Senior Data Engineer
HATCH
https://www.usehatchapp.com/
Senior Data Engineer
MUST BE BASED IN NYC
No Relocation
Cannot Sponsor
About Hatch
At Hatch, we’re building AI that doesn’t just assist behind the scenes; it converses with customers out in the wild. Backed by Y Combinator and top-tier investors like Bessemer and NextView, we’re scaling fast, doubling revenue year over year, and looking for A players to help us cement our place as the category leader in AI for customer engagement.
About the Role
We are looking for a skilled, software engineering focused Senior Data Engineer to join our growing data team. You will be responsible for building, optimizing, and maintaining data pipelines and architectures that support our analytics, reporting, and AI initiatives. The ideal candidate is an experienced software engineer, capable with data analytics, data warehousing, and working with large-scale data processing systems.
Our data volume and the sophistication of our AI models are growing rapidly. To keep pace we need senior‑level engineers who can treat data systems as production software, not just analytics plumbing. If you love writing robust code, designing for scale, and operating distributed systems in production, let’s talk.
Note: This is not a business‑intelligence or analyst role. Candidates whose primary experience is building reports or dashboards will not be successful here.
Key Responsibilities
Design, build, and own scalable batch and real‑time data pipelines (Kafka/Flink/Spark, Airflow/Temporal/DBT).
Develop production‑quality services in Python or Go, with comprehensive tests, code reviews, CI/CD, and observability.
Model, partition, and tune datasets in data lakes & warehouses (Snowflake, BigQuery, Redshift), balancing performance, cost, and governance.
Collaborate with backend engineers to define data contracts and streaming interfaces between services.
Drive infrastructure‑as‑code (Terraform/Pulumi) and container orchestration (Docker/Kubernetes/EKS) for the data platform.
Establish and monitor SLOs for data quality, latency, and availability; debug incidents across the stack.
Mentor engineers, lead technical design reviews, and raise the engineering bar through clear documentation and knowledge sharing.
What We're Looking For
5+ years combined software engineering + data engineering experience, including 3+ years building production services in Go or Python,.
Proven ability to write performant, maintainable code in large codebases—beyond SQL and low‑code ETL tools.
Deep understanding of computer‑science fundamentals: data structures, algorithms, concurrency, networking, and distributed‑systems concepts.
Expertise with at least two of the following distributed data technologies: Kafka/Kinesis, Spark/Flink, ClickHouse/Trino, Iceberg/Hudi, Redis/MongoDB.
Hands‑on experience instrumenting, monitoring, and troubleshooting services in AWS or GCP (CloudWatch, Datadog, Prometheus/Grafana, etc.).
Strong SQL skills and practical knowledge of dimensional and event‑driven data modeling.
Familiarity with containerization, CI/CD pipelines, and blue‑green or canary deployments.
Excellent written and verbal communication—you explain complex systems clearly and bring others along.
Nice to Have
Experience supporting ML & LLM inference pipelines in production (vector DBs, feature stores, prompt engineering).
Exposure to event‑driven microservices, protobuf/Avro schemas, and schema‑registry governance.
Prior success in a fast‑growing startup environment where you wore multiple hats.
What We Offer
Competitive salary and equity
Remote (Eastern or Central Time Zone required) OR Hybrid work environment (3 days/week in our NYC office)
Medical, dental, and vision benefits
401(k) plan
Flexible PTO
Opportunity to build at the ground floor of a high-growth, mission-driven company
Not offering sponsorship
Why Hatch
Shape the future of AI-driven customer service
Build alongside founders and leaders who value speed, ownership, and ambition
Solve hard problems that impact real businesses and customers
Join a team of builders who care about great engineering, fast execution, and each other