Data Engineer

About The Company

Kake is a remote-first organization and a global community dedicated to connecting senior engineers around the world. With a focus on fostering a people-first culture, Kake has built a vibrant network of over 45,000 engineers spanning more than 55 countries. The company has contributed to some of the most innovative products used by major brands and startups alike, emphasizing that success is driven by the quality of talent and ideas rather than location. At Kake, we believe in creating an environment where talented professionals can grow, collaborate, and make a meaningful impact while enjoying the community and culture we cultivate. Our commitment to diversity, continuous learning, and social good makes us a unique place for experienced engineers to advance their careers while making a difference.

About The Role

We are seeking a highly skilled Senior Data Engineer to join our remote team. This role is ideal for professionals with extensive experience in data analysis, data science, or data engineering who are passionate about transforming raw data into actionable insights. As a Senior Data Engineer at Kake, you will be responsible for designing, developing, and maintaining scalable data pipelines, workflows, and data models that support analytics, reporting, and machine learning initiatives. You will work closely with cross-functional teams, including product managers, analysts, and engineers, to translate complex business questions into effective data solutions. Your expertise will help drive data-driven decision-making across the organization, ensuring high data quality and integrity while fostering best practices in data management and analysis.

Qualifications

The ideal candidate will possess at least five years of experience in data analysis, data science, or data engineering, with a strong background in SQL and working with relational or NoSQL databases. Proficiency in programming languages such as Python, R, or similar is essential, along with hands-on experience building and maintaining data pipelines, ETL/ELT processes, and data warehouses. Familiarity with data visualization tools like Tableau, Power BI, or Looker is required to effectively communicate insights. Excellent communication skills in English, both written and verbal, are necessary to collaborate with diverse teams. The ability to work independently in a fast-paced, remote environment is crucial for success in this role.

Responsibilities

• Design, develop, and maintain robust data pipelines and workflows that support analytics, reporting, and modeling needs.
• Analyze large datasets to identify trends, patterns, and actionable insights that inform business strategies.
• Build, validate, and maintain statistical or machine learning models to address complex business problems.
• Ensure data quality, consistency, and integrity across multiple sources and pipelines.
• Design and optimize data models, schemas, and data warehouses to support scalable analytics solutions.
• Collaborate with stakeholders to understand business requirements and translate them into effective data solutions and reports.
• Participate in data governance, best practices, and continuous improvement initiatives across projects.
• Identify potential data risks early in the development process and implement mitigation strategies.
  
  

Benefits

Joining Kake offers numerous advantages, including competitive compensation paid in USD, enabling you to work and get paid on a global scale. The company is fully remote, trusting employees to manage their work independently while providing a flexible environment. We invest in your personal growth through our Better Me Fund, supporting your passions and development goals. Additionally, Kake fosters a community-oriented culture that values social good and compassion, making your work meaningful and impactful. You will also have the opportunity to collaborate with a diverse, talented global team, broadening your professional network and experience.

Equal Opportunity

Kake is committed to creating an inclusive and diverse work environment. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected status. We believe that diverse perspectives and backgrounds strengthen our community and drive innovation. All qualified candidates are encouraged to apply, and we look forward to welcoming talented professionals who share our values and vision.