Data Engineer

Qode; New Jersey; On-site; USD 90,000 - 120,000; Full time

Job summary

Qode is seeking Data Engineers to build and maintain data systems, converting raw data into usable information for analytics and business decision-making. Success in this role requires strong analytical and problem-solving skills, proficiency in SQL database design, and programming knowledge in R and Python.

The ideal candidate will work collaboratively on various projects, analyze trends, and improve data quality to enhance business performance.

Qualifications

• Technical expertise with data models, mining, and segmentation techniques.
• Hands-on experience with SQL database design.
• Ability to communicate effectively with technical and non-technical audiences.

Responsibilities

• Analyzing and organizing raw data.
• Developing and maintaining datasets.
• Improving data quality and efficiency.
• Building data systems and pipelines.
• Evaluating business needs and objectives.

Skills

Analytical skills

Problem-solving skills

Data models expertise

SQL database design

Programming languages (R, Python)

Education

Bachelor’s Degree in Computer Science, IT, or similar

Job description

Data Engineers at Incedo build and maintain data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune20 customers.

To succeed in the Data Engineering position, you should have strong analytical and problem‑solving skills and the ability to combine data from different sources. We’re looking for data engineers who can create algorithms, conduct statistical analysis, and integrate raw information from various sources to create consistent, machine‑readable formats.

As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. The ultimate goal is to make data accessible so that various stakeholders and clients can evaluate and optimize their business performance.

Responsibilities

• Analyzing and organizing raw data
• Developing and maintaining datasets
• Improving data quality and efficiency
• Building data systems and pipelines
• Evaluating business needs and objectives
• Interpreting trends and patterns
• Conducting complex data analysis and reporting on results
• Preparing data for prescriptive and predictive modeling
• Building algorithms and prototypes
• Combining raw information from different sources
• Exploring ways to enhance data quality and reliability
• Identifying opportunities for data acquisition
• Developing analytical tools and programs
• Collaborating with data scientists and architects on several projects

Qualifications

• Technical expertise with data models, data mining, and segmentation techniques
• Strong analytical and problem‑solving skills
• Hands‑on experience with SQL database design
• Knowledge of programming languages (R, Python)
• Bachelor’s Degree in Computer Science, IT, or a similar field
• High motivation with a sense of ownership and accountability
• Quick learner with a positive attitude
• Genuine team player, able to work well in a team and independently
• Ability to communicate effectively with technical and non‑technical audiences