Requirements
- Bachelor's degree or equivalent relevant experience and; 6-8 years of industry experience in data engineering or software engineering with a focus on data systems.
- Strong proficiency in Python and SQL for data pipeline development and analysis.
- Experience with AWS data platforms (Glue, S3, Athena, Lambda, Step Functions).
- Familiarity with Snowflake or similar cloud data platforms.
- Familiarity with streaming technologies such as Kafka or Kinesis.
- Experience with workflow orchestration tools (Airflow, Step Functions, or similar).
- Proficiency in infrastructure-as-code tools like Terraform.
- Understanding of data modeling principles.
- Excellent written and verbal communication with a strong collaborative focus.
- Experience with CI/CD tailored for machine learning systems (e.g., automating model training, validation, and deployment)
Nice to Have
- Prior experience working within the insurance industry or another highly regulated environment, demonstrating an understanding of pertinent regulatory, security, and data governance challenges.
- Familiarity with ML infrastructure and supporting data science teams in productionizing models.
- Experience designing and building feature stores or real-time feature serving systems.
- Exposure to data governance and cataloging tools (e.g., DataHub, Atlan, or similar)
Benefits
- medical
- dental
- vision
- life insurance
- supplemental income plans
- Headspace app subscription
- monthly wellness allowance
- 401(k) Plan with a company match
- four weeks of PTO in their first year of employment
- twelve weeks of fully paid parental leave
- up to $5000 each year for professional learning, continuing education and career development
- LinkedIn Learning subscriptions
- multiple different coaching opportunities through BetterUp
Additional Information
- Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day.
- We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones.
