Senior Analytics Engineer

Spark is a healthcare tech company focused on improving Medicare services through innovative technology. They are seeking a Senior Analytics Engineer to shape core data models and analytics foundations, playing a critical role in transforming data solutions for internal and customer-facing products.

Responsibilities:

• 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

Requirements:

• 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