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Data Engineer

Qode Open · verified Oct 24, 2026
On-site New Jersey, United States Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Qode. New Jersey, United States · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.

Estimated pay

Qode has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationNew Jersey, United States
WorkplaceOn-site
EmploymentFull-time
PostedJan 30, 2026 · 8mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn raw data into organized datasets that analysts and data scientists can use
  • Build and maintain data pipelines, improving the quality and reliability of the information they carry
  • Analyze data for trends and patterns, then share findings to support business decisions
  • Prepare data for predictive and prescriptive models, and create algorithms, prototypes and analytical tools
  • Work with data scientists and architects on projects, combining information from different sources

What you bring

  • A bachelor’s degree in computer science, IT or a related field
  • Practical experience designing SQL databases and working with data models, mining and segmentation
  • Knowledge of R or Python, plus strong analytical and problem-solving ability
  • Clear communication with both technical and non-technical audiences

Who this fits

This role suits a mid-level data engineer who can take ownership, work independently and contribute as part of a team. The position is listed as onsite in the United States.

From the employer

Build Your own Job Description! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 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, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? 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. Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities:  Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects Other skills and competence  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 similar field  Highly motivated with a sense of ownership and accountability.  Quick learner with a great attitude.  Genuine team player, able to work well and pleasantly in a team and work independently for the team  Ability to communicate effectively with technical and non-technical audiences
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.