Data Engineer

Posted 14 Hours Ago
Easy Apply
Hiring Remotely in USA
Remote
3-5 Years Experience
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
Leveraging the power of data.
The Role
The Data Engineer will design and implement data systems for AI and ML models, develop data extraction tools, and work with data scientists to prepare data for modeling. Responsibilities also include managing data pipelines, optimizing data extraction processes, and maintaining the infrastructure across various data sources in AWS.
Summary Generated by Built In

Gradient AI:   

Gradient AI is a leading provider of AI solutions for the Group Health and P&C insurance industries. Our solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Gradient AI’s SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims, providing insurers with high resolution, data-driven insights. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. Founded in 2018, Gradient has experienced strong growth every year, and recently raised $56 million in Series C funding from top Insurtech investors. 

About the Role:  

We are looking for a Data Engineer to join our team to create and maintain optimal data pipeline architecture and assemble large, complex data sets. You’ll have a hand in every stage of development and are comfortable thinking creatively with tools such as Python, SQL, and the AWS ecosystem. The ideal candidate is willing to learn new skills and technologies as the task at hand requires and are adaptable to fluid and evolving project requirements. In this role, you will contribute materially towards shaping and realizing the vision of our business and contribute towards fundamentally changing the way an entire industry does business (really).  

Responsibilities:  

  • Design, build, and implement data systems that fuel our ML and AI models 
  • Develop tools to extract and process client data from different sources and tools to profile and validate data  
  • Work cross functionally with data scientists to transform large amounts of data and store it in a format to facilitate modeling  
  • Contribute to production operations, data pipelines, workflow management, reliability engineering, and much more 
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies 

Qualifications:  

  • BS in Computer Science (or in another quantitative discipline); 4+ years of working experience  
  • Experience working in Python in a professional environment 
  • Desire to learn new skills and tools (e.g. Redshift, Tableau, AWS Lambda, etc.); bonus for experience with Apache Spark (PySpark), DataBricks, Snowflake, or similar distributed compute platforms 
  • Experience using data orchestration frameworks such as Airflow, Dagster, Prefect 
  • Exposure working with a cloud-computing environment (e.g. AWS EC2) 
  • Comfortable with Linux, including developing shell scripts  
  • Experience working in insurtech or on AI/ML products is a bonus 

What We Offer: 

We are an equal opportunity employer that offers a number of benefits and perks to accommodate all types. Bring your authentic self to work in our supportive workplace where we offer:  

  • A fun and fast-paced startup culture 
  • A culture of employee engagement, diversity and inclusion 
  • Full benefits package including medical, dental, vision, 401k, disability, life insurance, and more 
  • Unlimited vacation days and ample holidays- we all work hard and take time for ourselves when we need it 
  • Competitive salary and generous stock options - we all get to own a piece of what we’re building 
  • Ample opportunities to learn and take on new responsibilities 
  • Paid parental leave 

Top Skills

Python
SQL

What the Team is Saying

Max
Arianna
Salar
Rachel
Stan
The Company
HQ: Boston, MA
105 Employees
Hybrid Workplace
Year Founded: 2018

What We Do

Gradient AI is a leading provider of AI solutions for the Group Health and P&C insurance industries. Our solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Gradient AI’s SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims, providing insurers with high resolution, data-driven insights. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. Founded in 2018, Gradient has experienced strong growth every year, and recently raised $56 million in Series C funding from top Insurtech investors.

Why Work With Us

Here at Gradient, we emphasize learning and development for all employees while offering ample opportunities to learn and take on new responsibilities in a fast-paced, growth-mode startup. Grow your skills and your career as our company expands all while learning about AI, ML, and InsureTech, a cutting edge industry disrupting the space!

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Gradient AI Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Working from the office is optional if you are local to our Boston office. For employees who do come in, it’s usually T/W/Th to focus on group collaboration.

Typical time on-site: Flexible
HQBoston, MA
Our headquarters are in the Seaport area with plenty of restaurants and coffee shops close by. Plus, it's easy to get to from public transportation.

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