Senior Data Engineer (Analyst/Scientist) - Remote

Kake; Vancouver; Remote; CAD 168,000 - 253,000; Full time

Benefits offered by this job

Competitive USD pay

Fully remote

Better Me Fund

Social good community

Job summary

Kake is a remote-first company building a global community of senior engineers. We are looking for Senior Data Engineers to own data analysis, data science, and data engineering tasks, turning raw data into reliable insights and scalable pipelines.

You will design, build, and maintain data pipelines, analyze large datasets, and develop models to solve business problems while collaborating with product and engineering teams to drive data-informed decisions.

Qualifications

• 5+ years of experience in Data Analysis, Data Science, or Data Engineering.
• Strong experience with SQL and NoSQL databases.
• Hands-on with Python, R, or similar.
• Experience building or maintaining data pipelines, ETL/ELT, or data warehouses.
• Familiarity with Tableau, Power BI, Looker, or similar.
• Translate business questions into data-driven analysis and recommendations.
• Excellent written and verbal English.
• Ability to work independently in a remote environment.

Responsibilities

• Design, build, and maintain data pipelines and workflows for analytics and reporting.
• Analyze large datasets to identify trends and actionable insights.
• Build, validate, and maintain statistical or ML models to solve business problems.
• Ensure data quality, consistency, and integrity across sources and pipelines.
• Design and maintain data models, schemas, and warehouses for analytics.
• Collaborate with stakeholders to translate questions into data solutions and clear reporting.
• Contribute to data best practices and continuous improvement across projects.
• Identify data risks early in the development process.

Skills

Data analysis

SQL

NoSQL

Python/R

ETL/ELT

Data visualization

English comms

Remote work

Tools

Tableau

Power BI

Looker

Airflow

dbt

Snowflake

BigQuery

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?

• 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.