Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Airflow @ 4
Data Engineering
Data Modeling @ 6
Data Pipelines @ 4
GitHub
Go @ 4
Mathematics
Python @ 4
SQL @ 6
Snowflake @ 4
Statistics
dbt @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Teleport is the AI Infrastructure Identity Company, building cryptographically secured identity for humans, machines, workloads, and AI agents. The company is remote-first and globally distributed.
The Data Engineer will be Teleport's first Data Engineer, responsible for building the internal data platform. This includes designing and owning pipelines and a warehouse that transform product usage, production costs, budgets, sales, and other company data into reliable, self-serve datasets.
Responsibilities
- Design and build data pipelines that ingest data from internal sources into a central warehouse.
- Design performant, well-documented data models and schemas that can evolve as data and analytical requirements change.
- Build data quality checks and validation into every stage of the pipeline.
- Handle sensitive customer and user data responsibly, including access control, redaction, and retention policies.
- Partner with product, engineering, finance, revenue, and other stakeholders to scope data sources and analytical tables.
- Help teams gain self-serve access to the data they need.
- Collaborate with Teleport engineers on a coding challenge in SQL and Go during the interview process.
Requirements
- Builder mentality and experience building zero-to-one products.
- Expertise in data modeling and SQL.
- Extensive experience building data pipelines in Python or Go.
- Experience with a cloud data warehouse such as Snowflake, BigQuery, Redshift, or a similar platform.
- Experience with pipeline orchestration or transformation tooling.
- Experience handling sensitive data, including access control and data retention practices.
- Intellectual curiosity and willingness to learn new technologies.
- Comfort changing areas of focus and working directly with stakeholders across the company.
- Collaborative, transparent, no-ego mindset and willingness to seek feedback.
Nice to Have
- Go is your language of choice.
- Background in mathematics or statistics.
- Knowledge of Airflow, dbt, or similar tools.
Interview Process
- Zoom meeting with a Teleport recruiter.
- Zoom meeting with the hiring manager, including an overview of the coding challenge.
- Collaboration on a SQL and Go coding challenge using GitHub. The challenge usually takes about two weeks and concludes with a solution review.
- Offer if the challenge solution meets Teleport's requirements.
Benefits
- Extensive health coverage.
- Annual expense budget.
- Rest and recovery policies.
- Retirement savings plans.
- Professional development opportunities.
Teleport is an equal opportunity employer. Candidate personal data is handled according to Teleport's Job Applicant Privacy Policy and Notice of Collection.
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