Spring & Bond is a digital media agency and consultancy seeking a Senior Data Engineer to help drive the design, build, and scale of our data infrastructure. The role will involve architecting and maintaining multi-cloud data platforms, optimizing ETL pipelines, and ensuring data quality and availability across the organization.
Requirements
- Architect and optimize robust, scalable ETL pipelines and workflows
- Ensure data integrity and governance through validation frameworks, schema design, and proactive monitoring
- Leverage advanced SQL and programming skills to extract, transform, and analyze data efficiently
- Develop automation using Python, Pandas, AWS Lambda, and related tools to improve operational efficiency
- Design and manage data platforms, including Snowflake, Athena, Redshift, BigQuery, and other cloud-based solutions
- Collaborate cross-functionally with analysts, strategists, and business leaders to translate business requirements into technical solutions
- Mentor and coach junior data engineers, setting standards for code quality, documentation, and best practices
- Lead vendor and partner integrations, ensuring seamless data delivery and alignment with internal standards
- Communicate effectively with both technical and non-technical stakeholders, providing clear insight and direction
- Drive innovation, identifying opportunities to improve performance, scalability, and usability of our data systems
Benefits
- Remote-first team environment
- Coverage for medical, dental, and vision insurance for you and your dependents
- Disability insurance plan
- Matching 401K
- Parental leave
- Other fun health & wellness perks