Senior Analytics Engineer

About Spark Advisors

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 But their ability to be effective healthcare advocates has long been hamstrung by broken tools and outdated systems.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 8,000+ 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.

Summary

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.

What We're Looking For

• 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.

Nice To Haves

• 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.

Compensation

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