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IntelliPro Group Inc.

Senior Backend Engineer-Data Lake Engineering(can not provide visa support)

Sorry, this job was removed at 04:12 p.m. (EST) on Wednesday, Apr 01, 2026
In-Office or Remote
Hiring Remotely in CA
In-Office or Remote
Hiring Remotely in CA

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Job Title: Senior Software Engineer - Data Lake Engineering
Position Type: Full-time
Location: Remote in Boston, Chicago, Dallas, New York, Seattle, San Francisco Bay Area
Salary Range: $145000 - $160000 (USD)
About the Job:
The Data Lake Engineering team is seeking a highly motivated and passionate Senior Software Engineer to join us in building our next-generation data platform. This is a fantastic opportunity to build your career by contributing to a critical platform that powers modern data management, AI, and business intelligence. As a member of our team, you'll be part of a collaborative environment focused on solving large-scale, complex problems. We're looking for someone eager to learn, grow, and apply foundational engineering skills to make a real business impact.
Responsibilities:
  • Develop and maintain our data lake platform and related services.
  • Write and test high-quality, reliable code for data pipelines and platform components.
  • Collaborate with senior engineers to understand design and architecture principles.
  • Participate in code reviews to learn from and contribute to the team's engineering standards.
  • Help troubleshoot and resolve issues in development and production environments.
  • Contribute to the documentation of our platform, systems, and tools.
  • Demonstrate a strong passion for continuous learning and improving technical skills.
Qualifications:
  • Proven experience in business development, strategic partnerships, or enterprise sales in tech/AI.
  • 5+ years of experience in software design and development, with a focus on building large-scale, distributed systems.
  • Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot).
  • Proficiency in languages like Python is highly desirable.
  • Experience with AI-native development workflows, leveraging advanced coding assistants to accelerate complex problem-solving and optimize code quality.
  • Experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and/or Azure.
  • Experience in CI/CD automation and frameworks.
  • A strong desire to learn about data engineering, large-scale data systems, and AI technologies.
  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Good problem-solving skills and a proactive attitude.
  • Excellent communication and teamwork skills

About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

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