Remote Data Engineer at CloudDevs

Open for talents from LATAM, Canada, Europe, EMEA and Asia

CloudDevs is helping world-class, venture-backed startups build and scale their data infrastructure. You will be employed by one of these startups and play an integral role in their early-stage growth.

Minimum qualifications:

Strong experience in designing, building, and maintaining data pipelines (ETL/ELT).
Solid skills with one or more data processing frameworks (e.g., Spark, Flink, Beam, Airflow).
Experience working with both batch and streaming data.
Proficiency in SQL and relational databases, plus familiarity with NoSQL/data warehouses (e.g. BigQuery, Redshift, Snowflake).
Knowledge of data modelling principles, schema design, and performance optimization.
Comfortable working with cloud platforms (AWS / GCP / Azure) and their data services.
Strong and confident communicator in English.
Strong problem solver.
Comfortable with collaboration and open communication across distributed teams.

Duties and responsibilities include:

Design, build, and maintain robust, scalable data pipelines.
Process large datasets, both in batch and real-time.
Collaborate with product owners, data scientists, and engineering teams to ensure data needs are clearly understood and met.
Ensure data quality and integrity: implement testing, monitoring, and alerting around data flows.
Optimize performance: query speed, storage costs, resource usage.
Maintain documentation of data schemas, pipelines, and architecture.

Looking for a different tech stack?
We work on multiple projects for Senior Data Engineers, Fullstack developers, Front-end engineers, backend-engineers. If you have over four years of commercial experience, we'd be eager to connect and match you with an appropriate role. Simply apply, and we'll provide all the details.

If your background aligns with our requirements, here’s the process: