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Data Engineer Project Jobs (NOW HIRING)

Lorven Technologies

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Hi Our client is looking for a Data Engineer project in Hartford, CT below is the detailed requirement. Job positing Title: Data Engineer Location: Hartford, CT Required Skills: Python, Pyspark ...

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Lorven Technologies

GCP Data Engineer

Charlotte, NC · On-site

$103K - $124K/yr

Hi Our client is looking for a GCP Data Engineer project in Charlotte, NC below is the detailed requirement. Job positing Title: GCP Data Engineer Location: Charlotte, NC Required Skills: GCP,SQL ...

Lorven Technologies

GCP Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Our client is looking GCP Data Engineer project , below is the detailed requirements. Position: GCP Data Engineer Location: Charlotte, NC; Oakland, CA or Mountain View, CA Long term * Bachelor ...

Lorven Technologies

Lead GCP Data Engineer

Charlotte, NC · On-site

$93K - $122K/yr

Hi Our client is looking for a Lead GCP Data Engineer project in Charlotte, NC below is the detailed requirement. Job positing Title: Lead GCP Data Engineer Location: Charlotte, NC Required Skills:

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Data Engineer Project information

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$46K

$165K

$243.5K

How much do data engineer project jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data engineer project in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Engineer Project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by Data Engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
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Data Engineer Project jobs near you
Data Engineer - Project Delivery Specialist

Data Engineer - Project Delivery Specialist

Deloitte

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

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