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.This is an evergreen role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.What Youll DoJoin the team as a senior-level Data Engineer with strong ownership of data pipelines and architectureDesign, build, and maintain reliable ETL pipelines from the ground upWork with large, complex datasets using Python or Java and advanced SQLBuild scalable and efficient data flows and transformations across multiple systemsPartner with data analysts, product managers, and engineers to deliver high-quality, actionable dataEnsure data quality, consistency, performance, and reliability across the data platformWhat Were 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.Salary range: CA$69,000 - CA$200,000 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 collaboration with client and team schedules.In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:Flexible working hours in a remote environment.Health insurance (medical and dental) for T4 Employees.A professional development fund to enhance your skills and knowledge.15 days of paid time off annually.Access to soft-skill development courses to further your career.This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.Application DeadlineThis role is an evergreen position with no predetermined start date. Applications will be accepted until April 30, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals. #J-18808-Ljbffr
Job Title
Senior Data Engineer (Remote)