Lead Engineer Data

Location: Remote - Nationwide, United States; primary location Greenwood Village, Colorado.

Base salary: $125,400–$181,875 annually, with potential bonus participation.

Company

hirify.global provides financial services focused on helping customers achieve financial freedom.

What you will do

• Lead the design, implementation, testing, and maintenance of scalable data pipelines, ingestion frameworks, SQL, Python, and ETL code.
• Guide complex data initiatives and modernization decisions across production workflows, including processes to retain, migrate, redesign, or retire.
• Support and troubleshoot SAS Viya and SQL production workflows by identifying root causes, correcting issues safely, validating outputs, and improving monitoring and recovery.
• Design and optimize Snowflake transformations, dimensional models, and analytics-ready data structures for performance, scalability, reliability, and cost efficiency.
• Enforce data governance, security, quality, version control, automated testing, and CI/CD standards.
• Mentor engineers, lead code reviews, communicate technical decisions, and collaborate with architects, subject-matter experts, and technical and nontechnical stakeholders.

Requirements

• Bachelor’s degree in Computer Science or a related field, or an equivalent combination of training and experience.
• 6–8+ years of data engineering experience with enterprise-scale platforms.
• Advanced SQL proficiency, including query optimization and complex transformations, plus strong hands-on Python skills.
• Strong AWS and modern data platform experience; hands-on Snowflake engineering experience is required.
• Deep understanding of data modeling, ETL/ELT, data warehousing, dimensional modeling, and reusable business-facing datasets.
• Hands-on production support experience, persistence in resolving issues, and the ability to make safe changes to unfamiliar or complex existing code.
• Experience leading technical initiatives, mentoring engineers, and working in Agile environments.
• Strong problem-solving and communication skills, including the ability to explain complex technical matters and collaborate across teams.
• Applicants must be authorized to work for any employer in the U.S.

Nice to have

• SAS or SAS Viya experience; candidates without it must be willing and able to learn and support SAS-based workflows.
• PySpark experience.
• Experience preparing governed data for advanced analytics or machine learning.

Culture & Benefits

• Flexible work environment with support for purpose, well-being, work-life balance, inclusion, and internal mobility.
• Medical, dental, vision, and life insurance.
• 401(k) plan with company matching contributions of up to 6% and additional retirement resources.
• Paid time off upon hire, company holidays, floating holidays, paid volunteer time, parental leave, disability programs, and FMLA.
• Tuition reimbursement up to $5,250 per year and access to inclusive Business Resource Groups.
• Remote employees must maintain reliable wired high-speed internet and a suitable home workspace; office work may be required if these conditions are not met.

Hiring process

• Visa sponsorship is not available, including CPT/OPT.
• Employment authorization and the required remote-work connectivity and workspace must be available for a valid application.