Senior Data Engineer
Senior Data Engineer at Pontera, a fintech helping retirement savers manage 401(k) accounts with financial advisors. Builds data pipelines, semantic models and AI agents/automated workflows using SQL, Python, dbt and Snowflake for Sales, Marketing, RevOps and Customer Success. Hybrid NYC individual-contributor role.
- Compensation
- $180K–$220K / yr
- Location
- New York, New York, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years of experience in data engineering, analytics engineering or a closely related role with ownership of production data pipelines and models
- Strong SQL and Python skills
- Experience with cloud data warehouses
- Solid understanding of dimensional modeling, ELT, API integrations and data quality
- Practical experience building an AI agent, LLM application or automated workflow using real data, including evaluation and learning from failures
- Uses AI tools in own development and can recognize when their output needs correction
- Strong business judgment and ability to learn unfamiliar processes quickly; explain tradeoffs to technical and non-technical colleagues
- Experience helping others adopt new tools or practices through mentoring, training, documentation or direct support
- Ownership mindset: take work from discovery through implementation and ongoing improvement
Nice to have
- Hands-on experience with Snowflake and DBT
- Experience with semantic layers or conversational analytics
- Experience with Snowflake Cortex or similar agent tooling
- Experience with GTM systems such as Salesforce, Gong or Zendesk
- Experience in B2B SaaS or fintech
Full description
Pontera is a fintech company on a mission to help people retire better. Our software platform enables retirement savers to get the help they need managing their 401(k) and other retirement plan accounts as part of a personalized strategy by their trusted financial advisor.
Pontera is used by financial advisors across the nation– from SMB to Fortune 500 RIA firms, independent broker-dealers, plan custodians, and plan advisors.
Backed by leading venture capital firms including ICONIQ Growth and Lightspeed Venture Partners, Pontera is built by talented individuals who share a dedication to helping people retire with greater security.
Our team is fast-growing and driven to become one of the largest fintech companies in the world. Our culture is built on a people-first principle: in a complex and numbers-driven industry, we never lose sight of the people we serve and work alongside. That’s where you come in.
DESCRIPTION
We are looking for a Senior Data Engineer to build the data foundation and AI tools that help teams across Pontera work more effectively. You will build reliable pipelines, develop semantic models that make business data understandable to people and AI agents, and turn that foundation into useful applications and automated workflows.
You will work directly with our Data and go-to-market teams, including Sales, Marketing, RevOps and Customer Success. This is a hands-on individual contributor role with the autonomy to shape solutions and see their impact in everyday business use.
About the Team
We have moved from traditional, dashboard-led BI to conversational analytics. Business teams across Pontera use our agents to explore data, ask follow-up questions and get answers independently, within their access permissions. We are now taking the next step: building automated workflows that help colleagues act on those insights and complete work with less manual effort.
Data has become a central partner to the business. From customer support copilots to sales intelligence and client preparation, we build for practical value: better decisions, time back for business teams and stronger outcomes.
AI adoption and literacy are high within the team. We work with Snowflake, dbt, Fivetran and use AI tools like Claude and Cortex Code (CoCo) throughout development, investigation and problem-solving. We continually share what we learn and help colleagues across the company use AI confidently and effectively through hands-on enablement, reusable tools and ongoing support.
We are a team of strong, independent individual contributors who own their work from understanding the problem through delivery and adoption. We also share context, review each other's work and help one another get past obstacles. Everyone is encouraged to contribute ideas, question assumptions and influence decisions. We value different backgrounds and perspectives, make room for respectful disagreement and expect people to listen as thoughtfully as they speak.