Data Engineer

Data Engineer I

Who we are

Jellyvision ALEX is on a mission to improve lives by helping people choose and use their benefits. We are raising the barfor benefits and the employee experience (for our employees and those of the customers we serve) by scaling personalization compassion and an earnest intent to be helpful in all that we do.

Jellyvision people are a group of creative problem solvers who use good judgment give each other honest feedback engage in real debate and snack frequently. We are curious hungry and humblebecause we know this is how well continue to make an impact. Were kind biased towards action and sweat the details to create great experiences for those we serve.

We are an inclusive human-first workplace. Respect and trust for each other are foundational and our equitable total rewards offerings support the lives and holistic well-being of our unique people. At Jellyvision expect career experiences that challenge you empower you to have a direct impact on our mission and enable you to learn try and do while having fun along the way.

Whats the role

As a Data Engineer I youll help build and maintain the data infrastructure that enables our teams to personalize benefits for millions of users. This is an early-career role focused on developing strong data engineering fundamentals - building pipelines designing storage structures and modeling data that power products client analytics and strategic decisions. Youll work closely with the rest of our data team to deliver reliable well-structured data across the organization.

What youll do to be successful

1.) Build and maintain data pipelines and storage

• Build test and deploy Airflow DAGs in MWAA following team standards
• Write clean production-ready Parquet files using PyArrow or Spark with proper compression and partitioning
• Implement ETL / ELT pipelines from source landing transformed layers
• Help maintain S3 storage structures following existing partitioning lifecycle and access policies
• Assist with dimensional modelingturn normalized data into star-schema facts and dimensions under senior guidance
• Implement basic data quality checks using Python
• Troubleshoot failing DAGs rerun backfills and respond to alerts
• Participate in on-call support rotation
• Update and maintain pipeline documentation

KPIs : pipeline reliability on-time deliver code quality

2.) Learn collaborate and help grow our data platform

KPIs : documentation quality responsiveness to feedback stakeholder satisfaction

Experience & skills youll need

Required :

Nice to Have :

The Details

What Jellyvision will give you

Check out our benefits here!

Jellyvision is committed to continuous evolution and fostering a more diverse and inclusive workplace where everyone is welcomed valued and respected. It doesnt matter your race ethnicity religion age disability sexual orientation gender gender identity / expression country of origin genetic information veteran status marital status pregnancy or related condition (including breastfeeding) criminal histories consistent with legal requirements or any other basis protected by just want amazing people who are willing to grow along with us.

Although we have a Chicago-based HQ that employees are welcome to work out of whether theyre local or just visiting this position is also eligible for work by a remote employee out of CA CO FL GA IL IN KY MI MN NC NY OH OR PA SC TN TX UT VA WA or WI.

Required Experience :

IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 95000 - 110000