Dbt Analytics Engineer

Remote Role - USA (C2C will work)

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.

Title: DBT Analytics Engineer

Duration: 6 Months +

Location: Remote/USA

Job Description:

Job Description:

What You’ll Do

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.

What We’re Looking For

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.