Lead the operational analytics function at a strategic level. Partner with executives to guide decision-making and ensure continuous operational efficiency improvements across the business.

Senior Data Engineers lead the development and optimization of complex data systems and pipelines. Responsibilities include managing data projects, ensuring data quality, and mentoring junior engineers. You will work with stakeholders to align data solutions with business goals and drive improvements. Extensive experience in data engineering and leadership skills are required.

About evermore evermoreis a technology company that administers Smart Benefits to connect people to products and services they need, when they need them, so they can live healthier lives. We partner with payers and retailers to deliver expansive benefits for things like healthy foods, OTC medications, or transportation. evermore is reinventing benefits administration so that everyone benefits with more value for each and better outcomes for all. evermore is a Series B stage company, backed by leading investors including General Catalyst, Define Ventures, Lightspeed Venture Partners, Pinegrove Capital Partners, and Qiming Venture Partners. The Job at a Glance Benefit plan sponsors are our customers, and the data which will be your responsibility is the most visible aspect of our service to them. You will evolve our current offering into a self-service reporting platform while simultaneously expanding our data footprint. At evermore, every role contributes to creating a more accessible and dignified experience for millions of individuals navigating essential public benefits. What You Will Do Working within an organization created at the intersection of health care, retail and financial technology, no two days will look the same. Typical responsibilities of the role include: - Define and work within our data governance practices, including a catalog/dictionary and management of data quality, so that users understand and can trust what they are reporting about - Manage lights-out data operations of our ETL/ELT pipelines ranging from streaming inputs to batch file loads, to support customer reporting, development, and operations - Untangle, normalize, synthesize as needed to permit joining and comparisons from disparate sources, and further analysis including ML processing - Wrangle internal and external data into and through the reporting pipeline and schema - Design and run the security aspects of reporting – we manage healthcare and payments data; a safety mindset is at the foundation of everything we do - Handle reporting requests from stakeholders within and external to the business; over time, move from adhoc to systematic - Support data analysts and other internal consumers of the data - Support and enable ML/AI workloads About You While every candidate brings a unique resume and prospective, an ideal candidate will include: - A legacy of happy customers, rather than amount of data processed or the size of data footprint - A work history at startups; you collaborate deeply, are self-sufficient and you get a lot done - A history of applying software engineering best practices to data wrangling and pipeline creation - Cloud proficiency, ideally on GCP, especially as applied to compute/data architecture and security - Amazing SQL and Python skills, to be applied in ETL, front-end reporting - Experience with building and maturing an MLOps pipeline - Experience with, but not blind reliance on, workflow tools like Airflow and transformation tools like dbt - An ability, and a strategy, to manage data quality - Bachelor’s degree or similar experience strongly preferred Other Requirements - Travel may be required from time to time as part of the role, for company events and business needs - evermore is a remote-first, distributed workforce. Candidates should be comfortable with, and equipped to work within, a distributed remote team, including having reliable internet access and basic home office equipment. evermore will provide a work laptop, and mouse/keyboard upon request - Legal authorization to work in the US is required. At this time, evermore will not consider candidates who need sponsorship, now or in the future - All offers for employment are contingent upon successful completion of a background check What We Offer - Competitive base salary ranging from $219,625 to $235,675, discretionary bonus, and equity; depending on experience/qualifications - Benefits - Medical, Dental, and Vision insurance with 90% paid employer premium contributions for all tiers - 100% Employer Paid Short-Term & Long-Term Disability - 100% Employer Paid Basic Life Insurance Policy - Employee Assistance Program (EAP) - 401(k) Program - Discretionary PTO - Paid holidays - Parental Leave - Flexible work schedule within core hours - Work anywhere in the USA as we are a fully distributed team from coast to coast evermore is an equal opportunity employer, Minority/Female/Disability/Veteran/LGBTQIA+ – proudly embracing diversity in all its manifestations. Applicants requiring reasonable accommodation for the application and/or interview process should notify a representative of the People Operations Team via Careers@sodahealth.com. evermore participates in E-Verify, the federal program for electronic verification of employment eligibility. To all recruitment agencies: evermore does not accept agency resumes, please do not forward them to any evermore employees.

• The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. • The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. • We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.