Data Engineer, Data Trust & Governance Labs
About the role
Build pipelines where lineage and classification matter as much as speed. You will engineer the data platforms behind our analytics, AI and privacy products.
What you'll do
- Build and operate batch and streaming pipelines with strong lineage and quality controls
- Implement data classification, retention and privacy rules in code
- Support ML teams with reliable, well-documented datasets
- Optimise storage and compute costs across our hybrid environment
What you'll bring
- 3+ years in data engineering
- Strong SQL and Python; experience with Spark, dbt or Kafka
- Good English communication skills
Nice to have
- Experience with Snowflake or Databricks
- Exposure to privacy engineering
Compensation
US$69,000 – US$83,000 per year
Gross annual salary (before tax) in US dollars, paid in AMD through our Employer of Record partner.
Where you land in the range depends on your experience and skills, not on how well you negotiate.
Working at Moraph
We build and operate software for credit unions, hospitals and government agencies, where a failure means a regulatory breach or a patient-safety incident. We work as one team across New York, London, Sydney, Buenos Aires, Yerevan, Mumbai, Manila and more, on the same tools and to the same standards. Everyone gets the same high-spec laptop, software and security tooling, whichever office they work from.
This role is employed through Moraph's Employer of Record partner in Armenia, which handles local payroll, benefits and employment compliance. You will work full time on Moraph's team, report to a Moraph manager, and use Moraph's tools and equipment, exactly like colleagues hired directly.
Moraph is an equal opportunity employer. We welcome applicants of every background and provide reasonable accommodations throughout the hiring process. Email careers@moraph.com if you need one.