Full-Time Senior Data Engineer
Hatch is hiring a remote Full-Time Senior Data Engineer. The career level for this job opening is Senior Manager and is accepting USA based applicants remotely. Read complete job description before applying.
Hatch
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About Hatch
At Hatch, we’re building AI that doesn’t just assist behind the scenes; it converses with customers out in the wild.
About the Role
We are looking for a skilled 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.
Key Responsibilities
Design, construct, test, and maintain scalable data pipelines and ETL processes.
Build and maintain data architectures (e.g., databases, data lakes, warehouses).
Collaborate with data analysts, data scientists, and software engineers to support data needs.
Optimize data workflows for performance and reliability.
Implement data quality, validation, and governance practices.
Integrate data from various sources, including APIs, databases, and flat files.
Maintain up-to-date documentation for data pipelines and schemas.
Monitor and troubleshoot pipeline performance and failures.
What We're Looking For
5+ years of data engineering experience, including significant time as a senior/staff engineer.
Proficiency in SQL and at least one programming language (e.g., Python, Golang, Scala).
Experience with ETL tools (e.g., Apache Airflow, Talend, DBT).
Familiarity with cloud platforms (AWS or GCP) and services like S3, Redshift, BigQuery, or Snowflake.
Experience with distributed data processing frameworks (e.g., Apache Spark, Kafka).
Strong understanding of data modeling, warehousing, and data governance best practices.
Deep expertise in one or more of the following: Python, Go, or another backend language; experience with microservices is a plus.
Solid understanding of databases (PostgreSQL, Redis, etc.) and data architecture.
Experience working closely with or supporting ML and LLM-powered systems in production.
Familiarity with ML model inference, vector databases, prompt engineering, and API integrations for LLMs.
Excellent collaboration and communication skills — you bring others along and elevate those around you.
Product-oriented mindset — you care deeply about building systems that meet real user needs.
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