About City Light Capital

This role sits within Machine Labs, an AI start-up that we have incubated within City Light Capital, and reports to the Head of Product.

City Light is a venture capital firm that invests early in mission-driven companies creating measurable, scalable impact in education, care, and climate. As one of the first firms to define “impact investing” as both a moral and financial mandate, we back founders building solutions that not only perform — but make the world meaningfully better.

Our portfolio includes companies like 2U, ShotSpotter, Bicycle Health, OhmConnect, and Headspace Health. We are a small, high-caliber team that believes better data drives better investing — and that great infrastructure underpins meaningful insight.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location: New York Preferred, US-remote considered.

Why this role

Small, senior team → real ownership and fast iteration
Clear mandate → reliability, quality, and speed over vanity projects
Greenfield meets production → extend a working platform, not a blank slate

What you’ll do

Maintain and scale batch data pipelines in Python + SQL
Add new sources (APIs, files, warehouses) with robust data contracts
Implement data validation and quality checks (we prefer Pandera; open to GE/dbt tests)
Build observability for pipelines (alerts, SLAs/SLOs, lineage, cost visibility, oTel)
Contribute to modeling in dbt/SQL and help us evolve best practices
Work with founding team & clients to keep data reliable, documented, and auditable
Improve CI for data (tests, type checks) and pragmatic infra (Docker/IaC-lite)

What you’ll bring

1–4+ years as a Data Engineer (startup experience a plus)
Strong Python and SQL; production code quality (tests, typing, packaging)
Hands-on with dbt and a modern warehouse (Databricks preferred; Snowflake/others okay)
Experience with an orchestrator (Dagster preferred; Airflow/Prefect okay) or clear ability to learn fast
Opinionated about data quality (Pandera/GE/dbt tests) and observability
Comfortable owning reliability and cost discipline; bias for action

Nice-to-haves

Spark/Databricks, Polars, MLflow, streaming (Kafka/Kinesis)
Security & governance basics (secrets, PII handling, access patterns)

30/60/90 (signals of success)

30d: Shipping small pipeline fixes, adding tests, and instrumenting alerts
60d: Owning 1–2 critical pipelines end-to-end; standardizing validation on a chosen framework
90d: Driving a measurable reliability/cost improvement; leading the blueprint for dbt modeling scale-out

City Light is an equal opportunity employer. Compensation will be considered on an individual basis, taking into account factors such as experience and expertise. The total compensation range for this position is anticipated to be between $85,000 and $110,000.

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Highlights include:

Health & wellness: Medical, dental, and vision coverage
Life & protection: Disability, life insurance
Leave & flexibility: Generous paid time off, parental leave, flexible scheduling

Interested individuals should submit a cover letter and resume through Workable.

City Light remote jobs

Analyst

Data Engineer