Data Engineer

About The Company
Kake is a remote-first organization that fosters a people-centric global community of senior engineers. With a focus on innovation and collaboration, Kake engineers have contributed to some of the world’s most recognizable products, serving clients ranging from Fortune 500 companies to fast-growing startups. The company values diversity, expertise, and a culture of continuous growth, emphasizing that it’s not where you sit but what you bring to the table that truly matters. With a community spanning over 45,000 engineers across more than 55 countries, Kake offers a dynamic environment where talented professionals can thrive, grow their skills, and enjoy a supportive network of peers.
About The Role
The Senior Data Engineer role at Kake is designed for experienced professionals who excel in data analysis, data science, or data engineering. This position involves transforming raw data into reliable insights and scalable data pipelines that support analytics, reporting, and modeling needs. The ideal candidate will take ownership of data solutions from end-to-end, working closely with product and engineering teams to enable data-driven decision-making. This role offers the opportunity to work remotely in a flexible environment, engaging in complex data projects that impact strategic business outcomes. You will be instrumental in designing, building, and maintaining robust data architectures, ensuring data quality, and fostering best practices across the organization.
Qualifications
The ideal candidate will possess over five years of experience in data analysis, data science, or data engineering. Strong proficiency in SQL and experience working with relational and NoSQL databases are essential. Hands-on experience with programming languages such as Python, R, or similar is required, along with a solid understanding of building and maintaining data pipelines, ETL/ELT processes, and data warehouses. Familiarity with data visualization tools like Tableau, Power BI, or Looker is highly desirable. Candidates should demonstrate the ability to translate complex business questions into clear, actionable insights and possess excellent communication skills in English. The ability to work autonomously in a fast-paced, remote environment is crucial for success in this role.
Responsibilities
Design, develop, and maintain scalable data pipelines and workflows that support analytics, reporting, and machine learning models.
Analyze large datasets to identify trends, patterns, and actionable insights that inform business strategies.
Build, validate, and oversee statistical and machine learning models to address specific business challenges.
Ensure the integrity, accuracy, and consistency of data across multiple sources and pipelines.
Design and optimize data models, schemas, and warehouses to facilitate efficient data retrieval and analysis.
Collaborate with cross-functional teams and stakeholders to understand business needs and translate them into effective data solutions and reports.
Contribute to the development and enforcement of data best practices, standards, and continuous improvement initiatives.
Participate in requirement reviews, identify potential data risks early, and implement mitigation strategies.
Benefits
Kake offers a comprehensive benefits package designed to support your professional and personal growth. Employees enjoy competitive pay in USD, reflecting the global nature of the organization. The company operates fully remotely, trusting employees to manage their work in a flexible environment. Kake also invests in individual development through the Better Me Fund, supporting passions and personal growth initiatives. The organization fosters a community-oriented culture that emphasizes social good and compassion, making it a rewarding place to build a career. Additional perks include flexible working hours to accommodate different time zones and a collaborative environment that values innovation and inclusivity.
Equal Opportunity
Kake is committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We are proud to be an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. Our goal is to build a diverse workforce that reflects the communities we serve and fosters a culture of collaboration, innovation, and mutual respect.

Work arrangement
Yes