Data Engineer

🕒 May 27

🇺🇸 United States – Remote

💵 $160k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Flex

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

Flex is a SaaS payments infrastructure company that enables merchants and brands to accept HSA/FSA and other health-benefit payments. Its API-first platform integrates with e-commerce platforms (Shopify, WooCommerce, etc. ) and supports complex flows like split-card payments, subscriptions, eligibility verification, automated Letters of Medical Necessity, and enterprise-scale reporting to boost conversion and average order value. Flex is aimed at health, wellness and fitness brands that want to unlock pre-tax benefit spend at checkout while staying compliant.

📋 Description

• 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

• 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

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