DBT Analytics Engineer

About

We’re hiring for an Analytics Engineer role focused on modernizing pipelines and delivering business‑ready datasets. The position involves rebuilding 300+ pipelines into a Databricks + DBT architecture, implementing Bronze–Silver–Gold layers, and enabling governed, self‑service analytics for stakeholders.

This is a high‑impact role where you’ll work directly with business teams, own end‑to‑end data models, and help shape a future‑ready analytics platform. If you have strong AWS, DBT, SQL, and Databricks experience, this could be a great fit.

Responsibilities

• Design and implement robust dimensional and relational data models.
• Build and maintain scalable dbt transformation pipelines.
• Own transformation and modeling of curated (Silver/Gold) datasets.
• Collaborate with analysts, product analytics, data scientists, and stakeholders.
• Implement data quality tests, monitoring, SLAs, and alerting.
• Partner with Data Engineers to define and enforce data contracts.
• Follow analytics engineering best practices (version control, testing, documentation).
• Empower self-service analytics with intuitive, well-documented data marts.

Qualifications

• 5+ years in analytics engineering, data modeling, or similar roles.
• Expert-level SQL skills (optimization & performance tuning).
• Extensive dbt experience (testing, documentation, package management).
• Strong Python programming skills.
• Deep understanding of dimensional modeling (star schemas, one big table).
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks).
• Familiarity with Airflow and orchestration frameworks.
• Experience with Git and CI/CD for analytics code.
• Strong business acumen and ability to translate requirements into data models.
• Knowledge of data governance, privacy, compliance (GDPR, CCPA, SOX).
• Familiarity with BI tools (Tableau, Looker, Mode).
• Strong ownership mindset and communication skills.
• Dedication to data quality, documentation, and enabling self-service analytics.
• Bachelor’s Degree in a technical field, or equivalent experience.

Details

• Seniority Level: Mid-Senior level
• Industry: IT Services and IT Consulting
• Employment Type: Contract
• Job Functions: Consulting
• Skills: Analytics, Data Build Tool (DBT), Databricks Products, Silver, Python (Programming Language), Git, Bronze, Tableau, Google BigQ