# Senior Analytics Engineer

**Company:** [Current](https://hotfix.jobs/companies/current)
**Location:** New York, NY
**Role:** Data Engineering
**Salary:** $170k – $220k/yr
**Experience:** 6+ years
**Skills:** dbt, Looker, BigQuery, Airflow, SQL, Python, Scala, AWS, GCP, Dimensional Modeling
**Posted:** 2026-04-28

> Build dimensional models, data marts, and transformation pipelines in dbt, Airflow, and BigQuery. Partner with analysts, scientists, and engineers to deliver analytics infrastructure and Looker dashboards.

## Job Description

## Responsibilities
- Build data warehousing and data modeling strategy and roadmap.
- Build core data models and data marts in the Data Warehouse.
- Design and build data transformation pipelines, dimensional models, data marts and data aggregation layers in dbt, Airflow and Bigquery.
- Implement scalable and easy to use data models housing complex data sets.
- Support Looker as a primary data reporting and analytics tool and build core data models in Looker to easily do sophisticated data analysis.
- Work closely with Banking, Product, Marketing, Finance, Credit, Risk and other teams to support their analytics and modeling needs in Looker.
- Partner with data engineers to build data integrations, robust tools and infrastructure.
- Implement framework and processes for data reconciliation and quality management.
- Build trust and confidence in the data that you and your team will transform/produce.

## Requirements
- 6+ years of experience working as a data engineer or analytics engineer.
- Implemented dimensional models and summarized data marts in the data warehouse; completed at least one full Data Warehouse development cycle.
- Fluent in building data transformation pipelines, dimensional models and data marts using one or more ETL or Transformation tools (Preferred: dbt).
- Proficient in dimensional modeling concepts to power meaningful analytics.
- 3+ years of experience building meaningful metrics, reports and dashboards in BI/reporting tools like Looker (Preferred: Looker).
- Strong expertise in SQL and performance tuning.
- Experience working with services in cloud environment(s) like AWS or GCP.
- Programming experience in Python, Scala or other language(s).
- Focus on data quality, integrity and security.

## Nice-to-Haves
- Experience modeling data in dbt and Looker.
- Experience working with Financial services companies.
- Experience working with one or more MPP databases (Preferred: Bigquery, etc.).
- Experience in D2C domains.

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**Apply:** https://hotfix.jobs/jobs/922ab834-469d-4c53-81a7-f7b54a004aad
**Canonical:** https://hotfix.jobs/jobs/922ab834-469d-4c53-81a7-f7b54a004aad