Lead AI Engineer

Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position.

Job Title: Lead Analytics and AI Engineer
Location-Type: Remote (EST hours; optional access to NYC office)
Start Date Is: ASAP
Duration: Permanent
Compensation Range: $130,000 – $150,000 base salary bonus
Benefits: Medical, dental, vision, 401k, PTO
Not eligible for visa sponsorship

Job Description:
Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions.

Day-to-Day Responsibilities:

• Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions

• Design and build scalable data pipelines, ETL/ELT workflows, and data platform components

• Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions

• Build and optimize solutions in Databricks for analytics, reporting, and AI use cases

• Create documentation and technical requirements for offshore development teams

• Guide offshore execution and ensure solutions are delivered accurately and efficiently

• Improve data quality, performance, monitoring, and reliability across pipelines and platforms

• Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture

Requirements:

Must-Haves:

• 6–10 years of experience in data engineering, analytics engineering, or related roles

• Strong hands-on Python and SQL skills

• Experience building and maintaining ETL/ELT pipelines and data workflows

• Strong background in data engineering, data pipelines, and data warehousing

• Databricks experience

• Experience designing and delivering data and AI solutions

• Ability to translate business needs into technical solutions

• Strong communication skills and comfort in a client-facing environment

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Nice-to-Haves:

• AWS experience

• Experience with AI/ML tools or AI solution development

• Experience with workflow orchestration tools such as Airflow

• Experience with API-based ingestion and modern cloud data platforms

• Experience supporting near real-time analytics or reporting environments