Data Engineer
The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company. We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data.
We’re looking for a Senior Data Engineer to help evolve our modern data stack and deliver reliable, scalable data solutions. Your work will directly power decision-making and innovation across the business—from financial operations to real-time personalization.
What You’ll Do
- Design, build, and maintain scalable data pipelines and infrastructure across batch and streaming systems.
- Own core components of Imprint’s data stack, including Snowflake, dbt Cloud, Change Data Capture frameworks, and reverse ETL integrations.
- Develop and enforce best practices in data modeling, testing, observability, and governance.
- Partner with stakeholders across Product, Analytics, Finance, and Engineering to ensure timely and accurate data delivery.
- Work on external data integrations, such as partner-facing data shares (e.g., S3, SFTP, Snowflake) and financial reporting pipelines (e.g., with Netsuite).
- Contribute to architectural decisions for how we scale data infrastructure, including schema design, orchestration, and data lineage.
- Champion clear documentation, reproducibility, and reliability for critical datasets and workflows.
- Stay informed about modern data tools and trends and help drive their adoption when appropriate.
What We Look For
- 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.
Nice to Have
- 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.
Perks & 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, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity