Senior Data Engineer (Remote)

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 with strong ownership of data pipelines and architecture • Design, build, and maintain reliable ETL pipelines from the ground up • Work with large, complex datasets using Python or Java and advanced SQL • Build scalable and efficient data flows and transformations across multiple systems • Partner with data analysts, product managers, and engineers to deliver high-quality, actionable data • Ensure data quality, consistency, performance, and reliability across the data platform 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