Lead, Data Engineer

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October 30

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Boldr

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B2B • Outsourcing • SaaS

Boldr is a global company that specializes in managed outsourcing and global employment services. The company prides itself on being a certified B Corporation, focusing on ethical outsourcing by building teams that are an extension of the client's brand. Boldr provides a wide array of services including customer experience support, engineering, data, and technical services, primarily targeting industries such as eCommerce and SaaS. It is committed to creating circular value for its clients, careers of its team members, and the communities it operates in, aligning with principles of social sustainability and impact. With a strong emphasis on creating a sense of purpose and belonging, Boldr offers expertise in global recruiting, onboarding, and performance management, supporting over 100 client partners globally.

501 - 1000 employees

🤝 B2B

☁️ SaaS

📋 Description

• Design, implement, and maintain scalable ETL/ELT pipelines to process both internal and client data. • Ensure data is clean, accurate, and readily available for analysts and business stakeholders. • Optimize pipelines for efficiency, performance, and reliability. • Troubleshoot and resolve data pipeline and workflow issues promptly. • Contribute to enhancing the data platform, including database design, schema optimization, and data integration. • Implement and maintain data quality checks, monitoring, and error handling. • Document data sources, transformations, and standards to ensure clarity and maintainability. • Mentor junior engineers, providing guidance on coding, problem-solving, and best practices. • Conduct code reviews to ensure high-quality deliverables and adherence to standards. • Collaborate with analysts, engineers, and business teams to understand requirements and provide actionable solutions. • Facilitate cross-functional access to data and support stakeholders in using data effectively. • Identify and implement process improvements to streamline data workflows. • Automate repetitive tasks and optimize existing pipelines. • Explore new technologies and tools to enhance data capabilities. • Partner with product, engineering, and business teams to translate business needs into data requirements. • Support reporting and analytics initiatives to help stakeholders make data-driven decisions. • Advocate for best practices in data governance, security, and compliance.

🎯 Requirements

• 6+ years in data engineering or related roles. • 2+ years mentoring or guiding junior engineers. • Hands-on experience with ETL/ELT pipelines, data platforms, and cloud tools (Airflow, Snowflake, Athena, Glue, Postgres). • Strong programming skills (SQL, Python, or other relevant languages). • Familiarity with cloud platforms (AWS, GCP, Azure), APIs, and data warehousing.