Senior Data Engineer (On-Site)

Who is Cover Whale?

Cover Whale improves road safety by combining the insurance products we sell with our data-driven driver coaching and safety program. Our safety program is proven to save lives while delivering better insurance for our drivers.

We provide easy insurance options for our drivers at industry-leading insurance loss ratios for the insurance companies that support Cover Whale. The Commercial Auto and Trucking segment of the insurance industry badly needs our help and so do the hard-working drivers who have been struggling with ever-increasing insurance costs year after year. Join us in the mission!

Founded in 2019, Cover Whale recently closed a $15.5M seed funding round (the largest InsurTech seed round raised in North America) and is scaling rapidly. For more information, please visit www.coverwhale.com.

Cover Whale is ranked 374th in Forbes 2023 America's Best Startup Employers 2023 (forbes.com).

The Role

Cover Whale is searching for a Senior Data Engineer to join our rapidly growing Data team. This position will provide an excellent opportunity to impact multiple business areas. At Cover Whale, we rely on data to drive our systems and solutions. We are seeking an experienced data engineer to continue to help us revolutionize the InsureTech space.

Responsibilities:

• The primary focus will be on building out our ETL processes.
• Communicate highly complex data structures to organizational leaders.
• Provide technical expertise, thought leadership, and architectural guidance to our Data and Engineering teams.
• Collaborate with Product Management, internal stakeholders, and external vendors to continually improve deployment and operations.
• Foster a continuous learning environment through continuously improving processes, procedures, and approaches.
• Work with cross-functional Data teams to develop, manage, and implement products and technology roadmaps in alignment with long-term strategies.
• Create proof-of-concept and pilot technology demonstrations to stakeholders surrounding microservice architecture and service meshes.

Please note: This is an on-site role with the requirement to be in the office at least 4 times per week.

Compensation:

The Expected base pay for the role will be between $140,000-$151,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonus and other Cover Whale-sponsored total rewards/benefits.

Requirements

• Five or more years of experience with Python and SQL
• Located in the NYC area
• Linux expertise
• Familiarity with the AWS ecosystem, specifically API Gateway, Kinesis, Athena, RDS, and Aurora
• Experience building ETL pipelines for analytics and internal operations
• Experience building internal APIs and integrating with external APIs
• Effective communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Desire to work on a dynamic, research-oriented team.
• Experience with distributed application concepts and DevOps tooling
• Excellent writing and communication skills
• Troubleshooting and debugging ability

Nice to have:

• 3 or more years of experience with Hadoop, Spark and Airflow
• Experience with DAGs

Benefits

Perks/Benefits:

• Health/Dental/Vision
• Life/Disability
• Employee Assistance Program
• Flexible Vacation Policy
• 401k - Employer Match
• Generous Parental Leave

Cover Whale works to maintain the best possible environment for our employees, where individuals can learn and grow with the company. We strive to provide a collaborative environment where each person feels encouraged to contribute to their processes, decisions, planning, and culture.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.