Data Engineer

Incedo Inc.; Florham Park (NJ); On-site; USD 70,000 - 90,000; Full time

Job summary

A technology solutions provider in Florham Park is seeking a motivated Data Engineer to develop data infrastructure and analytics workflows. This role offers recent graduates a chance to gain practical experience in a business environment. Responsibilities include designing ETL workflows, collaborating with teams to understand data needs, and writing efficient SQL scripts. The ideal candidate should have a strong knowledge of SQL, basic scripting skills, and a willingness to learn new technologies. Great communication and teamwork abilities are essential.

Qualifications

• Recent graduates are encouraged to apply for hands-on experience.
• Familiarity with cloud platforms like AWS, Azure, or GCP is a plus.
• Understanding of data structures, algorithms, and data modeling required.

Responsibilities

• Assist in designing and maintaining data pipelines and ETL workflows.
• Support data extraction, transformation, and loading from structured and unstructured sources.
• Collaborate with teams to understand data requirements.
• Write SQL queries and scripts for processing datasets.
• Support data quality initiatives through testing and validation.
• Monitor and troubleshoot data pipeline issues.

Skills

Strong knowledge of SQL

Basic understanding of Python

Familiarity with MySQL

Familiarity with PostgreSQL

Familiarity with SQL Server

Good problem-solving skills

Excellent communication abilities

Teamwork abilities

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Technology

Bachelor’s degree in Engineering

Bachelor’s degree in a related field

Job description

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Job Description

We are looking for a motivated and detail-oriented Data Engineer to join our team. This is a great opportunity for recent graduates to gain hands‑on experience working with data infrastructure, pipelines, and analytics in a real‑world business environment.

Key Responsibilities

• Assist in designing, developing, and maintaining data pipelines and ETL workflows.
• Support the extraction, transformation, and loading (ETL) of data from various structured and unstructured sources.
• Collaborate with data analysts, engineers, and business teams to understand data requirements.
• Write efficient SQL queries and scripts to process and validate large datasets.
• Work with cloud platforms like AWS, Azure, or GCP (training or guidance will be provided).
• Support data quality initiatives by conducting testing, validation, and documentation.
• Monitor and troubleshoot data pipeline issues as needed.

Required Skills

• Strong knowledge of SQL and basic understanding of Python or another scripting language.
• Familiarity with databases such as MySQL, PostgreSQL, or SQL Server.
• Basic understanding of data structures, algorithms, and data modeling.
• Good problem‑solving skills and willingness to learn new technologies.
• Excellent communication and teamwork abilities.