Data Engineer

. Build scalable and reliable data pipelines that provide accurate data feeds from internal and external systems.

Posted 5/21/2026full-timeRemote • 🌎 Anywhere in the WorldMid-LevelSeniorWebsite

Tools & technologies

AirflowCloudETLPostgresPython

Key responsibilities & impact

Build scalable and reliable data pipelines that provide accurate data feeds from internal and external systems.
Govern scalable & performant cloud-deployed production relational and non-relational databases.
Collaborate on architecture definitions, always thinking of solutions that are scalable and secure.
Drive data systems to be as near real-time as possible.
Design, document, automate and execute test plans to ensure the quality of the datasets.
Participate in the process of generating and analyzing features.

What you’ll need

Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience.
4+ years of working experience in relevant data field.
Experience building both streaming & batch data pipelines/ETL and familiarity with design principles.
Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with focus on performance and production support on native cloud deployments.
Experience with scalability solutions and multi-region replication and failover solutions.
Experience with data warehouse technologies (Trino, Clickhouse, Airflow, etc).
Deep understanding of programming and experience with at least one programming language.
English language proficiency.

Comp & perks

ATS Keywords

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Hard Skills & Tools

data pipelinesETLPythonPostgreSQLPL/pgSQLdata warehouse technologiesstreaming databatch datascalability solutionsmulti-region replication

Soft Skills

collaborationproblem-solvingdocumentationautomationquality assurance