Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Data systems engineer building Python pipelines and APIs for Northbeam’s marketing intelligence platform. Improving integrations, transformations, monitoring, and real-time data flows.
Responsibilities
- Build and maintain data pipelines that ingest and transform data from a variety of sources, with an eye toward reliability and maintainability
- Develop and support APIs that enable secure, tenant-aware data integrations with external systems
- Work within event-driven and batch processing architectures to keep data fresh and consistent
- Contribute to API design and integration patterns supporting real-time and batch ingestion across authentication mechanisms such as OAuth and API keys
- Add monitoring and alerting for data freshness issues, failures, and performance problems
- Improve data flows and transformations, balancing cost, efficiency, and delivery speed in a cloud-native environment
- Partner with data engineering, infrastructure, and product teams to improve the integration platform and onboard new sources
- Work with product managers, product engineers, and business leaders to turn customer needs into reliable data pipelines and products
Requirements
- 3+ years of experience in data engineering, software engineering, or integration engineering, with exposure to ETL, APIs, or data pipeline work
- Solid working proficiency in Python
- Experience building against REST APIs; familiarity with GraphQL or webhooks is a plus
- Comfort with SQL and some exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)
- Some exposure to orchestration frameworks such as Airflow, Dagster, or Prefect
- Willingness to work in a containerized environment (Docker)
- A track record of shipping steadily and asking good questions when the path isn't obvious
- Experience implementing authentication flows (OAuth 2.0, API keys, secrets management) — bonus
- Familiarity with Kubernetes or other production deployment tooling — bonus
- Experience working with ERP systems, CRMs, CDPs, or other enterprise data tools and their APIs — bonus
- Exposure to event-driven architectures and real-time data processing tools — bonus
- Awareness of data governance and compliance considerations (GDPR, SOC 2) — bonus
- Experience in a multi-tenant SaaS or data-intensive environment — bonus
Benefits
- Equity package
- Comprehensive healthcare benefits (medical, dental, and vision)
- 401(k) plan
- Flexible PTO policy
- 12 company-paid holidays
- 12 weeks of paid parental leave
- $500 work-from-home stipend
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