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Symbotic

Senior Data Engineer

Symbotic

. Design and enhance a scalable, cloud-native, multi-tenant data platform .

Posted 9/24/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and enhancing scalable, cloud-native data platforms, with a strong focus on data quality, governance, and operational performance. Proficient in building and optimizing data pipelines and implementing Infrastructure as Code using Terraform.

Highest-signal resume keywords
Cloud-Native Data SolutionsBigQueryData Pipeline DevelopmentInfrastructure as CodeCI/CD Pipeline Maintenance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonPostgreSQLApache AirflowTerraformGitHub ActionsData QualityData GovernanceData ModelingStreaming Data
Tools & Technologies
Google Cloud PlatformCloud StorageCloud FunctionsCloud RunKubernetesDockerPub/SubDatastreamDataflow
Industry Keywords
Multi-Tenant Data PlatformBatch ProcessingStreaming ProcessingData ServicesTechnical Documentation

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudDockerGoogle Cloud PlatformKubernetesPostgresPythonSQLTerraform

About the role

Key responsibilities & impact
  • 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
  • Implement data quality, governance, lineage, and monitoring practices
  • Create Infrastructure as Code using Terraform
  • Maintain CI/CD pipelines using GitHub Actions or similar tools
  • Implement automated testing, deployment, release, observability, logging, and alerting capabilities
  • Monitor platform health and troubleshoot production issues
  • Drive improvements in scalability, reliability, and operational performance
  • Partner with Product, Engineering, AI, and Analytics teams
  • Contribute to architecture reviews, technical documentation, engineering standards, and team mentorship

Requirements

What you’ll need
  • Minimum of 5 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, with 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 HQ
  • Ability to travel up to 10%

Benefits

Comp & perks
  • Up to 10% of travel may be required
  • Business travel expenses reimbursed based on program guidelines
  • Eligible employees may receive a corporate credit card based on role and travel requirements