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Senior Data Engineer (Analyst/Scientist) - Remote

Kake•Toronto, Ontario•🌍 Remote
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 10/18/2026•Expires 11/18/2026
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Job Description

Kake is a remote-first company and a people-first global community of senior engineers. Kake engineers are behind some of the world’s most innovative products (Brands you’ve heard!), from Fortune 500 to fast-growing companies. We believe it’s not where your table is, but what you bring to the table that matters. Our community spans 45,000+ engineers across 55+ countries; join a culture where great people stay, grow, and thrive (and love eating kake!). We’re looking for Senior Data Engineers with strong experience in data analysis, data science, or data engineering , skilled in turning raw data into reliable insights and scalable pipelines. It's a great fit for people who enjoy owning data problems end-to-end and collaborating closely with product and engineering teams to drive data-informed decisions. What you’ll build and own • Design, build, and maintain data pipelines and workflows that support analytics, reporting, and modelling needs. • Analyze large datasets to identify trends, patterns, and actionable insights for the business. • Build, validate, and maintain statistical or machine learning models to solve business problems. • Ensure data quality, consistency, and integrity across sources and pipelines. • Design and maintain data models, schemas, and warehouses that support scalable analytics. • Collaborate with stakeholders to translate business questions into data solutions and clear reporting. • Contribute to data best practices and continuous improvement initiatives across projects. • Participate in requirement reviews and help identify data risks early in the development process. Core Requirements • 5+ years of experience in Data Analysis, Data Science, or Data Engineering. • Strong experience with SQL and working with relational and/or NoSQL databases. • Hands-on experience with a programming language such as Python, R, or similar. • Experience building or maintaining data pipelines, ETL/ELT processes, or data warehouses. • Familiarity with data visualization tools such as Tableau, Power BI, Looker, or similar. • Ability to translate business questions into clear, data-driven analysis and recommendations. • Excellent written and verbal communication skills in English. • Ability to work independently in a remote, fast-paced environment. Nice-to-Have • Experience with big data or cloud platforms such as AWS, GCP, Azure, Snowflake, BigQuery, or similar. • Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. • Programming experience with data orchestration tools such as Airflow, dbt, or similar. • AI-forward mindset with active use of AI-assisted tools for data analysis, coding, or modelling (e.g., Claude, Copilot, Cursor). • Experience contributing to data strategy or quality initiatives at a senior level. • Comfortable working flexible hours to overlap with distributed teams across different time zones. Why Join Kake? The icing on the Kake: • Competitive Pay in USD: Work globally, get paid globally. • Fully Remote: Simply put, we trust you. • Better Me Fund: We invest in your personal growth and passions. • Compassion is Badass: Join a community that invests in social good. Quick note: Due to the high volume of applications, only shortlisted candidates will be contacted. #J-18808-Ljbffr

Required Skills

Data AnalysisData ScienceData EngineeringSQLPythonRETLELTdata warehousesdata visualizationTableauPower BILookerdata qualitydata integritydata modelsAWSGCPAzureSnowflakeBigQueryscikit-learnTensorFlowPyTorchAirflowdbtAI-assisted toolsdata strategydata quality initiativesflexible hours

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