Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and manage production-quality data pipelines that integrate marketing data, event tracking, and additional sources into Databricks.

• Create robust data models that link campaign and channel exposure to website interactions, leads, bookings, completed scans, revenue, and repeat activities.

• Collaborate with Marketing, Product, Engineering, Privacy, and Security teams on event taxonomy, identity resolution, consent-aware data flows, and source system agreements.

• Enhance the quality of conversion and attribution data across both online and sales-assisted journeys.

• Deliver dependable downstream signals for supported media and lifecycle platforms.

• Establish automated procedures for testing, freshness monitoring, alerting, lineage tracking, and incident management for essential Growth data products.

• Substitute fragile custom transformations and manual processes with well-documented, reusable, and peer-reviewed code.

• Contribute to the Growth measures and dimensions within the governed semantic layer.

• Evaluate technical outputs, share insights, and elevate team standards.

⛳️ Requirements

• A minimum of 4 years of experience in data engineering, analytics engineering, or a closely related data field.

• Proficient in SQL with strong skills in Python.

• Proven experience in building maintainable production data pipelines.

• Practical experience with a cloud data platform and modern transformation frameworks.

• Familiarity with ingestion and orchestration tools such as Fivetran or Apache Airflow.

• Knowledge of monitoring, dependency management, schema modifications, failure recovery, and data quality controls.

• Experience integrating APIs, SaaS systems, event data, and operational databases into analytical platforms.

• In-depth understanding of data modeling, orchestration, testing, observability, version control, code review, and continuous delivery methodologies.

• Capability to balance speed, privacy, and long-term sustainability.

• Experience collaborating with Marketing, Product, Engineering, Analytics, and various business stakeholders.

• Must be legally authorized to work in the United States at the time of hiring.

• Should not require employer sponsorship for current or future work visas.

• Experience with Databricks and dbt is highly preferred.

• Familiarity with Salesforce, PostHog, Google Analytics, Google Tag Manager, Iterable, Workato, or reverse data movement tools is advantageous.

• Understanding of conversion APIs, server-side signaling, UTM and click identifier flows, or media platform integrations is a plus.

• Experience in healthcare, regulated environments, or handling privacy-sensitive customer data is beneficial.

• Experience with event taxonomy and behavioral data contracts is a plus.

• Successful applicants must complete a background check.

🏝️ Benefits

• Make a positive impact on individuals' lives and their health.

• Complimentary whole-body scans for every team member.

• Opportunities for growth and flexible career trajectories.

• Weekly team gatherings for connection, sharing, and socialization.

• Flexible vacation policy.

• Commuter Benefits Plan covering transit and parking expenses.

• 401(k) plan with company contributions for US employees.

• Comprehensive health, dental, vision, and mental health coverage.