Senior Analytics Engineer

New

Skills

Airflow Cloud Platforms (Snowflake/Databricks) Data Modeling Data Quality Best Practices DBT ML Pipelines Snowflake Spark Ecosystem SQL (Postgres/Snowflake) Tableau

As a Senior Analytics Engineer, you will play a critical role in modeling and documenting new datasets to unlock their value across various business units. You will collaborate with subject matter experts to automate business metrics that define success, optimize data usage for analysts, and ensure the highest standards of data reproducibility and compliance.

Key Responsibilities
  • Model and document structured and semi-structured datasets.
  • Partner with subject matter experts to align and automate business success metrics.
  • Collaborate with analysts to optimize data usage through reviews, modeling exercises, and dashboard audits.
  • Design, monitor, and deploy certified data sources on reporting platforms and warehouses.
  • Act as a subject matter expert for data strategy and implementation across the business.
Required Skills & Qualifications
  • Expertise in SQL (Postgres/Snowflake preferred).
  • Experience in query and data pipeline optimization.
  • Familiarity with the Outreach tech stack: Snowflake, DBT, Airflow, Tableau.
  • Working knowledge of ML pipelines (e.g., Sagemaker).
  • Experience with multi-dimensional data modeling in modern ELT environments.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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