Senior Data Platform Engineer, Jellyvision
$175-195k
More information about location
Streamlining employee benefits
Be an early applicant
Streamlining employee benefits
201-500 employees
Be an early applicant
$175-195k
More information about location
201-500 employees
Company mission
To improve lives by helping real people choose, use, and appreciate their benefits.
Role
Who you are
- 7–9+ years of data engineering or data platform experience with hands-on ownership of production systems
- Experience building and operating a data lakehouse, data lake, or modern warehouse architecture (Snowflake, Databricks, or comparable)
- Deep fluency with Apache Airflow or comparable orchestration: DAG design, task dependencies, sensors, and production operations
- Solid understanding of open table formats (Iceberg, Delta, Hudi) and columnar storage (Parquet, Avro, ORC), including how format choices affect query performance, storage efficiency, and schema evolution
- Strong Python: production-grade code, testing, packaging, and debugging
- Advanced SQL: complex transformations, performance tuning, and debugging against a cloud warehouse
- Hands-on relational schema design, ideally in a multi-tenant SaaS context
- Terraform or comparable IaC for managing cloud data resources; CI/CD for pipeline or infrastructure deployment
- Familiarity with AWS data infrastructure: S3, IAM, and relevant managed services
- Experience using AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to accelerate engineering workflows
- Demonstrated ownership of systems you’ve inherited and systems you’ve built from scratch - you can assess an unfamiliar codebase and improve it, and you’re just as effective designing something new
- Clear written communication: you can describe a system’s state, a problem, or a recommendation in plain language
- Experience mentoring other engineers through code review, pairing, or technical guidance
- Nice to have:
- Production experience with Apache Spark or comparable distributed processing frameworks
- Snowflake administration: roles, resource monitors, clustering, and cost controls
- Experience with dbt or comparable transformation frameworks: building models, understanding grain and dependencies, writing tests
- Experience with managed ELT tools (Fivetran, Stitch, or similar) including evaluating and retiring them
- Experience in a regulated industry (healthcare, insurance, financial services, etc.) with familiarity around compliance-driven data requirements
- SaaS platform experience, particularly with multi-tenant data architectures
- Familiarity with stream processing technologies (Kafka, Kinesis, Flink)
- Experience with data cataloging or lineage tools (Monte Carlo, DataHub, Atlan, or similar)
- Data governance experience: access control frameworks, data quality monitoring, lifecycle management
- Experience evaluating or migrating between data platform technologies
- Experience standing up a data platform from scratch, including making early architectural and design decisions that shaped how the system evolved
What the job involves
- As a Senior Data Platform Engineer, you’ll be a hands-on engineer on a small, high-ownership data team
- You’ll work across the full data platform - relational, warehouse, and lakehouse systems - building and operating the pipelines that power compliance, analytics, and reporting workloads
- This is a multi-hat role
- Some days you’re building pipelines, other days you’re deep in schema design, improving infrastructure, or jumping into a production issue
- You’ll contribute to the platform’s service layer, help evaluate new tools and approaches, and mentor other engineers on the team
- We’re looking for someone who takes ownership of what they build, communicates clearly about system state and risk, and can work independently through ambiguity
- Design and build pipelines that move data across systems - supporting data lake ingestion, compliance workloads, and cross-domain data flows
- Own pipeline operations end to end: monitoring, incident resolution, data quality, and documentation that lets any team member respond independently
- Identify technical debt and reliability risks and raise them with clear context and proposed next steps
- Design and maintain schemas across relational, warehouse, and lakehouse layers, working with application engineers and product to get data models right
- Build out the platform’s service layer, infrastructure-as-code, and data quality frameworks - this role spans design and implementation
- Keep platform documentation at a level where any team member can understand what exists, how it works, and where the risks are
- Over time, contribute to the analytics engineering layer, including modeling practices and semantic layer development
- Contribute to evaluations of the current platform against emerging architectures and tooling, helping produce trade-off analyses and recommendations
- Bring what you see day to day in the systems you operate into the team’s improvement roadmap and technical direction
- Track and report on platform health metrics: pipeline uptime, failure rates, data freshness, and cost trends
- Mentor peers and junior engineers through code review, pairing, and technical guidance
- Help uphold engineering standards and collaborate cross-functionally with application engineering, product, and analytics as a reliable technical partner
- Share knowledge through documentation and technical discussions
Our take
Navigating health benefits is confusing, and most people need help making sense of it. As healthcare costs clim and plans get more complex, companies are turning to tools like Jellyvision to simplify the experience. The market is shifting toward smarter, more personalized support, and Jellyvision is part of this change.
At the heart of Jellyvision is ALEX< a virtual benefits advisor that talks to employees like a real person (think funny, friendly, and easy to understand). ALEX gives personalized advice based on each person's life, family, and health needs, helping them make better choices without added stress.
Recently, the company's been on a roll. Now supporting a quarter of the Fortune 500 and recently integrating into Conduent's Life@Work Connect platform. Meaning even more employees can now access ALEX's support. And under leadership of CEO Amanda Lannert, Jellyvision has transformed from a quirky digital agency into a seiouss HR tech player, with big plans to keep improving and expanding.
Steph
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (2 rounds)
Mar 2017
$20m
LATE VC
Jan 2008
$5m
SERIES B
Total funding: $25m
Company benefits
- Medical, Dental, and Vision Insurance
- Majority of premiums covered for spouses/civil union partners/dependents
- Roth or Traditional 401(k) with match
- HSAs & FSAs with employer contributions
- Flexible-first PTO and work policies
- Self-care days to recharge
- Access to our Chicago office
- Gender-affirming support
- Generous parental leave, adoption, and surrogacy assistance
- Home office, gym, and wellness allowance
- Therapy stipend
Company HQ
Chicago Loop, Chicago, IL
Leadership
Amanda Lannert
(CEO)Amanda has served as the CEO of Jellyvision since 2011. They are also a Board Director/Member at various companies, including SportHero, P33 Chicago and Equilibria.
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