TL;DR
Lead Data Engineer (AI): Driving deep business understanding and leveraging data to identify critical business checks, anomalies, and define key business rules with an accent on translating insights into robust data solutions and defining compelling project definitions. Focus on enabling internal teams and customers to gain trusted and actionable insights from data, and leading incident response for data quality issues.
Location: This position is remote within the USA, and visa sponsorship is not available.
Salary: $169,000 - $211,000 USD (Estimated Base Pay Range)
Company
hirify.global is a global company building an intelligent observability platform that empowers companies to thrive in an an AI-first world.
What you will do
- Understand business processes, objectives, and challenges to identify key business metrics.
- Identify and analyze business anomalies, conduct root cause analysis, and recommend corrective actions.
- Define and document clear business rules to ensure data quality, consistency, and integrity.
- Collaborate with ML and Data Engineering teams to translate business requirements into technical specifications for data pipelines and analytical solutions.
- Lead the definition and scoping of data-driven projects, including business use cases and success criteria.
- Develop and implement robust data validation and quality checks for business-critical data.
- Design and build insightful dashboards and reports for business stakeholders.
- Contribute to data product strategy, focusing on business value and user adoption.
Requirements
- 7+ 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 problems into data analysis requirements.
- 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.
- Excellent communication and interpersonal skills for collaboration with business stakeholders, ML engineers, and data engineers.
- Ability to partner with business and AI teams to drive data-driven solutions.
- Familiarity with data governance principles and best practices.
- Visa sponsorship is not available for this position.
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).
- Experience with statistical analysis or data modeling techniques.
Culture & Benefits
- Flexible workforce model allowing for fully office-based, fully remote, or hybrid work.
- Comprehensive benefits including healthcare, dental, vision, parental leave, and mental health.
- 401(k) plan with company match.
- Flex time-off, 11 paid holidays, and volunteer time-off.
- Commitment to fostering a diverse, welcoming, and inclusive environment.
Hiring process
- All persons hired will be required to verify identity and eligibility to work and complete employment eligibility verification.
- A criminal background check is required to join hirify.global.
- Certain roles may require passing an export compliance assessment.
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