Senior Data Engineer

TL;DR

Senior Data Engineer: Driving business understanding and leveraging data to identify critical business checks and anomalies, focusing on defining key business rules. Focus on translating insights into robust data solutions and enabling actionable insights from data.

Location: Portland, Oregon, USA

Salary: $142,000 - $177,000 USD

Company

hirify.global builds an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems.

What you will do

• Deeply understand business processes, objectives, and challenges to identify key business metrics and opportunities for data-driven improvement.
• Proactively identify and analyze business anomalies, conducting root cause analysis and recommending corrective actions.
• Define and document clear, actionable business rules to ensure data quality, consistency, and integrity across systems.
• Collaborate closely with ML and Data Engineering teams to translate business requirements into technical specifications for data pipelines, models, and analytical solutions.
• Develop and implement robust data validation and quality checks to ensure the accuracy and reliability of business-critical data.
• Design and build insightful dashboards and reports that provide business stakeholders with actionable insights and monitor key performance indicators.

Requirements

• 5+ years of experience in data analysis, with a strong emphasis on business analysis and defining business rules.
• Proven ability to deeply understand business processes and translate complex business problems into data analysis requirements.
• Strong analytical skills with experience in identifying anomalies, trends, and patterns in large datasets.
• Proficiency in SQL for data extraction, manipulation, and analysis.
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI) for creating impactful dashboards and reports.
• Must have DBT

Nice to have

• Experience working with ML/AI teams on defining data requirements for model development and deployment.
• Understanding of data pipeline concepts and ETL/ELT processes.
• Exposure to cloud data platforms (e.g., Snowflake, BigQuery, Redshift).

Culture & Benefits

• Healthcare, dental, vision, parental leave and planning, and mental health benefits
• 401(k) plan and match
• Flex time-off, 11 paid holidays, volunteer time-off
• Flexible workforce model: fully office-based, fully remote, or hybrid.

Hiring process

• All persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification.
• A criminal background check is required to join hirify.global.