Senior Data Engineer

Exol
•Remote

About The Position

Exol is seeking a Senior Data Engineer to join its Data Platform team within the IT organization. The role designs, builds, and scales a cloud-native, multi-tenant data platform that delivers reusable data services, pipelines, and platform capabilities for analytics, customer products, and AI-driven solutions. The team develops shared cloud infrastructure, data services, and engineering capabilities supporting multiple customers and products.

Requirements

  • Minimum of 8 years of related experience or equivalent work experience.
  • Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
  • Experience designing and building cloud-native data solutions using Google Cloud Platform, BigQuery, and dbt.
  • Strong SQL and Python skills.
  • Experience working with PostgreSQL or other relational databases.
  • Experience developing scalable batch and streaming data pipelines using Apache Airflow or Cloud Composer.
  • Experience implementing Infrastructure as Code with Terraform and building CI/CD pipelines.
  • Experience with technologies such as Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, Cloud Run, Kubernetes, or Docker.
  • Valid driver's license and ability to drive and/or fly to client locations and company headquarters.

Responsibilities

  • Design and enhance a scalable, cloud-native, multi-tenant data platform.
  • Build and optimize batch and streaming data pipelines, transformation models, and reusable data services.
  • Develop scalable data models using BigQuery and dbt, and implement data quality, governance, lineage, and monitoring practices.
  • Create Infrastructure as Code using Terraform and maintain CI/CD pipelines using GitHub Actions or similar tools.
  • Implement automated testing, deployment, release, observability, logging, and alerting capabilities.
  • Monitor platform health, troubleshoot production issues, and improve scalability, reliability, and operational performance.
  • Partner with Product, Engineering, AI, and Analytics teams.
  • Contribute to architecture reviews, technical documentation, and engineering standards.
  • Mentor team members.

Benefits

  • Business travel expenses are reimbursed based on program guidelines.
  • Eligible employees may receive a corporate credit card based on role and travel requirements.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service