Synthlane Technologies
Google Cloud Data Engineer
Remote data engineer building end-to-end data platforms on Google Cloud for Google partners and their North American clients, often in regulated sectors. Day to day: designing reliable pipelines, data models and secure, region-bound data systems using SQL and Python.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3–10 years of data engineering experience
- Hands-on Google Cloud experience
- Excellent SQL skills
- Strong Python skills
- Deep understanding of how data systems work underneath (speed and cost)
- Build pipelines that stay correct with late, duplicated or messy data
- Data modeling that stays clear and fast as data grows
- Cloud networking and security knowledge to keep data inside its boundaries
- Explain trade-offs clearly to clients and take ownership of outcomes
- 6 hours of overlap with North American Eastern time
Nice to have
- Professional Google Cloud certification
Full description
This is a remote position.
About the role
Synthlane builds data platforms on Google Cloud for Google partners and their clients in North America. Many of these clients work in regulated sectors, where data must stay accurate, governed and in the right region. You will design and build those platforms end to end.
What strong looks like here
- You understand how data systems work underneath, and you know what makes them fast, slow or expensive.
- You write excellent SQL and strong Python.
- You build pipelines that stay correct when the data is late, duplicated or messy.
- You model data so it stays clear and fast as it grows.
- You know enough about cloud networking and security to keep data inside its boundaries.
- You explain trade-offs clearly to clients, and you take ownership of the outcome.
Experience
- 3–10 years of data engineering, with hands-on Google Cloud work. We value depth over years.
- 6 hours of overlap with North American Eastern time.
Nice to have
- A Professional Google Cloud certification.
You will enjoy this role if
- You like making messy data reliable.
- You want to build platforms that clients depend on every day.
What you get
- Direct work on Google-referred projects, alongside Google Cloud teams.
- Large-scale data work across many industries.
Type: Remote, contract or full time.