Data Engineer

Flex

Data Engineer at Flex designing and operating machine-learning systems for HSA/FSA eligibility. Collaborating across teams to build data solutions that drive decision-making at checkout.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonPyTorchSQL

About the role

Key responsibilities & impact

Design, build, and own the data pipelines and ML services that classify product eligibility and power downstream decisions across Flex
Model the data domain (products, merchants, eligibility rules, classifications, and outcomes) in warehouses and serving systems other teams build on
Partner with backend, product, and operations stakeholders translating merchant and consumer needs into reliable data products, models, and APIs
Own and improve the architecture of the data warehouse, transformation layer, ML training and inference systems, and real-time serving paths
Analyze, troubleshoot, and resolve production issues rooted in data quality, model accuracy, pipeline reliability, and serving latency
Collaborate on cross-functional projects connecting the full Flex experience, from consumer checkout to merchant analytics
Build and maintain evaluation harnesses, golden datasets, and observability for the models and pipelines you ship
Create and maintain documentation for data models, pipelines, and on-call runbooks
Contribute to a culture of learning, problem-solving, and operational excellence

Requirements

What you’ll need

5+ years building production data systems and pipelines in Python or a comparable typed language
Strong SQL and data-modeling fundamentals; experience with a modern cloud warehouse (Snowflake, BigQuery, Redshift, or similar) and a transformation framework like dbt
Hands-on experience deploying machine-learning models to production, owning training, inference, evaluation, and rollout, not just notebooks
Familiarity with at least one transformer-based ML framework (PyTorch + Hugging Face Transformers preferred) and a working sense of when classical or embedding-based models beat LLMs and when they don't
Resourceful, curious, and comfortable learning new tools quickly
Thrive in fast-paced, dynamic environments and enjoy wearing multiple hats
Collaborative and enjoy working across teams to solve problems
Execution mindset with focus on end users
Proficient at leveraging AI tools to ship faster

Benefits

Comp & perks

Medical, dental, and vision plans
Unlimited PTO and sick days
Paid parental leave
Flexible, remote-first environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLdata modelingmachine learningdata pipelinesdata warehousingdbttransformer-based ML frameworksPyTorchHugging Face Transformers

Soft Skills

resourcefulcuriouscollaborativeproblem-solvingexecution mindsetadaptabilitycommunicationteamworklearningdynamic environment