Lead AI Engineer
New York, NY, 10022
Reference ID: 32219618
Date Posted: 05/01/2026
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:
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Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions
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Design and build scalable data pipelines, ETL/ELT workflows, and data platform components
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Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions
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Build and optimize solutions in Databricks for analytics, reporting, and AI use cases
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Create documentation and technical requirements for offshore development teams
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Guide offshore execution and ensure solutions are delivered accurately and efficiently
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Improve data quality, performance, monitoring, and reliability across pipelines and platforms
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Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture
Requirements:
Must-Haves:
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6–10 years of experience in data engineering, analytics engineering, or related roles
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Strong hands-on Python and SQL skills
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Experience building and maintaining ETL/ELT pipelines and data workflows
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Strong background in data engineering, data pipelines, and data warehousing
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Databricks experience
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Experience designing and delivering data and AI solutions
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Ability to translate business needs into technical solutions
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Strong communication skills and comfort in a client-facing environment
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Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
Nice-to-Haves:
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AWS experience
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Experience with AI/ML tools or AI solution development
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Experience with workflow orchestration tools such as Airflow
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Experience with API-based ingestion and modern cloud data platforms
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Experience supporting near real-time analytics or reporting environments
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