Senior Data Engineer
Imprinta year ago
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RemoteFull-time6+ yearsSenior
Summary
Imprint is seeking a Data Engineer to join their team remotely. The role involves building and scaling data infrastructure to support product development, analytics, operations, and machine learning.
About the Role
As a Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure across batch and streaming systems. You will own core components of Imprint’s data stack, including Snowflake, dbt Cloud, Change Data Capture frameworks, and reverse ETL integrations. Your responsibilities include developing best practices in data modeling, testing, observability, and governance, and partnering with stakeholders across Product, Analytics, Finance, and Engineering to ensure timely and accurate data delivery. You will also work on external data integrations and contribute to architectural decisions for scaling data infrastructure.
About You
Required:
- 6+ years of experience in data engineering, analytics engineering, or related roles.
- Expertise in Snowflake and dbt Cloud, with a strong understanding of dimensional modeling and data warehouse best practices.
- Experience working with Change Data Capture (e.g., Fivetran, Hevo), ETL/ELT pipelines, and orchestration frameworks (e.g., dbt Cloud, Airflow).
- Familiarity with reverse ETL tools like Hightouch or Segment, and operational analytics use cases.
- Strong SQL skills and proficiency in Python or a similar programming language.
- A track record of technical ownership and shipping production-grade data systems.
- A detail-oriented mindset and a passion for building clean, maintainable, and observable data systems.
- Strong communication skills and the ability to collaborate effectively with cross-functional partners.
Preferred:
- Experience in fintech, high-growth startups, or customer-facing data products.
- Familiarity with event streaming technologies like Kafka or Kinesis.
- Exposure to data governance, security, or compliance practices.
- Previous work on ML pipelines or experimentation frameworks.
Benefits
- Competitive compensation and equity packages.
- Leading configured work computers of your choice.
- Flexible paid time off.
- Fully covered, high-quality healthcare, including fully covered dependent coverage.
- Additional health coverage includes access to One Medical and the option to enroll in an FSA.
- 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents.
- An understanding that successful hybrid work requires flexibility and an appreciation for asynchronous work.
- Access to industry-leading technology across all of our business units.