Data engineer

Kake; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully Remote

Competitive Pay in USD

Better Me Fund

Compassion is Badass

Job summary

Kake, a remote-first company with a global community of engineers, is seeking Senior Data Engineers to transform raw data into reliable insights and scalable pipelines. You will work with SQL and Python to build end-to-end data solutions, collaborating with stakeholders across time zones to deliver measurable business impact.

Join a people-first team distributed across 55+ countries, with opportunities to work remotely and grow within a supportive, AI-forward environment.

Qualifications

• 5+ years of experience in Data Analysis, Data Science, or Data Engineering.
• Strong experience with SQL and relational and/or NoSQL databases.
• Hands-on programming with 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.
• Excellent English communication skills.

Responsibilities

• Design, build, and maintain data pipelines and workflows for analytics, reporting, and modelling.
• Analyze large datasets to identify trends and actionable insights for the business.
• Build 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 scalable analytics.
• Collaborate with stakeholders to translate questions into data solutions and reporting.
• Contribute to data best practices and data quality initiatives.

Skills

SQL

Data Analysis

Data Science

Data Engineering

Python

English Communication

Remote Work

Tools

Tableau

Power BI

Looker

Job description

Описание:

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.

Задачи:

• 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.

Требования:

• 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

Условия:

• 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.