Senior Data Engineer (Analyst/Scientist) at Kake

Confirmed open

Kake is hiring a senior data engineer (analyst/scientist) focused on data engineering, analysis and science.

Kake

Location: Remote
Advertised region: Worldwide
Work arrangement: remote
Technologies: Python, AWS, Azure, GCP, SQL, PyTorch, TensorFlow

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Role overview

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.

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.

Responsibilities

Design, build and operate production systems for data engineering, analysis and science.
Collaborate with customers and engineering stakeholders on reliable delivery.
Improve performance, testing, automation, documentation and observability.
Translate complex requirements into maintainable software and data platforms.

Qualifications

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.
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.

Technology in this role

Python: Python AWS Azure GCP SQL PyTorch .
AWS: Python AWS Azure GCP SQL PyTorch .
Azure: Python AWS Azure GCP SQL PyTorch .
GCP: Python AWS Azure GCP SQL PyTorch .
SQL: Python AWS Azure GCP SQL PyTorch .
PyTorch: Python AWS Azure GCP SQL PyTorch .
TensorFlow: Python AWS Azure GCP SQL PyTorch .
R: Hands on experience with a programming language such as Python, R, or .
Airflow: • Programming experience with data orchestration tools such as Airflow, dbt, or .
Snowflake: • Experience with big data or cloud platforms such as AWS, GCP, Azure, Snowflake, BigQuery, or .
dbt: • Programming experience with data orchestration tools such as Airflow, dbt, or .
scikit-learn: • Experience with machine learning frameworks such as scikit-learn, TensorFlow, or .
BigQuery: • Experience with big data or cloud platforms such as AWS, GCP, Azure, Snowflake, BigQuery, or .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Senior Data Engineer (Analyst/Scientist) position at Kake is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Senior Data Engineer (Analyst/Scientist) - Remote” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and.

Benefits

Worldwide work arrangement as stated in the official posting.
Opportunity to work on software, data and cloud engineering projects.

About Kake

Kake describes itself as a remote-first community of experienced software engineers that helps client teams add individual engineers or full engineering groups. Its model combines technical vetting and human selection with AI-supported processes; Kake engineers work as dedicated members of client teams rather than as a separate outsourced delivery queue.

The company recruits across frontend, backend, mobile, quality engineering, data and DevOps. Its public hiring pages emphasize end-to-end ownership, collaboration with product and design, and engineering judgment. The exact client, product, team structure and employment terms can vary by opening, so candidates should verify those specifics in the individual listing.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-11-08

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