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Data Engineer

Withflex · United States · Remote · Active · Ashby

Job facts

FieldValue
CompanyWithflex
TitleData Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Withflex.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWithflex
Source163057c6-88d2-49a7-aea1-5164dcd3f6d9
ATS providerAshby

Description

About Flex Flex addresses a critical problem: enabling health and wellness brands to accept HSA and FSA payments online. Backed by First Round, Core VC, and Rethink Capital, the company powers checkout for brands like Equinox, Dermstore, Therabody, and Ultrahuman. The platform verifies product eligibility in real time, manages split payments, and issues Letters of Medical Necessity at checkout. With $150 billion in annual HSA/FSA spending potential, Flex unlocks new revenue opportunities for merchants and simplifies benefit usage for consumers. About the Role The company seeks a Data Engineer to design and operate the data and machine-learning systems that determine HSA/FSA eligibility at scale: the pipelines, models, and APIs that turn raw merchant catalogs into structured, classified, decision-ready data at checkout. You'll partner with backend, product, and operations stakeholders to build the systems that move every eligibility decision Flex makes. This role suits those thriving in ambiguity, taking initiative, and excited about building at an early-stage company.     Responsibilities (What You'll Do) 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     Qualifications (Who You Are) 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     Nice to Have Experience with serverless compute platforms for data and ML workloads (Modal, Ray, AWS Lambda, GCP Cloud Run, or similar) Production experience with vector databases and embedding-based retrieval Self-hosted LLM inference experience (vLLM, TGI, SGLang) and a working sense of GPU economics Background in payments, fintech, or health benefits (HSA/FSA), or another regulated, money-moving domain Experience building or maintaining a golden-dataset evaluation harness for an ML system Comfort reading and contributing to a Rust-based backend that consumes your APIs     Why Join Flex A mission-driven team making healthcare spending effortless Early-stage impact: your work directly shapes growth and success Collaborative, high-trust, and transparent culture Competitive compensation and equity package Flexible, remote-friendly work environment     Compensation & Benefits Salary: $160K to $220K Equity: Offers Equity Additional Benefits: Medical, dental, and vision plans Unlimited PTO and sick days Paid parental leave Flexible, remote-first environment     Equal Opportunity Flex is an equal opportunity employer encouraging applicants from all backgrounds and life experiences. The company celebrates diversity and does not discriminate based on race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, veteran status, disability status, or any other legally protected characteristic.

Full job record

Job IDca268f271ccf80fb4a9e215e9c0c3ebdecdc428c
Org IDa808bc43-4252-4a4e-994d-57cf8f706376
Source ID163057c6-88d2-49a7-aea1-5164dcd3f6d9
Board ID163057c6-88d2-49a7-aea1-5164dcd3f6d9
Providerashby
Provider Job Keyc5b0b615-2776-47d3-89d6-8f23453946be
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/withflex/c5b0b615-2776-47d3-89d6-8f23453946be
Apply URLhttps://jobs.ashbyhq.com/withflex/c5b0b615-2776-47d3-89d6-8f23453946be/application
First Seen At2026-05-29 05:16:07Z
Last Seen At2026-06-06 19:26:03Z
Last Checked At2026-06-06 19:26:03Z
Last Changed At2026-05-29 05:16:07Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=withflex/date=2026-06-06/2026-06-06T19-26-02-259Z-f19b05913bac004af82131fb29635480fda0c454e8135c089d5ce166d2b60d80.json
Event Fields
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  "last_changed_at": "2026-05-29T05:16:07.467Z",
  "active_status": "active"
}
Parsed Structured
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    "is_remote": true,
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  "launch_scope": {
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}
Extensions
{}
Native Structured
{
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  "team": "Engineering",
  "title": "Data Engineer",
  "jobUrl": "https://jobs.ashbyhq.com/withflex/c5b0b615-2776-47d3-89d6-8f23453946be",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/withflex/c5b0b615-2776-47d3-89d6-8f23453946be/application",
  "isListed": true,
  "isRemote": true,
  "location": "United States",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/ca268f271ccf80fb4a9e215e9c0c3ebdecdc428c?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/a808bc43-4252-4a4e-994d-57cf8f706376JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/163057c6-88d2-49a7-aea1-5164dcd3f6d9JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/ca268f271ccf80fb4a9e215e9c0c3ebdecdc428c/eventsJSON