Specialist Data Engineer

Tredence Inc.
San Jose, US
On-site

Job Description

Role description

Job Title: Senior Data Engineer

Location - Boston - Onsite

Job Summary

We are looking for an experienced Senior Data Engineer to design, build, and optimize scalable data platforms. The ideal candidate will have strong expertise across data engineering fundamentals, particularly in Snowflake, dbt, SQL, and modern DevOps practices, and will play a key role in delivering high‑quality, analytics‑ready data.

Key Responsibilities

  • Design, build, and maintain robust data pipelines and data warehouse solutions
  • Apply strong data engineering, data warehousing, and ETL concepts to support analytics and reporting needs
  • Develop and maintain dimensional and analytical data models following best practices
  • Optimize Snowflake performance through effective warehouse design, clustering, query tuning, and cost optimization
  • Lead and contribute to dbt development, including:
  • dbt models and project design
  • Data quality tests and validations
  • Audit logging and monitoring
  • Usage of dbt utils and advanced dbt features
  • Write and optimize complex SQL queries for large‑scale datasets
  • Implement and maintain DevOps and CI/CD pipelines for data workflows
  • Ensure data reliability, consistency, and documentation across the data platform
  • Collaborate cross‑functionally with analytics, engineering, and business teams

Mandatory Skills & Experience

  • Strong understanding of data engineering, data warehousing, and ETL/ELT architectures
  • Solid knowledge of data modelling concepts (dimensional, normalized, analytical models)
  • Hands‑on experience with Snowflake, including performance optimization
  • Extensive dbt development and design experience, including:
  • dbt tests
  • Audit logging
  • dbt utils and best practices
  • Excellent SQL hands‑on experience
  • Proven experience implementing DevOps practices and CI/CD pipelines for data platforms

Good to Have

  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with orchestration tools (e.g., Airflow)
  • Exposure to data governance, observability, or monitoring tools
  • Strong problem‑solving and stakeholder communication skills

Skills & Requirements

Technical Skills

SnowflakedbtSQLDevOpsdata pipelinesdata warehouse solutionsdimensional and analytical data modelswarehouse designclusteringquery tuningcost optimizationdbt modelsdata quality testsaudit loggingdbt utilsadvanced dbt featurescomplex SQL queriesDevOps practicesCI/CD pipelinesdata reliabilitydata consistencydata documentationcloud platformsAWSAzureGCPorchestration toolsAirflowdata governanceobservabilitymonitoring tools

Employment Type

FULL TIME

Level

mid

Posted

4/14/2026

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