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Data Engineering and Analytics Manager

Remote

About Spark Advisors

We’re Spark, a mission-driven company helping independent Medicare brokers build the insurance business of their dreams. 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.

In just four years, we’ve partnered with over 5,000 brokers and enrolled over 100,000 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% since partnering with us.

It’s an exciting time to be at Spark. Our diverse, remote-first team comes from leading technology, healthcare, and insurance companies, and has grown from 40 to 70 in the last year. Most recently, we’ve raised a Series B from leading investors who share our ambition.

Join us: we’re always on the lookout for sharp, talented, empathetic teammates.

Summary

Spark is looking to bring on a manager to lead our Data function. Historically, the industry has had a lack of transparency, however, Spark is on a mission to change that and you can be a key part of the change by helping Spark and our customers wrangle, structure and draw valuable insights from a variety of data sources. 

In this role, you will be responsible for all-things-data at Spark. You will work with data engineers to build out our data warehouse and implement technology that allows us to productionalize new data products for our agents. You will guide your team to take messy data from insurance carriers and standardize and automate the cleaning and processing of it. You will work with your team to build analytics infrastructure and dashboards, empowering Spark and our customers to make more data-driven decisions. Reporting to the Head of Engineering, you will collaborate closely with product, engineering, carrier relations, and other organizations across Spark to drive our data initiatives.

Key Responsibilities

  • Hire, onboard, and mentor team members across data engineering, pipelining, and analytics
  • Balance hands-on technical work with providing high-level guidance and mentorship to the team
  • Drive the planning, prioritization, scoping and execution of the data roadmap
  • Partner with product, engineering, carrier relations, and finance on strategic data initiatives, acting as the key point of contact for data-related needs
  • Build and maintain scalable data infrastructure on our data stack in GCP using BigQuery, Dataform, Datastream, Cloud Composer, Metabase and Hex
  • Architect and build pipelines to transform data from messy into structured and consumable for key agent features
  • Automate and standardize manual data processes, ensuring efficiency and scalability, turning messy data into clean and valuable datasets
  • Guide your team in providing BI insights and building and maintain dashboards that enable data-driven decision-making

Skills Knowledge and Expertise

  • 5-8+ years in data engineering and analytics in a startup environment
  • 1+ years in leading data teams in a management capacity
  • Strong technical foundation in data engineering and infrastructure with a modern data stack (GCP or Snowflake, dbt, Airflow, Fivetran)
  • Experience automating data workflows and cleaning messy data with modern tools (Dataform or dbt)
  • Experience with BI tools and visualizing data (Metabase, Looker, Tableau or similar)
  • Strong proficiency in SQL and Python
  • Player/coach leadership style, balancing hands-on work with team management
  • Strong project management, planning and prioritization skills
  • The ability to both think strategically and tactically, architecting while executing
  • Strong communication skills and experience collaborating on asks from cross-functional stakeholders

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 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.

Base Salary

$185,000 - $200,000 USD

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 12 weeks for birthing parents
  • Up to 8 weeks for non-birth parents
  • 11 paid holidays
  • Wellbeing Perks through SpringHealth, OneMedical, PerkSpot, and SoFi

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.

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