Senior Data Engineer (Remote)

About this role

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.

Salary

Salary range: $50,000 - $150,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

Location:

This is a
fully remote position
; however, candidates must be
based in regions that align with the Pacific,
Central, or Eastern U.S. time zones
to ensure effective collaborat...