$130,000–$150,000 Per Year
Job Title: Lead Analytics and AI Engineer
Location-Type: 100% Remote (working EST hours)
Start Date Is: ASAP
Duration: Permanent FTE
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
Must-Haves:
- 5–10 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