Associate Data Engineer

Qode • New Jersey, NJ

22h • Onsite

About The Position

Incedo is a US-based consulting, data science, and technology services firm with more than 3,000 professionals across the US, Mexico, and India. We help clients achieve competitive advantage through end-to-end digital transformation, combining deep engineering, data science, and design capabilities with strong domain expertise. Our teams deliver measurable business impact across telecom, banking, wealth management, product engineering, and life sciences & healthcare. At Incedo, you'll work with industry-leading clients and collaborate with experts in technology and domain strategy. Our learning platform, Incedo University, supports your growth from day one with structured onboarding, continuous learning programs, and clear career pathways. We also foster a collaborative, engaging workplace with regular team events and a friendly environment. Our mission is to enable our clients to maximize business impact from technology by harnessing the transformational power of emerging technologies and bridging the gap between business and engineering. As an Associate Data Engineer at Incedo, you will build and maintain data systems that transform raw information into reliable, accessible datasets used by analysts, data scientists, and business stakeholders. You will work with diverse data sources, develop scalable pipelines, and contribute to analytics solutions that support decision-making for Fortune 20 clients. This role requires strong analytical skills, attention to detail, and the ability to collaborate across technical and business teams.

Requirements

• Bachelor’s degree in Computer Science, IT, or a related field
• Strong understanding of data models, data mining, and segmentation techniques
• Hands-on experience with SQL and database design
• Proficiency in programming languages such as Python or R
• Experience using AI-native tools (e.g., Copilot-style assistants) to enhance productivity and code quality
• Strong analytical and problem-solving skills
• Ability to communicate effectively with technical and non-technical audiences
• Self-motivated, accountable, and able to work both independently and in a team

Responsibilities

• Analyze, clean, and organize raw data from multiple sources
• Build and maintain scalable data pipelines and data systems
• Develop and manage datasets to support analytics and reporting
• Improve data quality, reliability, and efficiency
• Conduct complex data analysis and communicate insights
• Prepare data for predictive and prescriptive modeling
• Build prototypes, algorithms, and analytical tools
• Identify opportunities for new data acquisition
• Collaborate with data scientists, architects, and engineering teams

Benefits

• Structured onboarding
• Continuous learning programs
• Clear career pathways
• Collaborative, engaging workplace with regular team events and a friendly environment

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level