Jellyvision is hiring a Data Engineer

Jellyvision's headquarters is in Chicago, and, post-COVID, many of us will be returning to the Chicago offices (by choice, not requirement -- our philosophy is ?Flexible First?). But this position is also eligible for work by a remote employee out of CA, FL, GA, IL, KY, MA, MI, MN, NY, NC, OH, OR, PA, TX, UT, WA, or WI.

Who we are

We at Jellyvision are the proud parents of ALEX, a platform that saves employees and their employers money by making tricky decisions?like choosing and using employee benefits?less confusing and more enjoyable. The success of ALEX has exceeded our wildest work-related dreams, which is why we need an experienced Data Engineer to help us continue on our journey.

How you'll help

As a company, Jellyvision is growing fast and so is the data associated with the growth.

A Data Engineer will bring in industry expertise in Data Engineering to help bridge the needs of Data Scientists, Data Analysts, Business Intelligence and the User Research teams. Successful candidates will partner with our business partners to understand the data needs and to achieve operational excellence.

What you'll do

Design, build and integrate Data ETL/ELT pipelines using Cloud technologies (AWS, Google Cloud Platform [GCP]) and also using data-centric programming language (Python preferred)
Write test-friendly application code using either TDD or BDD methodologies
Create, document and execute all test plans (unit, integration, end-to-end)
Write complex SQL (NoSQL a plus) queries needed to make data easily accessible
Create, maintain and optimize Data ecosystem
Collaborate with architecture and lead engineers to ensure consistent development practices are followed
Provide mentoring to Junior Engineers
Participate in estimation process for new work and releases
Participate in peer reviews
Participate in retrospective reviews once the project and/or sprint is completed
Provide constructive feedback where and when necessary to improve process and delivery
Drive improvements in people, practices, and procedures
Ability to learn and embrace new technologies in an ever-changing environment
Support live systems to ensure business continuity

Experience & skills you'll need

3+ years of experience in the Data Engineering domain
Strong SQL skills and experience writing large volumes of data and various database technologies
Experience in Python, Ruby, Scala, C++ and any other data-centric programming languages
Well versed in ETL/ELT process and implementation
Strong analytic skills related to working with big structured and unstructured datasets
Experience with big data tools such as Hadoop, Spark, Kafka, etc
Experience with relational SQL and NoSQL databases
Experience with AWS cloud services such as EC2, EMR, RDS, Redshift
Excellent communication skills and ability to work using Agile methodologies
Ability to work quickly and collaboratively in a fast-paced, entrepreneurial environment
Outstanding problem-solving skills
Experience in on-call support rotation schedule

Good to have:

Experience with AWS and AWS ML services like SageMaker
Experience with AWS Data Engineering tools like AWS Glue, AWS Data Pipeline, Airflow
Experience working with PII, PHI, HIPAA, CCPA and Healthcare sensitive data
Experience and knowledge working with data warehouses such as Snowflake
Full-stack experience, having both frontend and backend development experience
Entrepreneurial and innovative

Anything else?

Our credo is a simple one: be helpful. And we think we can be most helpful if our workforce is as diverse in thought, perspective, and culture as the people who use our products. We are looking to add amazing people to our team who will bring diversity across many lines, including race, ethnicity, religion, sexual orientation, age, marital status, disability, gender identity, sex, and country of origin.

Thanks for your interest in Jellyvision!

Summary
Company name: The Jellyvision Lab Inc.
Remote job title: Data Engineer at Jellyvision (Healthcare SaaS Company) at The Jellyvision Lab Inc. (allows remote)
Job tags: cloud, python, sql