Data Engineer II (AI/ML)

TL;DR

Data Engineer II (AI/ML): Designing, building, and optimizing ETL pipelines to power analytics, data science, and ML workflows with an accent on machine learning models and MLOps practices. Focus on productionizing model training, inference, and evaluation pipelines while championing data quality and governance.

Location: Remote (United States)

Salary: $130,000 - $140,000 per year

Company

hirify.global is an outcomes-focused learning company improving learning environments, one classroom at a time.

What you will do

• Design, build, and optimize ETL pipelines for analytics, data science, and ML using Databricks, PySpark, and Airflow.
• Develop and maintain labeling and retraining pipelines for machine learning models, ensuring quality and reproducibility.
• Implement and support MLOps practices, including model versioning, CI/CD for ML, and model monitoring.
• Collaborate with data scientists to productionize and scale model training, inference, and evaluation pipelines.
• Contribute to the design and evolution of the data lakehouse, including schema design and performance optimization.
• Champion data quality and governance, ensuring datasets are accurate and compliant with standards.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2–4 years of experience building and operating large-scale data systems, supporting analytics and ML workloads.
• Proficiency in Python and SQL, with experience in PySpark, pandas, or similar frameworks.
• Experience with modern data warehousing and lakehouse platforms, preferably Databricks.
• Hands-on experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Experience with AWS data and compute services (S3, Lambda, ECS, CloudWatch, etc.) or equivalent cloud platforms.

Culture & Benefits

• Competitive pay, complete 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.
• A catalog of benefits that support professional growth and personal wellbeing, including work from home funds.
• Varied and challenging role in an innovative, global company.
• Supportive, driven colleagues who have your back and share your passion.