Associate Data Engineer
Qode, Florham Park, NJ, United States
Associate, Data Engineer
Location: Florham Park, NJ
Full‑Time
Role Description
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.
Technical 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
Skills & Qualifications
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
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Location: Florham Park, NJ
Full‑Time
Role Description
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.
Technical 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
Skills & Qualifications
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
#J-18808-Ljbffr