Data Engineer II (Fintech)

Location: Remote within the United States; team members can live and work anywhere in the United States except Hawaii.

Salary: $129,000–$156,000 per year, plus equity.

Company

hirify.global is a publicly traded fintech providing digital financial products designed to improve access to affordable liquidity for financially vulnerable Americans.

What you will do

• Build, maintain, and improve data pipelines that ingest, transform, and deliver data across the data platform.
• Own data engineering projects through implementation, testing, deployment, monitoring, troubleshooting, and production support.
• Work with Snowflake, dbt, Airflow or Cloud Composer, APIs, files, and cloud services to optimize production workloads.
• Develop warehouse schemas and data models, improve data quality, document systems, and optimize queries.
• Improve ingestion, orchestration, validation, retries, backfills, monitoring, and alerting to reduce recurring operational work.
• Use AI-assisted engineering tools for development, debugging, documentation, and analysis while maintaining accuracy, security, and review standards.

Requirements

• 2+ years of software or data engineering experience supporting production data systems.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Strong programming skills in Python, Java, or another general-purpose language, together with strong SQL skills.
• Experience with ETL/ELT pipelines, dbt, Fivetran or similar tools, cloud data warehouses, and Airflow or Cloud Composer.
• Understanding of data modeling, data quality, relational data, query optimization, version control, testing, code reviews, and CI/CD.
• Ability to work remotely from the United States, excluding Hawaii.

Nice to have

• Experience with financial or other highly regulated datasets.
• Familiarity with GCP technologies such as Dataflow, Pub/Sub, and Cloud Storage.
• Experience with streaming pipelines, data observability, incident-management tooling, GraphDB or Neo4j.
• Knowledge of data governance, privacy, access controls, or PII handling.
• Experience supporting AI or machine learning data workflows.

Culture & Benefits

• Virtual-first work culture with flexible hours and a home office stipend.
• Premium medical, dental, and vision insurance.
• Paid parental and caregiver leave.
• 401(k) savings plan with matching contributions.
• Flexible PTO, company holidays, financial wellness support, and in-person company events once or twice a year.