Data Engineer, Machine Learning (Remote)

What You’ll Be Doing:

• Deploy and build systems that enable machine learning and artificial intelligence product solutions
• Work cross-functionally to ensure data scientists have access to clean, reliable, and secure data, the backbone for new algorithmic product features
• Build, deploy, and orchestrate large-scale batch and stream data pipelines to transform and move data to/from our data warehouse and third-party systems
• Deliver scalable, testable, maintainable, and high-quality code
• Investigate, test-for, monitor, and alert on inconsistencies in our data, data systems, or processing costs
• Create tools to improve data and model discoverability and documentation
• Ensure data collection and storage adheres to GDPR and other privacy and legal compliance requirements
• Uphold best data-quality standards and practices, promoting such knowledge throughout the organization

Requirements:

• Expertise in Python for data cleansing, transformation, modeling, etc.
• Professional experience in transforming machine-learning prototypes into solutions that scale with real-world constraints and deploying them into production
• Proficiency with SQL and experience working with high volume datasets in SQL-based warehouses such as BigQuery, Redshift, Snowflake, or others
• Experience with parallelized data processing frameworks such as Apache Beam, Apache Spark, Google Dataflow, AWS Glue, 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 orchestration (e.g. Docker)
• Understanding of the software development lifecycle and CI/CD
• Monitoring and metrics-gathering (e.g. Datadog, NewRelic, Cloudwatch, etc)
• Proficiency with git and working on 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 with machine learning development frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience with machine learning workflow management frameworks such as MLFlow, KubeFlow, SageMaker, Neptune, or related frameworks
• Experience with GPU-optimized data processing (i.e. CUDA)
• Experience with infrastructure-as-code, such as Terraform
• Experience with ELT tools such as dbt or Dataform

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: First Friday of each month off to hit the trails!
• Unlimited PTO.
• Flexible parental leave.
• Annual continuing education stipend.
• Discounts on subscriptions and merchandise for you and your friends & family.
• An authentic investment in you as a human being and your career as a professional.