engagement with healthcare and/or social determinants of health (SDOH) data products, including designing, building, or maintaining pipelines for healthcare claims and clinical data, with an understanding of data quality, scale, sensitivity, and compliance requirements in this space Experience designing high-performance, reliable systems, including exposure to operational best practices Exposure to or experience with data quality frameworks Experience supporting analytics, reporting, or data user tools (e.g., Tableau, Looker, ThoughtSpot, Sigma) Strong problem-solving and troubleshooting skills, with the ability to identify, investigate, and resolve complex data issues and system failures, and to lead technical investigations Strong communication skills and the ability to collaborate effectively with cross-functional and non-technical stakeholders BS/BA degree in Computer Science or equivalent experience. Our Mission: Unite Us’ mission is to unlock the potential of every community. Our co-founders started Unite Us in 2013 to serve the people they served with. They witnessed firsthand the barriers and inefficiencies in trying to navigate health and social services, and set out to improve that experience for veterans and their families. Unite Us quickly expanded to serving all people who need connections to care across our country. Through Unite Us’ national network and software, community-based organizations, government agencies, and healthcare organizations are all connected to better collaborate to meet the needs of the individuals in their communities. We drive the collaboration to predict, deliver, and pay for services that impact whole-person health. If you want to do well and do good, join Unite Us. Environmental Job Requirements and Working Conditions : This position is remote, U.S. based. The target pay range for this role is: $145,000-$170,000. This salary range represents our target hiring range for this role. The proposed salary will be dependent on the candidate's skills, experience, and competencies, as well as location. All team members will be required to pass a background check which includes criminal, employment, and education verification Benefits provided by Unite Us: Medical, Dental, and Vision We offer insurance to team members and eligible partners and dependents, including unlimited virtual mental health and acute medical visits. Wellness Mental health benefits, such as the Employee Assistance Program (EAP) and wellness platform subscription, are available to all team members. Flexible Time Off Take what you need, including volunteer days and mental health days. We also offer 14 paid, company-wide holidays. Paid Parental Leave Adoptive parents are included. Employee Resource Groups Join our ERGs to connect and engage with colleagues, like Military Veterans Spending Accounts We offer tax-advantaged health savings accounts (HSAs), flexible spending accounts (FSAs), and commuter benefits. 401(k) + Employer Match Enjoy matching, immediate vesting and financial wellness resources Additional Benefits Life and AD&D - a company paid benefit, with the option to purchase additional coverage for yourself and your dependents Disability Coverage Accident Insurance Pet Insurance As part of this work at home job, we will provide you with all the necessary equipment to perform your duties, including a computer, mouse, keyboard as well as other items on our approved list of WFH supplies. Unite Us is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. If you require assistance in applying for open positions due to a disability please email us at peopleops@uniteus.com to request an accommodation. #LI-Remote

Requirements

Must-haves

Job Title: Senior Data Engineer
Department: Product Development
Design / implement a data architecture and infrastructure aligned with business objectives
Collaborate with Application Engineers, Product Managers, and Solutions Architects to ensure data systems or technical infrastructure support client and product requirements
Develop, create, and maintain ETL processes and data pipeline solutions for efficient loading of data into the data warehouse
Test, monitor, and optimize data pipelines or ETL solutions to ensure reliability, performance, and scalability
Collect and validate high-quality data
Ensure data integrity and maintain strong data governance standards
Champion data democratization and enable or facilitate accessibility to well-documented data for relevant stakeholders
Guide the team or engineering teams on technical or data engineering best practices
Contribute to system or platform architecture
Support operational activities such as onboarding new customers to data products
Participate in team on-call rotations
Partner or engage with cross-functional teams, including Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services
Address, resolve, or support data-related technical issues or requirement
You’re a great fit for this role if :
6–8+ years of experience designing, building, and operating data warehouses, data lakes, and ETL/ELT pipelines in production environments
Proven experience building, designing, or optimizing data pipelines using Snowflake
Experience using data transformation tools like DBT
Proven expertise architecting and optimizing batch and streaming data pipelines
Advanced SQL knowledge, including complex query authoring and familiarity with relational databases such as Snowflake, Redshift, and Postgres
Strong proficiency in Python for building, optimizing, and maintaining data pipelines and services
Experience with orchestration frameworks such as Apache Airflow
Exposure to or experience with AWS and cloud services such as S3, ECS, and RDS, including building cloud-native data platforms

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

accessibilitysqlpostgrespythonawsci/cdkubernetesdocker

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness