Senior Data Engineer (Remote)

What We're Working OnWe 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 DoJoin the team as a Senior-Level Data EngineerDesign, build, and maintain reliable ETL pipelines from the ground upWork with large, complex datasets using Python or Java and raw SQLBuild scalable, efficient data flows and transformationsCollaborate with data analysts, product managers, and developers to deliver actionable data to stakeholdersEnsure data quality, consistency, and performance across systemsWhat We’re Looking For7+ years of experience as a Data EngineerStrong skills in Python or Java for data processingProficient in SQL, especially for querying large datasetsExperience with batch and/or stream data processing pipelinesFamiliarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)Knowledge of data modeling, normalization, and performance optimizationComfortable working in agile, collaborative, and fully remote environmentsFluent in English (spoken and written)Nice to Have (Not Required)Experience with Airflow, Kafka, or similar orchestration/message toolsExposure to basic data governance or privacy standardsUnit testing and CI/CD pipelines for data workflowsThis 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 Latin America (LATAM). While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours, which are primarily aligned with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with project teams.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