Data Engineer

Picwell helps people make better insurance choices.

Navigating the American healthcare system is difficult, and having the right insurance can improve both people's finances and their access to healthcare. Picwell builds a data-driven product to help individuals, like us, easily find the right insurance. We provide helpful insurance recommendations at scale by combining software engineering, statistics/machine learning/artificial intelligence, and health and behavioral economics. Our recommendations help thousands of families every week, and those who follow our advice save about $800 a year on average on health insurance, every year. (To see how our recommendation engine works, visit https://demo.picwell.com.)

Furthermore, we are growing! We have achieved 30-40% revenue growth in our direct-to-user product for the last 2 years, and we are on the path to achieve a similar growth in 2021. We are expanding our products to cover health saving account (HSA) contributions and other insurances, such as dental, vision, and ancillary and voluntary insurances.

Here at Picwell, we are proud of the welcoming and collaborative environment we have cultivated over the years. The team will help you improve your data engineering skills; you may also learn web development, machine learning/statistical modeling, and DevOps skills, depending on your interest. You will also learn about the insurance designs, which will definitely help you choose better benefits in the future; however, we believe that you will still want to use Picwell's recommendation engine for its accuracy and convenience! We offer competitive salaries and benefits in health/dental/vision insurances, HSA with employer contribution, and 401(K).

We are looking for a data engineer with 2-4 years of professional experience. You will spend your time on

  • Building and revising our extract-transform-load pipelines.
  • Devising better data models for SQL and no-SQL databases.
  • Collaborating with data scientists to build and maintain our data products.
  • Collaborating with software engineers to improve our product with the curated data.
  • Working with site reliability engineers to improve our data infrastructure.

For this position, you should

  • Enjoy thinking about better ways to process, store and retrieve data.
  • Have good verbal and written communication skills.
  • Have experience designing relational databases and using SQL effectively.
  • Be able to write on clear, maintainable, and testable code using various programming frameworks, such as object-oriented programming.
  • Be curious to ask good questions.
  • Be eager and able to learn new things.

Before we go over our wish list, we want to emphasize that people rarely meet all the requirements on the following list. Statistics show that women and underrepresented groups frequently do not apply unless they satisfy all the qualifications; we encourage you to prove that these statistics are wrong and apply even if you do not. The following are a plus:

  • Degree in computer science, software engineering, or any related discipline
  • Programming experience in Python
  • Experience with pipeline frameworks, especially Luigi
  • Experience in Apache Spark
  • Experience in various AWS services, such as: step functions, lambda functions, ECS
  • Experience in Docker
  • Experience with NoSQL DBs, we use MongoDB and Elasticsearch
  • Experience working with RESTful APIs
  • Experience in machine learning/statistical modeling
  • Understanding of the insurance rules (e.g. copay vs coinsurance or embedded and non-embedded deductibles) and the insurance industry (e.g. how insurance brokers work)

Fully remote work is possible, but we prefer candidates who can occasionally come into the office.'
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Work Remotely

  • Yes

Job Type: Full-time

Pay: From $90,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Parental leave
  • Vision insurance

Schedule:

  • Monday to Friday

Supplemental Pay:

  • Bonus pay

COVID-19 considerations:
People need to be fully vaccinated or wear masks to come into the office. Many employees are working fully remotely even though they are in the Philadelphia area.

Application Question(s):

  • Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?

Experience:

  • data engineering: 2 years (Required)
  • programming: 2 years (Required)

Work Location: One location

Company
Picwell, Inc.
Posted
11/14/2021
Salary Range
$70,000.00 - 110,000.00
per Year
Salary range estimated by
Location
Philadelphia, PA 19103, US
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