Senior Data Engineer (Remote)

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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.