Data Engineering Intern at Efficy supporting data management and ETL pipeline development. Collaborate with teams and contribute to the enhancement of data architecture.
About the role
- Senior Data Engineer delivering scalable data solutions in data engineering team at fintech startup. Building and maintaining data pipelines, collaborating with cross-functional teams for accurate data delivery.
Responsibilities
- 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.
Requirements
- 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.
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
- 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
- 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
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