Sr Data Engineer

Our Mission

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

Overview

How you can make a difference

As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure that support AI/ML projects. You will leverage your expertise in Databricks, Azure cloud services, CI/CD practices, ELT processes, NoSQL databases, and infrastructure as code to deliver robust and efficient data solutions. You will collaborate closely with data scientists, ML engineers, and software engineers to enable advanced analytics and machine learning capabilities. 

What you’ll be doing 

• Design, develop, and optimize end-to-end data pipelines and ETL/ELT workflows using Databricks and Azure Data Services. 

• Implement and maintain scalable data architectures supporting AI/ML model training and deployment. 

• Manage and optimize NoSQL databases (e.g., Cosmos DB, MongoDB, Cassandra, ElasticSearch) for high availability and performance. 

• Develop infrastructure as code (IaC) solutions using tools like Terraform, ARM templates, or Azure Bicep to automate cloud resource provisioning. 

• Build and maintain CI/CD pipelines for data engineering workflows to ensure reliable and repeatable deployments. 

• Collaborate with data scientists and ML engineers to understand data requirements and deliver clean, well-structured datasets for model development. 

• Monitor, troubleshoot, and optimize data workflows and infrastructure to ensure data quality and system reliability. 

• Establish best practices for data engineering, including data governance, security, and compliance. 

• Stay current with emerging technologies and industry trends in data engineering, cloud computing, and AI/ML. 

What you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 

• 5+ years experience as a Data Engineer, with a strong focus on AI/ML projects. 

• Expertise with Databricks platform including Spark programming (Scala, Python, or SQL). 

• Hands-on experience with Azure cloud services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB. 

• Strong knowledge of ELT/ETL methodologies and best practices. 

• Proficient with NoSQL databases and their design/performance considerations. 

• Experience implementing CI/CD pipelines using tools like Azure DevOps, GitHub Actions, Jenkins, or similar. 

• Skilled in infrastructure as code (IaC) using Terraform, ARM templates, or Azure Bicep. 

• Solid programming skills in Python, Scala, or similar languages. 

• Experience working closely with AI/ML teams to deliver data solutions that support machine learning workflows. 

• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 

• Excellent communication skills with the ability to explain complex technical concepts to stakeholders.

#LI-Remote

This is a remote position.

Salary Range

Benefits & Perks

The actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives and restricted stock units as part of the total compensation package, in addition to a full range of benefits including:  

• Medical, dental, and vision 

• HSA contribution and match 

• Dependent care FSA match 

• Uncapped paid time off 

• Paid parental leave 

• 401(k) match 

• Personal and healthcare financial literacy programs 

• Ongoing education & tuition assistance 

• Gym and fitness reimbursement 

• Wellness program incentives 

Why work with HealthEquity 

Why work with HealthEquity 

HealthEquity has a vision that by 2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth. Join us and discover a work experience where the person is valued more than the position. Click here to learn more. 

You belong at HealthEquity!

HealthEquity, Inc. is an equal opportunity employer, and we are committed to being an employer where no matter your background or identity – you feel welcome and included. We ensure equal opportunity for all applicants and employees without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, or about HealthEquity’s applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our Careers page.

HealthEquity uses Microsoft Copilot to transcribe screening interviews between candidates and their direct Talent Partner for note taking and interview summaries. By scheduling a screening interview with us, you consent to Microsoft Copilot’s AI technology recording and transcribing your interview with your Talent Partner. This information will be reviewed for accuracy and then used by HealthEquity to summarize the interview, ensure accuracy, and facilitate our hiring process. We take privacy seriously. You have the option to opt out. If you wish to opt out of this Microsoft Copilot transcription, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request from you, we will assume that you consent to the use of Microsoft Copilot.

At HealthEquity, our goal is to save and improve lives by empowering healthcare consumers. This shared purpose inspires everything we do, including how we approach hiring. Our process is designed to get to know the real you: your skills, experiences, and potential to make a difference. We value honesty, originality, and the courage to do the right thing, even when it is not the easiest path. Showing up as your authentic self reflects these values and helps us build something truly remarkable together.

As AI is becoming a common tool throughout the application process, we want to be clear about its appropriate use at HealthEquity. Using AI to support resume writing, research, or interview preparation is perfectly acceptable, provided the content is accurate and genuinely represents your qualifications and skills.  For other key parts of our interview process, however, it is important that the ideas, communication, and work you share reflect your own voice, experiences, and thinking. We ask that you participate in our live interviews and complete any assessments without AI assistance unless instructions explicitly indicate otherwise or a specific exception is discussed and approved in advance. This approach ensures fairness, celebrates your individuality, and allows your authentic perspective to shine. Behaviors that do not align with these guidelines may result in disqualification from the hiring process or termination of employment if later discovered. We appreciate your understanding and look forward to learning about the unique contributions only you can bring to HealthEquity.

HealthEquity is committed to your privacy as an applicant for employment.  For information on our privacy policies and practices, please visit HealthEquity Privacy.