Analytics Engineer II - Remote

Overview

Spark is seeking an Analytics Engineer II to join our data team. Historically, the medicare distribution industry has had a lack of transparency, but Spark is on a mission to change that. 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 Short

• Design, optimize, and maintain scalable ELT data pipelines using GCP tools, focusing on BigQuery and Dataform/dbt.
• Automate and standardize data processes to improve efficiency, reduce manual effort, and ensure consistent data flow.
• Partner with cross-functional teams to understand business needs and translate them into technical data solutions that support data-driven insights.
• Mentor and upskill junior engineers, fostering a collaborative and growth-oriented environment.
• Ensure data quality through rigorous testing, analysis, and continuous improvement of data processes.
• Own and deliver medium-scale data projects, managing end-to-end execution and stakeholder communication.

Requirements

• 4+ years of experience in data or analytics engineering.
• Advanced proficiency in SQL and experience with DBT/Dataform for building scalable pipelines.
• Some exposure to Python and data visualization tools (e.g. Metabase, Hex, Tableau, PowerBI).
• Detail-oriented with the ability to analyze complex data and draw conclusions even when faced with messy/incomplete data.
• Proven ability to automate data workflows using modern tools.
• Comfortable giving and receiving feedback on standardized processes to ensure quality and consistency.
• Strong communication skills for working cross-functionally with various teams.

Benefits

• Equity compensation.
• Health care, including dental and vision.
• Flexible work location; co-working available.
• 401k.
• Paid Time Off.
• Monthly Remote Work Stipend.
• Paid Parental Leave.
• 11 paid holidays.
• 2 week sabbatical at 5 years of employment.
• Wellbeing Perks through various programs.