Factspan

End-to-end Data and AI solutions

Technical Lead

Data EngineeringConfirmed live in the last 24 hours

Full-timeOrlando, FL, USANo salary listedIn-person

About the Job

Requirements

A Bachelor's or Master's degree in Statistics, Mathematics, or Engineering.
At least 5 years of experience in relevant skill sets.
Strong analytical and logical thinking skills.
Java, Spark, and data engineering skills are required.

Responsibilities

Convert business stories into technical tasks for offshore developers.
Handle onshore-offshore calls and communication.
Release code in development and production environments.
Present phase demos to leadership, including directors and vice presidents.

Desired Qualifications

NoSQL experience is preferred.

Job Description

Roles and Responsibilities:

Will be responsible for taking business stories and convert them into a technical task for offshore developers
Will be responsible to onshore-offshore calls and communication
Will be responsible for releasing the codes in development and production environment
Will be responsible to conclude phases demo to leadership ( Directors & VP levels)

Skills Required:

Java
Spark
Data engineering ( no-sql is preferred)

Qualifications

Qualifications & Skill Sets :

Bachelor’s or Master’s degree in Statistics/Mathematics/Engineering
Possess strong analytical/logical thinking skills
Must have 5+ Years of Experience in Relevant Skill Sets.

Additional Information

Reference Links:

www.factspan.com
www.linkedin.com/company/factspan-inc
www.facebook.com/factspan

About the Company

Factspan

End-to-end Data and AI solutions

Factspan is a data and AI company that helps global enterprises optimize business outcomes through end-to-end data and AI services. It covers the full lifecycle from strategic visioning and data strategy to engineering, analytics, AI model development, deployment, and governance, delivering pragmatic solutions across industries. Unlike many vendors, Factspan emphasizes a customer-centric approach and has a track record of partnering with Fortune 500 companies, applying cross‑industry innovations to real business problems. The company’s goal is to turn data-driven insights into tangible improvements in performance, efficiency, and decision making for large organizations.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Seattle, WA
Founded: 2012

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