4 дня назад
Senior Data Engineer
165 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Databricks/Python): Building reliable, scalable data products and production-grade pipelines that connect Growth and Marketing data to a trusted enterprise view with an accent on data modeling, privacy-aware identity resolution, and observability. Focus on designing attribution and conversion data flows, integrating SaaS and event sources, and ensuring data quality through automated testing, lineage, monitoring, and incident response.
Location: Remote, USA. Applicants must be legally authorized to work in the United States and must not require current or future visa sponsorship.
Salary: $165,000–$185,000 annually in local currency, depending on experience.
Company
Develops whole-body MRI scanning technology and patient-centered healthcare services focused on proactive and preventative care.
What you will do
- Design, build, and own production-grade data pipelines connecting marketing data, event tracking, and other sources to Databricks.
- Create durable data models linking campaign and channel exposure with website behavior, leads, bookings, completed scans, revenue, and repeat activity.
- Partner with Marketing, Product, Engineering, Privacy, and Security on event taxonomy, identity resolution, consent-aware data flows, and source-system contracts.
- Improve conversion and attribution data quality across online and sales-assisted journeys, including downstream signals for media and lifecycle platforms.
- Implement automated testing, freshness monitoring, alerting, lineage, and incident response for critical Growth data products.
- Contribute governed Growth measures and dimensions while replacing fragile transformations and manual workarounds with documented, reusable code.
Requirements
- At least four years of experience in data engineering, analytics engineering, or a closely related data role.
- Advanced SQL and strong Python skills, with experience building maintainable production data pipelines.
- Hands-on experience with a cloud data platform and modern transformation framework; Databricks and dbt are strongly preferred.
- Experience operating pipelines with ingestion and orchestration tools such as Fivetran or Apache Airflow, including monitoring, dependency management, schema changes, failure recovery, and data quality controls.
- Experience integrating APIs, SaaS systems, event data, and operational databases into analytical platforms, with knowledge of data modeling, testing, observability, version control, code review, and continuous delivery.
- Must be legally authorized to work in the United States without employer visa sponsorship.
Nice to have
- Experience with Salesforce, PostHog, Google Analytics, Google Tag Manager, Iterable, Workato, or reverse data movement tools.
- Familiarity with conversion APIs, server-side signaling, UTM and click identifier flows, or media platform integrations.
- Experience in healthcare, regulated environments, privacy-sensitive customer data, event taxonomies, or behavioral data contracts.
Culture & Benefits
- Mission-driven work focused on proactive healthcare and patient impact.
- Free whole-body scans for team members.
- Growth opportunities and flexible career development.
- Weekly team gatherings for connection and socializing.
- Flexible vacation policy.
- Health, dental, vision, and mental health coverage, plus a 401(k) plan without current employer matching contributions.
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