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Senior Data Engineer (Remote)

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About AllTrails

AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers, and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 75 million people worldwide.

Every day, we solve incredibly hard problems so that we can get more people outside having healthy, authentic experiences and a deeper appreciation of the outdoors. Join us!

This is a U.S.-based remote position. San Francisco Bay Area employees are highly encouraged to come into the office one day a week.

What You’ll Be Doing:

5+ years of experience working in data engineering
Expertise in using both SQL and Python for data cleansing, transformation, modeling, pipelining, etc.
Proficiency in working with high volume datasets in SQL-based warehouses such as BigQuery, Redshift, Snowflake, or others, preferably using ELT tools like Dataform or dbt
Experience with parallelized data processing frameworks such as Google Dataflow, Apache Spark, etc.
Proficiency in working with other stakeholders and converting requirements into detailed technical specifications; owning projects from inception to completion
Deep understanding of data modeling, access, storage, caching, replication, and optimization techniques
Ability to orchestrate data pipelines through tools such as Apache Airflow
Experienced in container and pod orchestration (e.g. Docker, Kubernetes)Understanding of the software development lifecycle and CI/CD
Monitoring and metrics-gathering (e.g. Datadog, NewRelic, Cloudwatch, etc)
Proficiency with git and working collaboratively in a shared codebase
Willingness to participate in an on-call support rotation - currently the rotation is monthly
Self motivation and a deep sense of pride in your workPassion for the outdoors
Comfort with ambiguity, and an instinct for moving quickly
Humility, empathy and open-mindedness - no egos

Requirements:

Proficient in working with other stakeholders and converting requirements into detailed technical specifications; owning projects from inception to completion
Expertise both in using SQL and Python for data cleansing, transformation, modeling, pipelining, etc.
Proficiency in working with high volume datasets in SQL-based warehouses such as BigQuery, Redshift, Snowflake, or others, preferably using ELT tools like Dataform or dbt
Experience with parallelized data processing frameworks such as Google Dataflow, Apache Spark, etc.
Deep understanding of data modeling, access, storage, caching, replication, and optimization techniques
Ability to orchestrate data pipelines through tools such as Apache Airflow
Experienced in container and pod orchestration (e.g. Docker, Kubernetes)
Understanding of the software development lifecycle and CI/CD
Monitoring and metrics-gathering (e.g. Datadog, NewRelic, Cloudwatch, etc)
Willingness to participate in an on-call support rotation - currently the rotation is monthly
Proficiency with git and working collaboratively in a shared codebase
Excellent documentation skills
Self motivation and a deep sense of pride in your work
Passion for the outdoors
Comfort with ambiguity, and an instinct for moving quickly
Humility, empathy and open-mindedness - no egos

Bonus Points:

Experience working in a multi-cloud environment
Experience working with a data stack in Google Cloud Platform
Experience with Amplitude
Experience with infrastructure-as-code, such as Terraform
Experience with machine learning frameworks and platforms such as VertexAI, SageMaker, MLFlow, or related frameworks

What We Offer:

A competitive and equitable compensation plan. This is a full-time, salaried position that includes equity
Physical & mental well-being including health, dental and vision benefits
Trail Days: No meetings first Friday of each month to go test the app and explore new trails!
Unlimited PTO
Flexible parental leave
Remote employee equipment stipend to create a great remote work environment
Annual continuing education stipend
Discounts on subscription and merchandise for you and your friends & family
An authentic investment in you as a human being and your career as a professional

$170,000 - $210,000 a year

The successful candidate’s starting salary will be determined based on various factors such as skills, experience, training and credentials, as well as other business purposes or needs. It is not typical for a candidate to be hired at or near the top of the range of their role and compensation decisions are dependent on the factors and circumstances of each case.

Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.

AllTrails participates in the E-Verify program for all remote locations.

By submitting my application, I acknowledge and agree to AllTrails' Job Applicant Privacy Notice.

AllTrails Glassdoor Company Review

4.1

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CEO of AllTrails

Ron Schneidermann

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Average salary estimate

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What You Should Know About Senior Data Engineer (Remote), AllTrails

Are you ready to embark on an exciting journey with AllTrails as a Senior Data Engineer? At AllTrails, we are the go-to platform for outdoor enthusiasts, helping over 75 million people explore the beauty of nature through detailed trail maps and user-generated content. As a Senior Data Engineer, your role will enhance our ability to curate and manage vast datasets, ensuring our community has the best information at their fingertips. You’ll leverage your expertise in SQL and Python for data cleansing, transformation, and modeling across various SQL-based warehouses like BigQuery and Snowflake, while building powerful data pipelines using Apache Airflow and other tools. If you have a knack for converting requirements into technical specifications and enjoy collaborating with stakeholders, you’ll fit right in! Your experience with frameworks like Google Dataflow and container orchestration with Docker and Kubernetes will help transform our data processing capabilities. Here at AllTrails, we value self-motivation, a passion for the outdoors, and the ability to handle ambiguity. From unlimited PTO to trail days dedicated to exploring new trails, we prioritize work-life balance and personal growth. Ready to make an impact on our mission and join a diverse and inclusive workspace? Apply now and take your next step with AllTrails!

Frequently Asked Questions (FAQs) for Senior Data Engineer (Remote) Role at AllTrails

What qualifications are needed for the Senior Data Engineer role at AllTrails?

To excel as a Senior Data Engineer at AllTrails, candidates should have over 5 years of experience in data engineering, with a strong proficiency in SQL and Python. Expertise in SQL-based warehouses like BigQuery, Redshift, or Snowflake and familiarity with data processing frameworks such as Google Dataflow or Apache Spark is required. This role also demands a deep understanding of data modeling and experience in orchestrating data pipelines with tools like Apache Airflow.