Senior Data Engineer (Analyst/Scientist) - Remote

Job summary

Design, build, and maintain data pipelines, workflows, models, schemas, and warehouses that support analytics, reporting, and business needs. Analyze large datasets, ensure data quality, translate stakeholder questions into actionable insights, and contribute to data best practices and risk reviews.

Job details

Senior Data Engineer (Analyst/Scientist) - Remote 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. Ready for your piece of the Kake? Apply now! Quick note: Due to the high volume of applications, only shortlisted candidates will be contacted.

What you’ll do

Design, build, and maintain data pipelines, workflows, models, schemas, and warehouses that support analytics, reporting, and business needs. Analyze large datasets, ensure data quality, translate stakeholder questions into actionable insights, and contribute to data best practices and risk reviews.

Requirements

Requires at least five years of experience in data analysis, data science, or data engineering, with strong SQL and database experience, programming skills in Python, R, or similar, and experience with pipelines or data warehouses. Candidates should be familiar with visualization tools, communicate effectively in English, and work independently in a remote environment; cloud platforms, machine learning frameworks, orchestration tools, and AI-assisted tools are advantageous.

Benefits

• Competitive Pay in USD
• Fully Remote
• Personal Growth Fund
• Social Good Initiatives

Listed skills

• Data visualization · Preferred
• SQL · Preferred
• Data analysis · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Analysis
• Data Science
• Data Engineering
• SQL
• Python
• R
• Data Pipelines
• ETL/ELT
• Data Warehousing
• Relational Databases
• NoSQL Databases
• Data Visualization
• Statistical Modeling
• Machine Learning
• Data Quality
• Stakeholder Collaboration

Job areas

• Data & Analytics
• Technology
• Software
• Science & Research

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