Data Engineer, Go To Market

TL;DR

Data Engineer (Go To Market): Architecting and building robust data frameworks that empower Operational Data Store / Enterprise Data Lake Platforms with an accent on modern data stacks and translating business needs into scalable data solutions. Focus on designing, developing, and maintaining complex data transformations, ensuring high data quality and performance.

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 initial requirement gathering to production deployment and monitoring.
• Design, develop, and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, and DBT.
• Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies.
• Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines.
• Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making.

Requirements

• 5+ years' experience in design & developing complex automation frameworks, queries, and data modeling in SQL, Python, DBT, and Apache Airflow.
• Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc.
• Marketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution models.
• 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

• Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach 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 regardless of level or role.
• Great Place to Work Certified™ across the globe.