Senior Data Engineer

November 11

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Spring & Bond

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Marketing • Healthcare • Compliance

Spring & Bond is a digital marketing agency dedicated to assisting life science brands in navigating the complex and rapidly evolving media technology and privacy landscape. The company specializes in developing and executing data-driven marketing strategies that are compliant with privacy regulations. With expertise in media buying, strategy, data privacy, compliance, and omnichannel marketing, Spring & Bond offers in-house training and development to ensure effective and compliant marketing practices. The agency is recognized for its media and programmatic capabilities, leveraging over a decade of experience to deliver significant media results for its clients. As a woman-owned business based in New York, Spring & Bond is committed to supporting healthcare marketers through insightful strategies and educational opportunities.

11 - 50 employees

Founded 2015

📋 Compliance

📋 Description

• Architect and optimize robust, scalable ETL pipelines and workflows to ingest, transform, and deliver data from multiple sources. • 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field—or equivalent experience. • 5–7+ years of experience in data engineering, with proven success building and scaling data systems. • Expert knowledge of SQL and Python, including performance optimization and data manipulation libraries (e.g., Pandas). • Strong experience with AWS data products (S3, Redshift, Athena, Lambda) and familiarity with multi-cloud environments. • Deep understanding of data modeling, schema design, and best practices for large-scale data solutions. • Demonstrated ability to design secure, reliable pipelines and troubleshoot complex issues. • Experience leading projects and mentoring other engineers. • Excellent communication, critical thinking, and problem-solving skills. • Comfortable managing multiple priorities and delivering in a fast-paced environment.

🏖️ 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