Protecht is reinventing refunds, striving to make every experience refundable. Our strength lies in our proprietary Software-as-a-Service (SaaS) embedded refund protection platform, which allows us to aggregate significant distribution while providing a top-tier digital purchasing experience for event organizers, booking platforms, ticketing systems, and end consumers. Our e-commerce solution is embedded in millions of carts each month and backed by A.M.-Best-Rated insurers.

JOB SUMMARY

Our data-driven solutions power mission-critical applications, and we need a Data Engineer to help us optimize and scale our data infrastructure. If you thrive on building robust data architectures, designing effective schemas, ensuring high-performance data pipelines, and empowering business teams with the right data solutions, we want you on our team.
As a Data Engineer at Protecht, you’ll work closely with both engineering and business teams.

Your work will help:

• Developers optimize data storage and retrieval
• Migrate key applications to separate data warehouses to prevent revenue-impacting disruptions
• Implement efficient data pipelines to transform and transfer data in near real-time
• Support reporting and analytics capabilities to promote data-driven insights across the business

As we scale, you’ll play a crucial role in ensuring our data systems remain performant, reliable, and accessible, both for our internal teams and external partners.

REQUIREMENTS

• 3-5+ years of experience in data engineering, with hands-on experience designing and managing data pipelines.
• Strong SQL skills and experience optimizing queries for performance across large datasets.
• Proficiency in Python or Java for building data workflows and transformations.
• Experience with databases such as AWS Redshift, Athena, Postgres, MySQL, DynamoDB, or other modern data storage solutions.
• Knowledge of ETL/ELT systems like Airflow, Glue, Spark, DBT, or similar tools.
• Familiarity with AWS services (Lambda, Step Functions, Fargate, S3, etc.) for scalable data infrastructure.
• Experience working with message queues and event-driven architectures (Kafka, Kinesis, SQS, etc.).
• Understanding of data modeling, indexing strategies, and schema design to optimize for various application use cases.
• Experience with BI tools such as Domo, Tableau, Looker, or similar is a plus.
• Strong problem-solving skills and a proactive mindset for improving data workflows.
• Excellent communication skills to collaborate with engineers, product teams, and business stakeholders.
• This is a remote position. Travel to Protecht Hubs in Phoenix, San Francisco, Denver, Los Angeles, Austin, or Chicago may be required as necessary.

• Design & Implement Data Solutions – Architect scalable, efficient, and well-structured data models and pipelines to support both engineering and business needs.
• Optimize & Migrate Data Workflows – Develop ETL/ELT pipelines to migrate critical applications to separate data warehouses, ensuring seamless integration and minimal impact on live revenue-generating applications.
• Collaborate with Developers – Work closely with engineers to design and implement the most effective data schemas, storage strategies, and indexing techniques for performance optimization.
• Develop & Maintain Pipelines – Build batch and near real-time data pipelines to support various applications, ensuring efficient data transformation and storage.
• Support Core Business Processes - Collaborate with analytics and product teams to support key reporting across multiple business functions.
• Ensure Data Quality & Governance – Design frameworks for data validation, integrity, and compliance including SOC II & PCI to ensure high-quality, accurate, and secure data.
• Performance Optimization & Troubleshooting – Analyze and improve query performance, database efficiency, and system scalability while troubleshooting complex data issues.
• Support & Scale Data Infrastructure – Help establish best practices, automation, and monitoring strategies to ensure our data architecture scales with the company’s growth.