---
title: 'Backend Engineer — Data Pipeline at Sunset'
canonical: 'https://feeny.ai/job/backend-engineer-data-pipeline-sunset-new-york-7m4vpnmw1btz'
type: 'job'
last_seen: '2026-09-11'
---

# Backend Engineer — Data Pipeline at Sunset

- **Company:** Sunset
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/sunset/edd8772c-2c9a-4cb2-8ff3-88707b01f177

## Job description

## About Sunset

At its core, Sunset was founded to help founders. We started by supporting startups through shutting down, but we have since expanded into unlocking a new revenue stream for all types of businesses. In 2025, we had a unique insight: the data every company generates each day through collaboration, communication, and building is some of the most valuable training data in the world. Public and synthetic data can only get frontier models so far, so the next generation of model progress depends on real, proprietary data grounded in how actual businesses operate. We are a primary source of it, partnering directly with the frontier AI labs building what comes next.

## Why Join Sunset Now

- We have scaled from $0 to a multi-eight-figure run rate in a matter of months
- We have raised from top-tier investors, including Floodgate, Afore, Ludlow, and Hustle Fund
- We are small enough that you will carry outsized responsibility and grow as quickly as the company does
- You will partner with and build for some of the fastest and most important companies in the world
- You will help build a massive, category-defining business from the ground floor

## The Role

We're hiring a backend engineer to make the pipeline that de-identifies sensitive enterprise data correct, replayable, operable, and safe to change. This is not a conventional data-platform role where a successful job is enough. A pipeline can finish while silently dropping records, duplicating output, applying stale policy, losing lineage, or producing evidence that cannot establish whether a dataset is safe to release. You will own the backend systems and contracts that make those failure modes visible, preventable, and recoverable. You will work across asynchronous orchestration, batch workers, queues, object storage, databases, many file formats, model-backed stages, deterministic verification, and human review. The role is backend-focused, but the outcome is a product and delivery promise: the team must know what ran, what changed, what remains uncertain, and what can safely happen next.

## What You'll Own

- Design and ship backend systems for multi-stage, high-volume data processing
- Define authoritative, versioned contracts for manifests, artifacts, lineage, and state transitions
- Make retries, checkpoints, partial failures, replay, backfills, migrations, and rollbacks safe and understandable
- Build independent reconciliation and verification instead of treating job success as proof of correct output
- Turn escaped and recurring failures into fixtures, regression coverage, release gates, and durable recovery paths
- Expose trustworthy run state and safe controls to the products people use to investigate and release data
- Diagnose production behavior across code, queues, stores, artifacts, data formats, and deployed versions
- Improve correctness, throughput, and operating leverage without weakening privacy, security, or release confidence
- Use AI deeply in development and in bounded verification systems, with explicit evaluation and independent checks
- Partner with machine learning, applied science, full-stack product, platform, security, and data engineering teammates

What Success Looks Like

- A high-risk pipeline boundary has an explicit contract, independent reconciliation, replayable coverage, and safe recovery
- Missing, duplicated, stale, or incompatible work is detected before it becomes a customer delivery
- Material pipeline state and release decisions are backed by queryable provenance and audit evidence
- Recurring reruns, manual interventions, and diagnosis or recovery time decline
- Adjacent engineers can add stages and checks through supported patterns instead of one-off scripts and implicit storage conventions
- Pipeline changes can be rolled out, backfilled, quarantined, or reversed without delivery heroics

You Might Thrive Here If

- You have at least three years of professional software engineering experience, including personal ownership of production backend systems
- You are strong in asynchronous or distributed systems and can reason precisely about queues, concurrency, state, storage, idempotency, partial failure, and recovery
- You have worked on systems where output could be materially wrong even when every service looked healthy
- You define invariants and use reconciliation, control totals, diffs, replay, goldens, shadow paths, or independent sources to verify correctness
- You can design versioned data and artifact contracts and migrate them safely in a live system
- You debug from evidence across system boundaries and turn incidents into durable system improvements
- You choose technical work based on operator and customer consequences, not architecture in isolation
- You use modern AI engineering tools fluently, verify their output, and know when model-backed checks need deterministic guardrails and human review
- You communicate clearly across product, ML, data, platform, security, and customer-facing teams

This Role May Not Be for You If

- You want to focus primarily on frontend product development or visual craft
- You treat pipeline success, uptime, latency, or a green dashboard as sufficient evidence that the output is correct
- You prefer isolated infrastructure work without responsibility for data and delivery consequences
- You solve partial failure primarily with retries and manual runbooks
- You do not want AI tools to be part of your daily engineering workflow

Bonus

- Experience with large-scale batch processing, workflow orchestration, event-driven systems, or data movement
- Experience with schema evolution, manifests, lineage, CDC, migrations, reindexing, or backfills
- Experience in payments, ledgers, reconciliation, claims, fraud, identity, search quality, observability, or another domain with delayed or weak ground truth
- Experience with sensitive or multi-tenant data, least-privilege systems, auditability, quarantine, and fail-closed release paths
- Experience combining deterministic checks, synthetic fixtures, offline replay, model-based judges, and human review
- Experience with Python, AWS, Airflow, Batch, SQS, S3, DynamoDB, PostgreSQL, or comparable systems

## About Sunset

## Company Overview
- **One-liner**: Sunset is the first purpose-built platform that handles all legal, tax, and operational work to wind down venture-backed startups cleanly and quickly.
- **Entity Type**: Private (Pre-Seed & Venture funded)
- **Headquarters**: New York, New York, United States
- **Founded**: 2023
- **Founders**: Brendan Mahony (Founder & CEO)

## Core Business
- **Primary Industry**: Startup wind-downs / Dissolution services (legal, tax, and operational)
- **Target Customers**: B2B; founders and investors of venture-backed startups that are shutting down
- **Mission/Purpose**: To give founders the freedom to find what's next by removing the burden of the shutdown process.

