Lead Data Engineer (AI/ML)

Location: Remote in the United States; the listing also identifies the workplace type as on-site. Up to 5% primarily domestic travel may be required. Relocation is not authorized.

Compensation: $188,251–$230,084, including base pay plus variable incentive pay if eligible.

Company

hirify.global develops creative solutions across global locations, technologies, and products.

What you will do

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

Requirements

• Bachelor’s degree or higher in computer science, completed and verified before starting.
• At least seven years of data engineering experience, including leading technical initiatives in a private, public, government, or military environment.
• Must be legally authorized to work in the United States without employment visa sponsorship.
• Required application materials must include education and work history through a resume or completed application fields.

Nice to have

• Strong expertise in Python, SQL, and distributed data systems such as Spark, Databricks, or Synapse.
• Experience building AI/ML-ready data pipelines, feature stores, and model-training data flows.
• Hands-on experience with cloud platforms, preferably Azure, including Data Lake, Data Factory, Databricks, and Cosmos DB.
• Understanding of ML concepts, lifecycle management, and MLOps practices.
• Experience with workflow orchestration tools such as Airflow, Data Factory, or Synapse Pipelines.
• Experience with streaming platforms such as Kafka or Event Hub; familiarity with vector databases, embeddings, or LLM-oriented data pipelines.
• Background in DevOps, CI/CD, or infrastructure as code, plus the ability to translate business needs into technical solutions.

Culture & Benefits

• Full-time employment with benefits including medical, dental and vision coverage, health savings and flexible spending accounts, disability and life insurance, paid absences, and retirement benefits.
• Work supports collaboration with colleagues across global locations and technologies.
• Employees must follow corporate policies, procedures, security standards, and environmental health and safety practices.
• All US-based full-time employees must sign an employee agreement covering confidential information, trade secrets, conflicts of interest, and invention assignment; additional restrictions may apply to Job Grade 7 or equivalent and above.

Hiring process

• Provide education and work history either by uploading a resume or entering the information directly into the application fields.
• Confirm acceptance of the applicable terms of use and privacy policy before submitting the application.