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Databento

Technical Support Engineer (L1/Frontline Support)

Remote / Boston / Salt Lake City / San Francisco / New York

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hirly's read of this role

Role family
Customer support
Seniority
Mid level
Country
US
Work mode
Remote-friendly
First seen by hirly
14 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

This role sits squarely at L1 : you’ll be the first point of contact for customer issues, responsible for understanding the problem, resolving common and well-documented cases, and escalating more complex issues to senior support or engineering with clear reproduction steps and context.

Responsibilities

Act as the first point of contact for customer support inquiries, resolving common customer issues related to API usage, onboarding, authentication, integration, and billing.

Escalate issues to L2/L3 support or engineering while maintaining accurate ticket status, reproduction steps, and logs.

Identify recurring questions and contribute improvements to documentation, FAQs, and onboarding materials.

Write technical content on occasion, including tutorials, how-to guides, and blog posts that help developers get the most out of our APIs.

Help manage and grow our online developer communities (Slack, Reddit, etc.) by answering questions and surfacing feedback.

What we typically look for

Prior experience with Databento's API is strongly preferred, as well as familiarity with financial trading and/or market data.

At least 2 years of experience in technical support, QA, or engineering.

Working proficiency in Python.

Experience with troubleshooting tools (Wireshark, tcpdump, ss, nc, telnet, strace, gdb, perf, eBPF, lsof, curl, xxd, jq, SQL) is a plus.

Experience with observability tools (Grafana, Prometheus, Loki, Sentry) is a plus.

Strong technical communication skills. DevRel experience (e.g. managing Discord communities, creating technical blog posts, podcasts, videos, etc) is a plus.

Experience at an early-stage startup is a plus.

Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

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Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Original posting on Databento's site ↗

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