{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"(Senior )Data Engineer/Analytics","description":"

Who We Are

We asked ourselves — What if better care didn’t cost more? That’s why we built Vitable: the health benefits platform making healthcare better for employers of everyday workers. We bring accessible, high-quality care to over 85 million uninsured and underinsured Americans. Unlike traditional options, our suite of health benefits is designed with real people at the center.

Vitable empowers businesses to become better employers by making it easy to offer healthcare benefits to their teams. It's a better experience for employees and a smarter solution for employers.

Simply put, we’re built for better.

We’re growing rapidly and looking for eager team members who are hungry for change and passionate about delivering better care to the everyday worker. Does that sound like you?

We are seeking a highly skilled and experienced (Senior) Data Engineer / Analytics Engineer to join our growing team. This role is ideal for someone who enjoys building scalable data systems, partnering cross-functionally, and elevating data maturity across an organization. You will design, build, and maintain our data pipelines, models, and infrastructure while ensuring high reliability, data quality, and strong alignment with business needs.

What You'll Do

Set Vision & Partner With the Business

Work closely with Product, Engineering, Clinical, Operations, and Finance teams to understand data requirements and translate them into scalable solutions
Assess our current data environment, identify gaps, and recommend improvements to support long-term growth.

Architect & Build Data Infrastructure

Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
Build and manage our data models and transformations using dbt with strong testing and documentation practices.
Implement best-in-class data governance, quality checks, lineage, and observability.

Hands-On Execution

Write production-grade Python/SQL, debug complex issues, improve pipeline performance, and ensure data accuracy and reliability.
Work across multiple data sources and systems, integrating internal and external data as needed.

Technical Leadership & Best Practices

Contribute to architectural decisions, technology selection, and data engineering standards.
Help mentor and support future data team members as we scale.
Advocate for data-driven decision making across the organization.

Cross-Functional Impact

Build metrics and dashboards that support critical business needs, including operational insights, clinical analytics, funnel conversion, cost modeling, and financial reporting.
Ensure data requirements are incorporated early into product and operations workflows to reduce rework and improve adoption.
Partner with Security/Compliance to ensure data processes meet SOC2 and HIPAA-adjacent requirements.

What We're Looking For

Experience & Technical Strength

5+ years of data engineering or analytics engineering experience designing and maintaining scalable, reliable data solutions.
Strong proficiency with dbt and modern ELT workflows.
Extensive experience with ETL/ELT techniques (batch + streaming).
Expertise with cloud platforms such as AWS (S3, Redshift, Glue, Lambda), GCP (BigQuery, Dataflow, Cloud Storage), or Azure.
Strong programming skills in Python (preferred) or Java.
Deep SQL proficiency across relational and NoSQL systems.

Professional Qualities

Excellent communication skills with the ability to translate technical concepts into straightforward business insights.
Strong problem-solving skills and the ability to work independently with ambiguity.
Proven ability to lead technical initiatives and influence systems and process improvements.

Education

Bachelor’s or Master’s in Computer Science, Engineering, or a related field (or equivalent experience).

Bonus Points

Experience with data governance, quality frameworks, or metadata management tools.
Familiarity with Docker, Kubernetes, or containerized workflows.
Experience with Infrastructure as Code (Terraform, CDK).
Experience supporting SOC2 or HIPAA compliance.
Experience with BI tools (Metabase, Looker, Tableau, Power BI).
Experience preparing datasets for ML use cases.

Benefits and Perks

100% Silver Plan + Full Medical Coverage
Dental and Vision Coverage
401(k) and Life Insurance
Access to Vitable’s Primary Care membership
Unlimited PTO
Remote-first culture with a supportive team
MacBook and any other gear you need
Mentorship opportunities through First Round Capital
Home office setup stipend
Competitive equity package

Who Thrives Here

You care. About people, about purpose, about doing work that matters.

You’re the kind of person who sees a broken system and asks, “How can I fix this?” You’re not afraid of a challenge—in fact, you’re energized by it. You move fast, but you think things through. You don’t just get things done, you get the right things done.

At Vitable, we thrive on autonomy and collaboration. That means you have the space to own your work, make smart decisions, and lead with initiative, but you also know when to pull others in, ask questions, and work as a team.

You’ll fit right in if you’re:

Motivated by mission
Someone who gets sh*t done (and does it well)
Curious, thoughtful, and clear on your “why”
A self-starter who can figure things out
Empathetic, honest, and genuinely care about others
Collaborative, but confident in working independently
Hungry for change—and ready to help make it happen

We care deeply about the people we serve, and we care about our team just as much. We support each other, we show up with heart, and we have fun while we do it.

No egos, no jerks. Just good humans doing great work.

Inclusion at Vitable

Vitable is an equal opportunity employer. We celebrate diverse backgrounds, perspectives, and experiences—and we’re committed to building a team that reflects the people we serve.

If you’re excited about this role but your background doesn’t match every requirement, we still encourage you to apply. We care more about potential and passion than checking every box.

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