Analytics Engineer

TL;DR

Analytics Engineer: Building and maintaining scalable ETL pipelines and designing the Analytics and Business Intelligence architecture with an accent on implementing new technologies. Focus on ensuring robust instrumentation across areas of the product, supporting data governance efforts, and partnering with business teams to deploy robust reports and analyses.

Location: Hybrid work location

Salary: $164,600—$221,700 USD

Company

hirify.global is building a new type of development platform that combines the benefits of traditional software development with a drag-and-drop UI editor and AI, making it dramatically faster to build internal tools.

What you will do

• Build and maintain scalable ETL pipelines.
• Design Analytics and Business Intelligence architecture, assessing and implementing new technologies.
• Work with engineering teams to ensure robust instrumentation across areas of the product.
• Support data governance efforts, ensuring alignment with all data privacy standards and regulations.
• Partner with business teams to deploy robust reports and analyses, surfacing key insights that shape hirify.global’s future direction.
• Develop dashboards and define metrics that drive key business decisions.

Requirements

• Background in Analytics Engineering, Business Intelligence, Data Engineering, or Data Analytics.
• Ideally 4+ years of experience managing and building large, complex data sets across a range of sources.
• Strong SQL and data modeling skills; ability to apply a range of data modeling techniques and philosophies to solve real-world problems.
• Experience implementing data quality frameworks with automated testing and monitoring that catch critical issues without excessive noise.
• Hands-on experience with data orchestration and transformation tools like dbt, Dagster, or Airflow.
• Experience developing in a cloud data warehouse system like Databricks or Snowflake.

Nice to have

• Deep dbt knowledge, including the ability to write complex but maintainable jinja to customize our dbt deployment.
• Deep experience with Spark/Databricks SQL and Delta Lake.
• Deep experience with the Databricks platform, including Unity Catalog management, Workflows, DLT, and MLflow.
• Experience using UX techniques to design highly usable, effective data products.

Culture & Benefits

• hirify.global offers generous benefits to all employees.
• Hybrid work location.