Data Engineer II (AI/ML)

Location: United States; remote team

Salary: $130,000–$150,000 per year

Company

hirify.global builds K-12 learning solutions that support effective teaching, equitable engagement, student safety, analytics, and AI/ML-enabled education products.

What you will do

• Design, build, and optimize ETL pipelines for analytics, data science, and ML workflows using Databricks, PySpark, and Airflow.
• Develop labeling and model-retraining pipelines with strong quality, reproducibility, and observability.
• Implement MLOps practices, including model versioning, ML CI/CD, and production monitoring.
• Collaborate with data scientists to productionize and scale model training, inference, and evaluation pipelines.
• Contribute to data lakehouse architecture, including schema design, partitioning, and performance optimization.
• Improve data quality, governance, documentation, infrastructure-as-code, containerization, and engineering practices.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2–4 years of experience building and operating large-scale data systems for analytics or ML workloads.
• Proficiency in Python and SQL, with experience in PySpark, pandas, or similar frameworks.
• Experience with DBT, modern data warehousing or lakehouse platforms, and orchestration tools such as Airflow, Dagster, or Prefect.
• Knowledge of data modeling, ETL design, distributed data systems, AWS services, MLOps, and Infrastructure as Code.
• Strong problem-solving, collaboration, and communication skills.

Culture & Benefits

• Remote, outcomes-focused work environment supporting collaboration and continuous learning.
• Health insurance, 401(k) matching, and an employee equity plan.
• Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break.
• Professional growth and wellbeing benefits, including work-from-home funds and fertility and adoption reimbursement.