Senior Data Engineer

Eames Consulting United State
Remote
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AI Summary

Join a venture-backed Insurtech startup to modernize the $300B+ insurance claims industry. We're looking for a Senior Data Engineer to build reliable, scalable, and high-quality data systems. Partner with analytics, product, and engineering teams to deliver data solutions that drive business and customer impact.

Key Highlights
Partner with analytics, product, and engineering teams to deliver data solutions
Build reliable, scalable, and high-quality data systems
Drive business and customer impact
Technical Skills Required
SQL Python AWS GCP dbt Snowflake Redshift BigQuery Databricks
Benefits & Perks
100% REMOTE job with flexible work arrangements
UNLIMITED paid time off with a required minimum
High-quality tech setup (Mac laptop, monitor, etc)
Comprehensive health, dental, vision coverage
401(K) plus an employer match
Generous parental leave policy

Job Description


Come join a venture-backed Insurtech startup utilizing advanced AI and automation to modernize the $300B+ insurance claims industry. We are searching for a Senior Data Engineer to help scale our platform!


We’re looking for a Senior Data Engineer who’s passionate about building reliable, scalable, and high-quality data systems. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.


Preferred Qualifications:


  • 6-8 years of industry experience in data engineering building scalable data pipelines and data products
  • Strong proficiency in SQL and Python within AWS or Google Cloud Platform (GCP), and dbt
  • Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
  • Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
  • Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
  • Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
  • Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
  • Proven ability to optimize performance and cost across data workflows and storage systems
  • Functional understanding of how to leverage AI and automation in data engineering, building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
  • Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
  • Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership


Compensation/Benefits:


  • 100% REMOTE job with flexible work arrangements
  • UNLIMITED paid time off with a required minimum
  • High-quality tech setup (Mac laptop, monitor, etc)
  • Comprehensive health, dental, vision coverage
  • 401(K) plus an employer match
  • Generous parental leave policy
  • Commitment to DEI - Inclusion


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