# Senior Analytics Engineer

**Company:** [Justworks](https://hotfix.jobs/companies/justworks)
**Location:** New York, NY
**Role:** Data Analytics
**Salary:** $147k – $190k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, dbt, Snowflake, Tableau, Redash, Airflow, Fivetran, Terraform, Git, CI/CD
**Posted:** 2026-06-11

> Senior Analytics Engineer building and governing semantic layers, data models, and BI assets in Snowflake, dbt, and Tableau to enable self-service analytics across Sales, Marketing, Product, and Operations.

## Job Description

## What You Will Work On

- Transform raw data into high-quality data models that are easily queried and understood by various business units (e.g., Sales, Marketing, Product, Engineering, Operations)
- Design, build, and maintain our semantic layer using Snowflake semantic views — defining metrics, entities, and business logic so stakeholders can self-serve trustworthy, consistently-defined data without re-deriving logic
- Partner with analysts and business teams to build and govern BI content in Tableau and Redash — curated data sources, certified dashboards, and reusable metrics — and reduce dashboard sprawl through consolidation and clear standards
- Partner directly with stakeholders to translate business questions into data requirements, co-develop metric definitions, and drive adoption of governed models and dashboards
- Proactively identify opportunities to close gaps in reporting and insights generation by architecting new business facts and dimensions
- Apply effective data testing and sensitive data management strategies to ensure the quality and security of information provided to the business
- Level up our information design, data governance, and analytics engineering practices by defining our internal standards for lineage, maintainability, performance, and cost management
- Provide technical leadership and mentorship to junior and mid-level team members, fostering best practices in data modeling, orchestration, data warehouse architecture, data privacy, and analytics enablement

## Qualifications

- A minimum of 5 years of professional hands-on experience in analytics engineering, data analytics, data engineering, or a similar role
- Extensive experience transforming raw data into consistent, trustworthy data models for use by analytics and business stakeholders
- Hands-on experience building and maintaining a semantic/metrics layer (Snowflake semantic views or equivalent) that powers self-service analytics
- Demonstrated experience building and governing assets that power BI— certified data sources, dashboard design, and self-service enablement
- Proven track record partnering directly with non-technical stakeholders to define metrics, gather requirements, and drive adoption of data products
- Proficient in writing performant SQL and leveraging dbt for data transformation and model management
- Expert understanding of data warehousing concepts for analytics, including dimensional modeling, star schemas, and representation of complex business facts
- Experience with Python or other programming languages commonly used in data engineering
- Strong ability to troubleshoot, optimize, and scale data models for performance and usability
- Comfortable translating complex technical topics for business stakeholders
- Comfortable with Git, command line, and CI/CD best practices
- Comfortable managing workflows using Agile practices
- Ability to solve ambiguous problems independently

## Nice to Have

- Experience w/modern data stack tools (e.g., Fivetran, dbt, Snowflake)
- Experience working in complex, highly dimensional data ecosystems
- Experience implementing sensitive data management solutions and privacy-by-design principles strongly preferred

## Technologies Used

- Languages: SQL, Python, Terraform
- Stack: Snowflake (incl. semantic views), Airflow, Fivetran, dbt, GitHub, CircleCI, Tableau, Redash, Jira

## Compensation

- The base wage range for this position based in our New York City Office is targeted at $147,000.00 - $190,000.00 per year.

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