Data engineer

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.

• 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.

• 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.
• Будет плюсом: 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

• Fully Remote: Simply put, we trust you.
• Competitive Pay in USD: Work globally, get paid globally.
• Better Me Fund: We invest in your personal growth and passions.
• Compassion is Badass: Join a community that invests in social good.