IT Software Engineer - Data (GenAI)

Location: Remote within the United States; hybrid work is available, with 24 hours per week in an office for associates residing within 30 miles of an office. External candidates residing in Alabama, California, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Michigan, New Jersey, New York, Oregon, Rhode Island, Vermont, or Washington are not eligible. Candidates must already be authorized to work in the United States.

Salary: $115,000–$135,000 annually, based on experience.

Company

hirify.global provides student loan servicing, professional services, consumer lending, payment processing, renewable energy solutions, and K–12 and higher-education services.

What you will do

• Design, build, and maintain BigQuery and Dataflow-based data pipelines for GenAI use cases.
• Develop batch ETL/ELT processes that ingest client data from SIS, ERP, and casework systems into Google Cloud analytics and RAG data stores.
• Classify and tag sensitive data using Dataplex and Cloud DLP, and enforce appropriate access controls and governance policies.
• Design reusable data models and schemas, document data flows and classification decisions, and assess data readiness.
• Monitor pipeline reliability, performance, cost, quality, and freshness while identifying delivery and compliance risks.
• Collaborate with GCP/Gemini Enterprise Engineering, AgentOps, client technical teams, and delivery stakeholders.

Requirements

• Bachelor’s degree in a related field or equivalent work experience.
• Hands-on experience building cloud data pipelines and ETL/ELT processes for analytics or GenAI use cases.
• Strong SQL and Python skills, including SQL performance tuning and data transformation.
• Experience with data governance, classification, privacy, and regulated data; familiarity with FERPA is required.
• Knowledge of cloud storage, messaging, access control, relational databases, data modeling, and software development lifecycle practices.
• Must already be authorized to work in the United States without current or future visa sponsorship.

Nice to have

• Experience with BigQuery, Dataflow, Cloud Composer, Apache Airflow, Dataplex, and Cloud DLP.
• Google Cloud Professional Data Engineer certification.
• Experience with Snowflake, Redshift, Synapse, Collibra, Alation, AWS Macie, SSIS, Netezza, or PostgreSQL.
• Basic C#/.NET knowledge for SSIS scripting and experience with Jira or TFS.

Culture & Benefits

• Remote and hybrid work options, with in-person collaboration where applicable.
• Medical, dental, vision, HSA, and FSA benefits.
• Paid time off, 401(k), student loan repayment, life and disability insurance, and employee assistance programs.
• Tuition reimbursement, employee stock purchase program, performance-based incentive pay, and wellness benefits.
• Collaborative work on education, public-sector, data, and AI solutions.