Spring & Bond-posted about 1 month ago
Full-time • Mid Level
Remote • New York, NY
11-50 employees

Spring & Bond is a digital media agency and consultancy helping pharmaceutical and medical device manufacturers build robust, omnichannel-enabled media executions for both HCP and consumer audiences. Our focus is on client empowerment through services like customer journey planning, media strategy & activation, technology evaluation, in-house capability development, and training. We are looking for a Senior Data Engineer to help drive the design, build, and scale of our data infrastructure. This role will be responsible for architecting and maintaining multi-cloud data platforms, optimizing ETL pipelines, and ensuring data quality and availability across the organization. As a senior member of the Data Engineering team, you will not only deliver hands-on technical solutions but also mentor junior engineers, guide best practices, and help shape the direction of our data engineering capabilities.

  • 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.
  • 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.
  • Experience with data transformation and productivity tools (dbt, Jinja, etc.).
  • Familiarity with Snowflake (Notebooks, Worksheets, VS Code plugin).
  • Knowledge of data visualization platforms such as Looker Studio or similar BI tools.
  • Exposure to digital marketing analytics and measurement frameworks.
  • 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
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