## Products & Services
- **End-to-End Wind-Down Platform**: A fully managed service combining a purpose-built software platform with a dedicated team (attorneys, CPAs, Client Success leads) to handle legal, tax, and operational tasks. This includes state withdrawals, asset monetization (selling, auctioning, licensing IP), investor distributions (building waterfalls, collecting banking info, executing capital redistribution), and filing all final federal and state tax returns. [sunsethq.com](https://sunsethq.com/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric (Funding)**: **$7.9M** total funding across two rounds:
    - Pre-Seed (Jan 2024): **$1.5M**
    - Venture Round (May 2025): **$6.4M** [linkedin.com](https://www.linkedin.com/company/sunsethq)
- **Key Metric (Scale)**: Has helped **over 175+** venture-backed startups shut down; has redistributed **hundreds of millions of dollars** back to investors. [builtin.com](https://builtin.com/company/sunset-0), [sunsethq.com](https://sunsethq.com/)
- **Notable Investors/Partners**: Backed by Y Combinator and some of the world’s best entrepreneurs and investors. [sunsethq.com](https://sunsethq.com/about)
- **Growth Signals**: 11 employees with +13.9% YoY headcount growth; active job postings for Data Engineer, ML Engineer, and Client Success Manager. [linkedin.com](https://www.linkedin.com/company/sunsethq)

## Competitive Advantages
- **Category-Defining Platform**: Sunset is the first company to build a dedicated, integrated platform (software + expert team) specifically for startup wind-downs, solving a problem that was previously handled ad-hoc by generalist lawyers and accountants.
- **End-to-End, Fully Managed Service**: They handle every aspect of the dissolution—legal, tax, asset monetization, and capital distribution—in one place with one fee, saving founders months of time and significant personal cost.
- **Deep Founder Empathy**: Founded by Brendan Mahony after his own painful, 7-month dissolution experience. This mission-driven origin creates a strong, empathetic culture focused on helping founders during a difficult time. [sunsethq.com](https://sunsethq.com/about)
- **Strong Traction with Top-Tier Clients**: Having served over 175 venture-backed startups and redistributed hundreds of millions to investors, they have built significant credibility and trust in the startup ecosystem.

## Strategic Focus
- **Scaling the Platform**: Investing in engineering (Data Engineer, ML Engineer roles) to further automate and streamline the wind-down process.
- **Deepening Service Offerings**: Continuing to refine the legal, tax, and asset monetization workflows to ensure the fastest, most efficient, and highest-value return for investors.
- **Becoming the Standard**: Establishing Sunset as the default, go-to service for any venture-backed startup facing a shutdown, thereby creating a standard for an industry that previously had none.

## Why Work Here
- **High-Impact Mission**: Employees directly help founders through one of the most difficult moments of their careers, providing closure and allowing them to move on. The work is deeply meaningful and has a tangible, positive impact on people’s lives.
- **Strong Values-Driven Culture**: Core values include "Carry each other," "Be the painkiller," "Make it world-class," "Swing big, learn fast," and "Keep your promises," fostering a supportive, empathetic, and high-performance environment. [sunsethq.com](https://sunsethq.com/careers)
- **Growth Stage Company**: As a small but growing team (11 people), employees have outsized impact and ownership. The company is generating revenue and has raised significant funding, indicating a strong trajectory.
- **Work Environment**: On-site in New York City with an open-door policy, open office floor plan, and an engineering team that utilizes pair programming. [builtin.com](https://builtin.com/company/sunset-0)
- **Benefits**: Offers company equity, generous PTO (unlimited policy), paid holidays, and health/vision/dental insurance. [builtin.com](https://builtin.com/company/sunset-0)
- **Tech Stack**: Modern and robust, including JavaScript, TypeScript, Ruby on Rails, React, Remix, PostgreSQL, Redis, and Azure. [builtin.com](https://builtin.com/company/sunset-0)

## Sources
1. [sunsethq.com](https://sunsethq.com/)
2. [sunsethq.com/careers](https://sunsethq.com/careers)
3. [sunsethq.com/about](https://sunsethq.com/about)
4. [linkedin.com/company/sunsethq](https://www.linkedin.com/company/sunsethq)
5. [builtin.com/company/sunset-0](https://builtin.com/company/sunset-0)

## Other roles at Sunset

- [Security Lead](https://feeny.ai/job/security-lead-sunset-new-york-6vgygry650b6) — New York, NY
- [Platform Engineer](https://feeny.ai/job/platform-engineer-sunset-new-york-tjxkj0jzd1ts) — New York, NY
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-sunset-new-york-4hpwv6ybfsk5) — New York, NY
- [Engineering Manager](https://feeny.ai/job/engineering-manager-sunset-new-york-e0vrwgg97akb) — New York, NY
- [Design Engineer](https://feeny.ai/job/design-engineer-sunset-new-york-nj7k67c09en7) — New York, NY
- [Data Scientist](https://feeny.ai/job/data-scientist-sunset-new-york-9rqm51n50pf9) — New York, NY
- [AI Product Engineer](https://feeny.ai/job/ai-product-engineer-sunset-new-york-n8f4zqtcafxf) — New York, NY
- [Full-Stack Product Engineer](https://feeny.ai/job/full-stack-product-engineer-sunset-new-york-dj4a73d25w0d) — New York, NY
- [GTM Engineer](https://feeny.ai/job/gtm-engineer-sunset-new-york-r3wr42whx92v) — New York, NY
- [Growth Marketer](https://feeny.ai/job/growth-marketer-sunset-new-york-rs2h7qxaev58) — New York, NY