Data Engineer (Family Networking)

Company Background

Our client’s mission is to keep people connected to the ones they love. Their category-leading mobile app and Tile tracking devices empower millions of users in 150+ countries to protect their families, pets, and belongings. With features like real-time location sharing, crash detection, and safe driving reports, the platform enhances peace of mind and everyday family coordination. The company has a Remote First approach, fostering a mission-driven and inclusive culture that values innovation and authenticity.

Project Description

The Data and Analytics team is dedicated to building high-impact data products that align with the company’s commitment to putting members before metrics. The team values collaboration, communication, and innovation, fostering an environment where every member can excel and contribute to meaningful projects.

Technologies

• Databricks
• AWS
• Python
• SQL
• Spark
• Presto/Trino
• dbt
• Airflow
• Fivetran
• Terraform
• GitHub Actions

What You'll Do

• Design, implement, and maintain scalable data processing platforms for real-time analytics and exploratory data analysis;
• Manage diverse types of data from ingestion through ETL to storage and batch processing;
• Automate, test, and enhance data workflows for robustness and scalability;
• Architect logical and physical data models to meet business requirements;
• Collaborate with analytics teams, applying best practices to optimize workflows;
• Develop systems and algorithms for distributed real-time analytics and data processing;
• Implement strategies for acquiring and transforming data to uncover new insights;
• Champion data engineering best practices to foster innovation and growth within the team;

Job Requirements

• 5+ years of experience working with high-volume data infrastructure;
• Deep expertise with Databricks and AWS cloud platforms;
• Proficiency in Python programming and SQL, with the ability to optimize queries;
• Experience with large-scale data processing using Spark and/or Presto/Trino;
• Familiarity with data transformation frameworks like dbt and job orchestration tools like Airflow;
• Hands-on experience with data ingestion frameworks such as Fivetran;
• Strong background in data modeling and database design;
• Experience with modern development lifecycle tools including Agile methodology, CI/CD, Terraform, and GitHub Actions;
• Knowledge of modern data platform tech stacks and tools;
• Ability to stay up to date with the latest advancements in data engineering;
• Excellent communication skills and the ability to work independently;
• Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or equivalent experience;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.