Sr Data Engineer

Overview:

We are CONNECTING HEALTH AND WEALTH. Come be part of remarkable. 

How you can make a difference  

We are looking for a Senior Data Engineer who will be reporting directly to our Manager, Data Engineering. The position is responsible for data solutions critical to our company’s descriptive and predictive analytics.  The successful candidate will perform a broad range of tasks, from mapping business problems to data solutions, developing ETL/ELT solutions, designing logical and physical data models, and promoting data quality.   In addition, they will collaborate with senior management and partners with project and resource managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue/risk management. 

What you’ll be doing 

Note:  The essential duties and primary accountabilities below are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Although all the functions listed here are essential, the extent to which a team member may engage in these activities may vary day-to day. Predictable and reliable attendance is an essential function. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions as described. 

• Lead the design and development of data engineering solutions (using Databricks, SQL, DBT, Python, C#, Terraform) for the most critical and complex projects. 

• Partner with team members throughout the organization to drive a culture of using data to drive revenue and increase customer growth 

• Constantly strive to understand all HQY data.  Work closely with the business, mapping their most pressing business problems to data and analytic solutions. 

• Jump in and problem solve any part of the data platform architecture or specific solution 

• Take a central role in design of the data warehouse 

• Be a strong advocate of automation whenever possible. Design and implement automated deployment pipelines for the team.  

• Be a strong advocate for data governance and quality. Automate data quality checks.    

• Enable data science team to build ML models by providing high quality data.  

• Solve issues in unfamiliar technologies or areas of expertise 

• Coach and mentor junior team members. 

What you will need to be successful 

• BS degree in Computer Science, Engineering, Mathematics, or a related field and 8 years of work experience 

• Ability and passion to deliver ETL/ELT development projects quickly and efficiently using the Agile development methodology 

• Advanced problem solving and troubleshooting skills. 

• Demonstrated ability to innovate, drive projects to successful completion and create enduring solutions 

• Extensive experience with cloud services (e.g., Azure, AWS, GCP) . 

• Advanced knowledge of massive parallel processing datastores (e.g., DataBricks, Delta Lake, Apache Spark, Snowflake, Redshift).  

• Advanced knowledge of SQL and Relational Database Management Systems (e.g., Azure SQL, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB). 

• Advanced Knowledge of ETL processing tools (e.g., DBT, Databricks, Fivetran, SSIS). 

• Strong understanding of data modeling techniques (e.g., 3NF, Dimensional) and ability to apply them. 

• Strong understanding of terraform and ability to interpret terraform execution plans. 

• Proficiency in programming languages common to Data and Analytics (e.g., Python, C#). 

• A commitment to data security and privacy. 

This is a remote position.

#LIremote

The compensation range describes the typical minimum or maximum base pay range for this position. 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 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
• Adventure accounts
• 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 for 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. 

Come be your authentic self

HealthEquity, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants 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 is committed to your privacy as an applicant for employment.  For information on our privacy policies and practices, please visit HealthEquity Privacy.