HealthEquity
Job
Sr Data Engineer US-Remote 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. Responsibilities
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.
Qualifications
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.
Location
Job Locations: US-Remote Salary Range
$120,500.00 To $157,000.00 / year Benefits & Perks
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
HealthEquity has a vision that by 2030 we will make HSAs as widespread 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. 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, disability status, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, 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. You have the option to opt out. If you wish to opt out, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request, we will assume you consent to the use of Microsoft Copilot. As AI is becoming a common tool throughout the application process, we want to be clear about its appropriate use. Use of AI for resume writing, research, or interview preparation is acceptable if it accurately represents your qualifications. For live interviews and assessments, please participate without AI assistance unless explicitly instructed otherwise. This helps ensure fairness and your authentic perspective. HealthEquity is committed to your privacy as an applicant for employment. For information on our privacy policies and practices, please visit HealthEquity Privacy. #J-18808-Ljbffr
Sr Data Engineer US-Remote 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. Responsibilities
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.
Qualifications
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.
Location
Job Locations: US-Remote Salary Range
$120,500.00 To $157,000.00 / year Benefits & Perks
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
HealthEquity has a vision that by 2030 we will make HSAs as widespread 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. 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, disability status, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, 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. You have the option to opt out. If you wish to opt out, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request, we will assume you consent to the use of Microsoft Copilot. As AI is becoming a common tool throughout the application process, we want to be clear about its appropriate use. Use of AI for resume writing, research, or interview preparation is acceptable if it accurately represents your qualifications. For live interviews and assessments, please participate without AI assistance unless explicitly instructed otherwise. This helps ensure fairness and your authentic perspective. HealthEquity is committed to your privacy as an applicant for employment. For information on our privacy policies and practices, please visit HealthEquity Privacy. #J-18808-Ljbffr