Remote Senior Data Engineer

Summary

Join a dynamic team at onX, a pioneer in digital outdoor navigation, and contribute to creating scalable data pipelines and infrastructure to support analytics, machine learning, and data-driven decision-making.

Requirements

• 8+ years of experience in data engineering, with at least three years working in a cloud environment (preferably GCP)
• Expertise in GCP services, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, Cloud Functions, and Cloud SQL
• Strong proficiency in SQL and experience with writing complex queries for data extraction and analysis
• Hands-on experience with ETL development and workflow orchestration using tools like Apache Airflow
• Proficiency in one or more programming languages like Python, or Scala for data processing and pipeline development
• Experience with streaming data pipelines (e.g., using Pub/Sub, Dataflow) and batch processing
• Understanding of data warehousing concepts and experience working with large datasets and query optimization
• Knowledge of best practices in data governance, security, and compliance, particularly in a cloud environment
• Strong analytical, problem-solving, and troubleshooting skills with attention to detail
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team

Responsibilities

• Design and build scalable data pipelines using GCP services like Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer to ingest, process, and store large datasets from multiple sources
• Develop, test, and maintain data models, schemas, and ETL (Extract, Transform, Load) processes using tools like BigQuery, Cloud SQL, and Data Studio
• Collaborate with stakeholders to understand business requirements and translate them into effective data infrastructure solutions
• Optimize data pipelines for performance, scalability, and cost-efficiency using GCP-native tools such as Dataflow, Dataproc, and Bigtable
• Ensure data quality, integrity, and security by developing validation processes and enforcing best practices for data governance and access control using GCP Dataplex and Security tools
• Automate workflows and processes using Cloud Composer (Apache Airflow) to ensure data pipelines run reliably and on schedule
• Perform troubleshooting and root cause analysis on data pipelines and infrastructure issues, ensuring high availability and reliability
• Collaborate with SRE and Infrastructure teams to manage GCP resources efficiently, including compute, storage, and network resources
• Stay updated with GCP services, best practices, and emerging technologies to improve and optimize the data platform continuously

Benefits

• Competitive salaries
• Annual bonuses
• Equity
• Comprehensive health benefits including a no-monthly-cost medical plan
• Parental leave plan of 5 or 13 weeks fully paid
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays