Full-Time Senior Data Engineer

About AllTrailsAllTrails is the most trusted outdoors platform. We help people explore the outdoors with hand-curated trail maps, photos, reviews, and user recordings.

What You'll Be Doing:

• Work cross-functionally to ensure data scientists have access to clean, reliable, secure data.
• Build, deploy, and orchestrate large-scale batch and stream data pipelines.
• Deliver scalable, testable, maintainable, and high-quality code.
• Investigate, test, monitor, and alert on data inconsistencies.
• Create tools to improve data and model discoverability and documentation.
• Ensure data collection adheres to GDPR and other privacy requirements.
• Uphold best data-quality standards.
• Deploy and build systems for machine learning and AI product solutions.
• Mentoring others on best industry practices.

Requirements:

• Minimum 6 years of data engineering experience.
• Expertise in SQL and Python.
• Proficient in working with stakeholders.
• Proficiency with high-volume datasets in SQL-based warehouses (e.g., BigQuery).
• Proficiency with parallelized Python-based data processing frameworks (e.g., Google Dataflow, Apache Spark).
• Experience with ELT tools (e.g., Dataform, dbt).
• Experience maintaining data systems in GCP and AWS.
• Deep understanding of data modeling, access, storage, caching, replication, and optimization.
• Experienced with orchestrating data pipelines and Kubernetes-based jobs (e.g., Apache Airflow).
• Understanding of the software development lifecycle and CI/CD.
• Monitoring and metrics-gathering (e.g., Datadog, NewRelic, Cloudwatch).
• Willingness to participate in on-call support.
• Proficiency with Git and collaborative coding.
• Excellent documentation skills.
• Self-motivation and pride in work.
• Passion for the outdoors.
• Comfort with ambiguity.
• Humility, empathy, and open-mindedness.

Bonus Points:

• Experience in a multi-cloud environment.
• Experience with GIS, H3, or other mapping technologies.
• Experience with Amplitude.
• Experience with infrastructure-as-code (e.g., Terraform).
• Experience with machine learning frameworks and platforms (e.g., VertexAI, SageMaker).

What We Offer:

• Competitive compensation
• Health, dental, vision benefits
• Trail days
• Unlimited PTO
• Flexible parental leave
• Remote employee equipment stipend
• Annual continuing education stipend
• Discounts on subscriptions and merchandise

Salary: $170,000 - $210,000 per year

What is the last date for applying to the job?

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