Senior Data Engineer

Overview

Remote / India

 

Engineering at GoTo

We’re trailblazers in remote work technology—building powerful, flexible solutions that empower everyone to live their best life, both at work and beyond. With us, you’ll have the opportunity to chart new paths and help redefine how the world works. For us, AI isn’t just a buzzword; it’s a tool we use to deliver real, practical value to our customers and teams. We focus on solving meaningful problems, not just adding features for the sake of using AI. Here, growth takes many forms: you can expand your skills, take on new challenges, lead initiatives, and explore creative ideas. Join a GoTo product team and play a key role in transforming the workplace for millions of users worldwide—your work will truly make a difference.

Your Day to Day

As a Senior Software Engineer – Data Engineering, you would be:

• Design, build, and optimize scalable data pipelines using PySpark, SQL, Airflow, and Databricks/AWS services.
• Develop and maintain data models (conceptual, logical, physical) for structured and semi-structured datasets.
• Work with Hive, Delta Lake, and Lakehouse architectures to manage and process large-scale datasets efficiently.
• Implement data quality, governance, and security best practices across data pipelines.
• Collaborate with ML engineers and data scientists to operationalize machine learning models in production.
• Automate workflows, monitoring, and performance tuning to ensure high availability and reliability.
• Participate in architecture discussions, making recommendations on scaling, cost optimization, and tool selection.
• Mentor junior engineers and contribute to best practices in data engineering and MLOps.
  
  
  

As a Senior Software Engineer – Data Engineering, your background will look like:

• 5+ years of experience in data engineering or software development, with a proven record of maintaining production-grade pipelines.
• Strong programming experience in PySpark and SQL.
• Solid hands-on knowledge of Databricks or AWS data stack (EMR,EKS, S3, etc)
• Proficiency with Airflow for orchestration and Hive/Delta Lake for data management.
• Deep understanding of data modeling, ETL/ELT design, and performance optimization.
• Experience working with large-scale distributed data processing systems.
• Strong problem-solving skills, debugging abilities, and attention to detail.
  
  
  

• Exposure to machine learning models and MLOps workflows.
• Knowledge of Unity Catalog or similar governance frameworks.
• Familiarity with CI/CD pipelines and DevOps practices for data workflows.
• Experience in real-time streaming frameworks (Kinesis, Spark Streaming).
• Contribution to AI-driven data products or enthusiasm for applying AI in engineering workflows.
• Prior experience mentoring or leading small data engineering teams.
  
  
  

At GoTo, we believe in supporting our employees with a comprehensive range of benefits designed to fit your life—at work and beyond. Here are just some of the benefits and perks you can expect when you join our team:

• Comprehensive health benefits, life and disability insurance, and fertility and family-forming support program
• Generous paid time off, paid holidays, volunteer time off, and quarterly self-care days and no meeting days
• Tuition and reading reimbursement programs to support your continuous learning and professional growth
• Thrive Global Wellness Program, confidential Employee Assistance Program (EAP), as well as One to One Wellness Coaching
• Employee programs—including Employee Resource Groups (ERGs), GoTo Gives, and our charitable matching program—to amplify your connection and impact
• Registered Retirement Savings Plan (RRSP) to help you plan for your future
• GoTo performance bonus program to celebrate your impact and contributions
• Monthly remote work stipend to support your home office expenses.
  
  
  

At GoTo, you’ll find the flexibility, resources, and support you need to thrive—at work, at home, and everywhere in between. You’ll work towards a shared goal with an open-minded, cohesive team that’s greater than the sum of its parts. We’re committed to creating an inclusive space for everyone, because we know unique perspectives make us a stronger company and community. Join us and be part of a company that invests in your future, where together we’ll Be Real, Think Big, Move Fast, Keep Growing, and stay Customer Obsessed.Learn more.