Manager, BI + Analytics Engineer
New York, NY
- Pay
USD 150,000–180,000/yearAnnual period assumed — pay source
Annual Salary + Benefits + Equity (if applicable) + Bonus (if applicable) $150,000—$180,000 USD Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingOwn and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem
Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms
Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
From the employer’s posting
What You Will Do Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms
Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance Create dashboards and analysis that uncover trends in revenue, product usage, and customer behavior
Tools in this posting
- SQL
- dbt
- Looker
- Sigma
- Airflow
- Snowflake
- BigQuery
- Prefect
Source — Tool mentions in context
- 4+ years of experience as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing tech environment - Strong command of SQL and data modeling best practices - Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect)
- Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem - Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms - Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
- Strong command of SQL and data modeling best practices - Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect) - Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar
- Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect) - Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar - Strong product and business sense — you know how to balance technical purity with speed, scalability, and impact
Job description
Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
The Role
As Peregrine’s Manager, BI + Analytics Engineer, you’ll play a foundational role in shaping how data is modeled, accessed, and used across the company. You will own the architecture and execution of our internal analytics stack, partnering closely with stakeholders across Product, Sales, Finance, and Operations to turn raw data into insight and insight into action.
This is a highly cross-functional and high-visibility role — you’ll work directly with leaders across the business to define KPIs, automate workflows, and level up our data infrastructure. If you're a hands-on builder who thrives in ambiguity, loves translating business questions into clean data pipelines, and wants to shape the future of data at a mission-driven company, we want to hear from you.
What You Will Do
- Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem
- Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms
- Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
- Create dashboards and analysis that uncover trends in revenue, product usage, and customer behavior
- Set up data quality checks and alerts to ensure accurate, timely, and trustworthy data
- Support planning and forecasting by partnering with teams to define KPIs and build forward-looking models
What We Look For
- 4+ years of experience as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing tech environment
- Strong command of SQL and data modeling best practices
- Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect)
- Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar
- Strong product and business sense — you know how to balance technical purity with speed, scalability, and impact
- Comfort working autonomously and owning projects end-to-end
- Excellent communication skills with an ability to translate complex concepts to non-technical audiences
- Located in New York, NY and willing to work in office four days a week
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
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- Pay
Annual Salary + Benefits + Equity (if applicable) + Bonus (if applicable) $150,000—$180,000 USD Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
- Location & working pattern
New York, NY
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 14, 2026
- Recorded sightings
- 127
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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