Senior Electrical Systems Specialist (Data Center Reliability)
•Phaidra· 4h
🏷️ Data Science📝 Contract⭐ Senior🇺🇸 USA
4h ago
Sparkadvisors·about 10 hours ago
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 But their ability to be effective healthcare advocates has long been hamstrung by broken tools and outdated systems.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.
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.
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.