What We're Working On
We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries.
What You’ll Do
* Join the team as a Senior-Level Data Engineer
* Design, build, and maintain reliable ETL pipelines from the ground up
* Work with large, complex datasets using Python or Java and raw SQL
* Build scalable, efficient data flows and transformations
* Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders
* Ensure data quality, consistency, and performance across systems
What We’re Looking For
* 7+ years of experience as a Data Engineer
* Strong skills in Python or Java for data processing
* Proficient in SQL, especially for querying large datasets
* Experience with batch and/or stream data processing pipelines
* Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
* Knowledge of data modeling, normalization, and performance optimization
* Comfortable working in agile, collaborative, and fully remote environments
* Fluent in English (spoken and written)
Nice to Have (Not Required)
* Experience with Airflow, Kafka, or similar orchestration/message tools
* Exposure to basic data governance or privacy standards
* Unit testing and CI/CD pipelines for data workflows
This job is 100% Remote – please ensure you have a comfortable home office setup in your preferred work location.
This is a fully remote position open to candidates based in Europe or regions with compatible time zones. To ensure effective collaboration with our client and team, candidates must maintain a 6-hour overlap with Eastern U.S. business hours.
This is an evergreen opening with no set deadline; we’re always excited to connect with professionals who want to help us build the future