Data Engineer (Sales Data Domain)

TL;DR

Data Engineer (Sales Data Domain): Architecting and building robust data frameworks that empower Operational Data Store / Enterprise Data Lake Platforms with an accent on high data quality and performance. Focus on building curated datasets that drive strategic decision-making.

Location: Remote (USA)

Salary: $100,000 - $155,000 per year

Company

hirify.global is a global leader in cybersecurity, protecting the people, processes, and technologies that drive modern organizations.

What you will do

• Lead the full lifecycle of data engineering projects, from requirement gathering to production deployment and monitoring.
• Design, develop, and maintain complex data transformations using Python, Airflow, DBT, and databases such as Snowflake.
• Build, scale, and maintain automated workflows using Apache Airflow to manage data dependencies.
• Maintain high engineering standards through CI/CD implementation and version control using GitHub.
• Implement automated processes for data validation, ensuring high standards of data quality.
• Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets.

Requirements

• 5+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow.
• Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc.
• Sales Data Domain Expertise: Hands-on experience working with Sales Pipelines and bookings (Accounts, Opportunity, Role hierarchy, etc), Quota Attainment, RBACs, etc
• Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures.
• Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc.
• Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.

Nice to have

• Sales Automation Tools Knowledge: Experience with platforms such as Salesforce, People.ai, Clari and CRM systems for data integration and processing.
• Understanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store support.

Culture & Benefits

• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge.
• Paid parental and adoption leaves.
• Professional development opportunities for all employees.
• Great Place to Work Certified™ across the globe.