About us:

Spring & Bond is a digital media agency and consultancy specializing in helping pharmaceutical and medical device manufacturers create robust, omnichannel media strategies for both healthcare professionals (HCPs) and consumer audiences. We emphasize transparency and client empowerment through comprehensive services, including customer journey planning, media strategy and activation, technology evaluation, in-house capability development, and training.

What You'll Do:

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.

Your Responsibilities:

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.

Your Qualifications:

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.

Great-to-Haves:

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.

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

Spring & Bond is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Spring & Bond is a woman-owned business.

Not everyone will match the above qualifications 100%. If your experiences don’t perfectly align, but you think you’d be a great addition to our team, we’d still love to hear from you.

Compensation Range: $120K - $160K

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Senior Data Engineer

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