Jellyfish

Engineering

SeniorDataEngineer

$190–240k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at Jellyfish. Skills: Python, SQL, data pipelines, data modeling. Maintain data pipelines. Write Python and SQL”

What You'll Achieve.

build, automate, and execute the next generation of our Jellyfish data platform; implementing core data models; building production-grade CI/CD for data pipelines; transforming raw engineering signals into highly optimized analytical layers; write code that directly impacts how the world’s best engineering leaders measure their output; ensure the issue never happens again

Industry & Context.

Engineering
Problems you'll solve

Pragmatic Problem Solver; solve complex data delivery problems

Eligibility Requirements

On-Call & Observability Triage, Occasional travel may be required, Applicants must be authorized to work for any employer in the US, unable to sponsor or take over sponsorship of an employment visa

What They're Looking For.

Must Have

Python, SQL, data transformation frameworks, workflow orchestration engines, enterprise data platforms, data deployments, automated tests, data quality, application backend tiers, backend-for-frontend (BFF) layers, Redis caching structures, data platform's incident response rotation, observability, alerts, programmatic fixes

Nice to Have

rapidly scaling startup, complex, multi-tenant B2B SaaS data, data quality testing frameworks, Great Expectations, Soda, data-observability patterns, cloud cost allocation, token-level spend for LLM/AI model integrations

What You'll Do.

Maintain data pipelines

Migrate workflow orchestration engines

Optimize workflow orchestration engines

Maintain workflow orchestration engines

Eliminate pipeline bottlenecks

Ensure distributed tasks scale

Build data deployments

Provision data resources

Write automated tests

Validate schemas and data quality

Collaborate with product developers

Design application backend tiers

Optimize application backend tiers

Design Redis caching structures

Optimize Redis caching structures

Participate in incident response rotation

Build deep observability

Write programmatic fixes

How You'll Work.

Team & Collaboration

Working closely with Lead Data Architect; Collaborate with product developers; Collaborating with application engineers

Communication Scope

clear data lineage

Full Job Description

Jellyfish is the backbone for elite engineering organizations, and our data pipelines need to be as high-performing and reliable as the teams we serve. We are looking for a Senior Data Engineer to help us build, automate, and execute the next generation of our Jellyfish data platform. Working closely with our Lead Data Architect, you’ll be responsible for implementing core data models, building production-grade CI/CD for data pipelines, and transforming raw engineering signals into highly optimized analytical layers. If you view broken pipelines and manual data patches as a technical debt to be solved and want to write code that directly impacts how the world’s best engineering leaders measure their output, you’re the perfect fit. WHAT YOU’LL ACTUALLY BE DOING: - Pipeline Execution & Modeling – You’ll maintain our end-to-end data pipelines, writing clean, modular Python and SQL. You will help translate the architectural blueprint into reality, structuring data across our Medallion layers (Bronze > Silver > Gold) for maximum performance and reliability. - Orchestration Modernization – You’ll take the lead on migrating, optimizing, and maintaining our workflow orchestration engines. You’ll eliminate pipeline bottlenecks, leverage modern fast-paths (like Pydantic v2 and async database clients), and ensure distributed tasks scale seamlessly without hitting API limits. - Data CI/CD & Infrastructure Automation – You’ll build the "paved road" for data deployments. You’ll use Terraform to provision data resources and write automated tests to validate schemas and data quality before code ever hits our isolated staging or production catalogs. - API & Caching Integration – You’ll collaborate with product developers to expose data safely. You’ll help design and optimize the application backend tiers, backend-for-frontend (BFF) layers, and Redis caching structures that protect our core data warehouse from frontend concurrency spikes. - On-Call & Observability Triage – You’ll par

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