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Remote role at a reputable employer and mid-level increases competition, but niche dbt/Redshift/Dagster skills constrain applicants.
Core analytics engineering skills transfer across industries, though Salesforce RevOps expertise adds some domain specificity.
Explicit 6+ years plus mandatory dbt, Redshift, Dagster, Salesforce model knowledge and Python make filters strict.
Lead migration and maintenance of analytics models and data pipelines using dbt on Redshift for Turnitin's Revenue Operations.
Design and optimize data models with clear lineage, manage orchestration and monitoring tools (Dagster or Airflow), maintaining fast and cost-effective Redshift environments.
Develop data foundations supporting revenue initiatives like account-based marketing, customer health scoring, churn and lead predictive models.
6-8+ years experience in Analytics Engineering, Data Engineering, or Business Intelligence with hands-on modeling responsibility.
Proven experience building production-grade dbt projects with testing and documentation.
Hands-on experience with Dagster or Airflow, advanced SQL and Amazon Redshift (or equivalent), plus Python for automation.
Strong working knowledge of Salesforce data model; Git-based workflow experience required.
Experienced at end-to-end analytics system design with ability to translate between technical and business stakeholders.
Systems thinker focused on accurate, actionable metrics and root cause analysis for data issues.
Owner mindset prioritizing code quality, documentation, and impact-driven delivery rather than just data output.