Remote Data Engineer

Summary

Join Lonely Planet as a Data Engineer and build data products powering machine learning and analytics for a globally recognized travel brand. You will work in a high-autonomy environment using AWS and Spark/Scala via Databricks. Responsibilities include building and maintaining ETL pipelines, collaborating with cross-functional teams, contributing to the data engineering stack, and ensuring data quality. This role requires 3+ years of experience in data engineering/ETL, strong Spark skills (Scala or Python), AWS experience, and proficiency in SQL. The ideal candidate will also possess experience with data modeling, schema design, and NoSQL databases. Competitive salary and benefits are offered.

Requirements

• 3+ years of experience in data engineering/ETL work
• Strong skills in Spark using Scala or Python
• Experience with AWS services such as S3, EC2, EMR, Glue, and Lambda
• Proficiency in SQL and experience with data warehousing solutions (e.g., Redshift, Snowflake)
• Knowledge of Git and CI/CD processes
• Ability to work independently and take ownership of projects
• Enthusiasm for learning new technologies and challenging the status quo
• Experience with data modeling and schema design
• Familiarity with NoSQL databases (e.g., DynamoDB, MongoDB)
• Understanding of data security and compliance requirements

Responsibilities

• Build and maintain ETL pipelines using Spark and Scala/Python
• Collaborate with cross-functional teams to create end-to-end data solutions
• Contribute to evolving our data engineering stack, including evaluating data catalog products and automating ETL processes
• Participate in code reviews and mentor junior team members
• Iterate quickly, with a "Speed Trumps Perfection" mindset
• Design and implement data models to support travel-related analytics and recommendations
• Optimize data pipelines for performance and cost-efficiency
• Ensure data quality and integrity throughout our systems

Preferred Qualifications

• Experience with Airflow or other workflow management tools
• Familiarity with streaming data processing (e.g., Kafka, Kinesis)
• Knowledge of geospatial data processing
• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Familiarity with travel industry data or APIs
• Contributions to open-source projects

Benefits

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Paid Time Off
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program