Lead Data Engineer (AI/ML)

Location: Remote in the United States; up to 5% primarily domestic travel. Relocation is not authorized.

Salary: $188,251–$230,084 annually, including base pay and variable incentive pay if eligible.

Company

hirify.global develops products and technologies across a wide range of industrial and organizational applications.

What you will do

• Lead the architecture and development of scalable, secure data pipelines for AI and machine learning workloads.
• Own end-to-end data engineering across ingestion, transformation, storage, quality, and monitoring.
• Collaborate with data scientists and ML engineers on features, training pipelines, and deployment.
• Establish best practices for data modeling, orchestration, versioning, and performance optimization.
• Ensure data governance, lineage, compliance, and production support for real-time and batch processing.
• Mentor junior engineers and contribute to technical roadmaps and solution patterns.

Requirements

• Bachelor's degree or higher in computer science from an accredited institution, completed and verified before starting.
• At least seven years of data engineering experience, including leadership of technical initiatives.
• Strong expertise in Python, SQL, and distributed data systems.
• Experience building AI/ML-ready data pipelines, feature stores, and model training data flows.
• Experience with cloud platforms, preferably Azure, and workflow orchestration tools.
• Must be legally authorized to work in the United States without employment visa sponsorship.

Nice to have

• Experience with Spark, Databricks, Synapse, Data Lake, Data Factory, Cosmos DB, Airflow, Kafka, or Event Hub.
• Understanding of ML lifecycles and MLOps practices.
• Familiarity with vector databases, embeddings, or LLM-oriented data pipelines.
• Background in DevOps, CI/CD, or infrastructure as code.
• Strong communication skills and experience translating business needs into technical solutions.

Culture & Benefits

• Collaborate with colleagues across global locations, technologies, and products.
• Access medical, dental, vision, health savings, flexible spending, disability, life insurance, paid absence, and retirement benefits, subject to eligibility.
• Follow corporate security, confidentiality, safety, and environmental health and safety standards.
• US-based full-time employees must sign an employee agreement covering confidential information, trade secrets, conflicts of interest, and inventions.