Job Description
We're building healthcare tech for a system that desperately needs it.
Each year millions of Americans deal with confusing changes to their Medicare plans that impact their prescriptions access to care and pocketbooks. These aren’t just inconveniences – they are potentially life-altering changes that leave seniors medically and financially vulnerable.
Independent Medicare advisors play a crucial role in guiding seniors through this complexity and helping them find the right coverage for their needs. But their ability to be effective healthcare advocates has long been hamstrung by broken tools and outdated systems.
Spark is fixing that. We’re the fastest-growing Medicare platform in the country combining AI an industry-leading CRM and client services to transform how 10000+ brokers acquire enroll and support clients in their local communities.
Join a talent-dense team from Square Ramp Yext Oscar and Cedar — backed by Primary Ventures and Viewpoint Ventures — that is serious about building technology to expand access to quality healthcare. We offer remote work sabbaticals company retreats and other generous benefits that earned us recognition as one of Inc. Magazine’s Best Workplaces of 2025
Healthcare is overdue for innovation. Let’s redefine what its future looks like — together.
Spark is seeking a Senior Analytics Engineer to join our Data team. Historically the Medicare distribution industry has lacked transparency—but Spark is on a mission to change that. As a Senior Analytics Engineer you will play a critical role in shaping Spark’s core data models pipelines and analytics foundations that power both our internal decision-making and customer-facing products.
In this role you’ll take ownership of high-impact datasets and lead the design of scalable reliable data pipelines. You’ll work closely with Product Engineering Carrier Relations and Operations to translate complex business needs into durable data solutions. Beyond execution you’ll help set standards mentor teammates and influence how analytics engineering is practiced at Spark.
What You'll Do- Lead the design optimization and maintenance of scalable ELT pipelines using AWS tooling Snowflake and dbt.
- Own Spark’s most critical data models ensuring they are well-documented tested performant and trusted across the organization.
- Drive standardization and automation across data workflows to reduce manual effort improve reliability and enable faster iteration.
- Partner deeply with cross-functional stakeholders to understand ambiguous business problems and translate them into clear scalable data solutions.
- Set best practices for data quality testing and observability continuously raising the bar for accuracy and consistency.
- Lead medium- to large-scale data initiatives end-to-end including technical design execution stakeholder communication and delivery.
- Mentor and support Analytics Engineers and other Data teammates providing technical guidance code review and coaching.
- Contribute to data team strategy influencing tooling decisions modeling patterns and long-term architecture.
- 5+ years of experience in analytics engineering or a closely related role.
- Advanced SQL expertise with a strong track record of building and maintaining production-grade data models.
- Deep experience with dbt including testing documentation and modular modeling patterns.
- Proven ability to own ambiguous problems and turn them into durable well-designed data solutions.
- Strong instincts for data quality correctness and edge-case handling especially in messy or incomplete datasets.
- Experience automating and improving data workflows using modern cloud and analytics tooling.
- Comfortable giving and receiving feedback and helping teams converge on shared standards and best practices.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Python experience for orchestration data tooling or process automation.
- Experience managing or influencing cloud infrastructure.
- Background in analytics or BI with a strong intuition for how data is ultimately consumed.
- Experience working with performance tuning and cost-aware query design.
- Familiarity with modern analytics tools such as Looker Hex Tableau or Power BI.
Our salary ranges are based on paying competitively for our company’s size and industry and are one part of the total compensation package that also includes equity benefits and other opportunities at Spark. In accordance with New York City Colorado California and other applicable laws Spark is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors including qualifications for the role experience level skillset geography and balancing internal equity. A reasonable estimate of the current salary range is listed below. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration so we allow some choice between equity and cash.
Why you should join our team
By joining Spark you will get in on the ground floor of a fast-moving well-funded and mission-driven startup where you will have a profound impact on the brokers and beneficiaries we serve. And you'll learn grow be challenged and have fun with your team while doing it.
We strive to help you and your family thrive. We're committed to supporting your happiness healthiness and overall well-being by providing a comprehensive benefits program. In addition to your base salary we also offer:
- Equity compensation
- Health care including dental and vision through our PEO Sequoia
- Flexible work location; co-working available
- 401k
- Paid Time Off
- Monthly Remote Work Stipend (help cover costs of home-office needs)
- Paid Parental Leave
- Up to 14 weeks for birthing parents
- Up to 8 weeks for non-birth parents
- 11 paid holidays
- 2 week sabbatical at 5 years of employment
- Wellbeing Perks through SpringHealth OneMedical PerkSpot and SoFi
Compliance
Spark is a proud participant in E-Verify. As part of our commitment to compliance we use the E-Verify program to confirm the employment eligibility of all employees working in the United States. For more information about E-Verify please visit www.e-verify.gov.
Furthermore for security and compliance requirements we’re unable to accommodate international remote work. While we fully support travel and time off all work must be conducted from an approved location within the U.S.
At Spark we are committed to hiring the best team to serve our clients regardless of their background. We need diverse perspectives to reflect the diversity of our problems and the population we serve. We look to hire people from a variety of backgrounds including but not limited to race age sexual orientation gender identity and expression national origin religion disability and veteran status.
Top Skills
What We Do
Spark partners with local independent agents to deliver clients a concierge experience for addressing all their retirement needs. The vast majority of beneficiaries select benefits with the help of an independent broker but technology and support for brokers is woefully antiquated. We provide workflows and services to help brokers achieve transformative growth.
Why Work With Us
In just five years we’ve partnered with over 8000 brokers and enrolled over 225000 beneficiaries making us the fastest-growing Medicare brokerage in the country. Brokers love us: during this period of intense growth we’ve maintained an NPS of 91 a client retention rate of 93% and we’ve helped brokers grow on average >100%.
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Date Posted
04/02/2026
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