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Data Engineer Project Jobs in McKinney, TX (NOW HIRING)

Saxon Global

Data Engineer II

Frisco, TX

$107K - $128K/yr

Individuals also provide input to project plans related to their responsibilities. * They ensure ... Data Engineers understand the methodologies and technologies that manage the flow of data within ...

Select Minds LLC

AWS Data Engineer

Dallas, TX · On-site

$60 - $65/hr

... migration projects. - Use Python (primary language) along with SQL and PySpark to develop data ... DevOps and CI/CD practices where needed Qualifications - 8-12 years of experience in Data ...

Deloitte

Data Engineer II

Dallas, TX · On-site

$113K - $136K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite ...

Texas Instruments

Data Engineer

Sherman, TX

$102K - $122K/yr

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking ... Strong project management skills. * Designed and developed software solutions that significantly ...

Pwc

Data Engineer - Senior Manager

Dallas, TX · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Syntricate Technologies

Senior Big Data/Data Engineer

Plano, TX · On-site

$53.75 - $71/hr

Syntricate Technologies is seeking a Senior Big Data/Data Engineer to join their team in Plano, TX. ... project management services. Founded in 2004, the company is headquartered in Boston, USA, with a ...

Anblicks

SQL Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

SQL Data Engineer Location: Dallas, TX Duration: 12+ months Rate: Open Skills: Bachelor's degree 5. ... SQL Server Database experience • Expertise in translating business requirements to project design ...

IBM

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

From day one, you'll collaborate with global clients and contribute to projects that help ... As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex ...

Deloitte

Sr Databricks Data Engineer

Dallas, TX

$113K - $136K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. Data Governance: Consult on, design, and implement governance, security ...

TEKsystems

Data Engineer

Coppell, TX

$50 - $80/hr

... projects that power dashboards, self-service analytics, and data science. Experience with ... Principal Engineers and supporting analysts. ● Organized and detail-driven with solid ...

Select Minds LLC

AWS Data Engineer

Dallas, TX · On-site

$60 - $65/hr

... migration projects. - Use Python (primary language) along with SQL and PySpark to develop data ... DevOps and CI/CD practices where needed Qualifications - 8-12 years of experience in Data ...

Citi

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

The Sr Data Engineer, AVP is an intermediate level position responsible for participation in the ... project management techniques/methods Ability to work under pressure and manage deadlines or ...

Lennar

Lead Data Engineer

Irving, TX · On-site +1

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Managing multi-repository dbt projects * Creating and managing dbt models * Creating and leveraging ...

Lennar

Lead Data Engineer

Irving, TX · Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Managing multi-repository dbt projects * Creating and managing dbt models * Creating and leveraging ...

Vital IT Services

Senior Data Engineer (Remote)

Allen, TX · Remote

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project coordinators to evaluate business needs and develop reports and dashboards to support strategic goals.

IT America Inc

Cloud Data Engineer

Dallas, TX · Remote

Cloud Data Engineer Location: Remote (Needs to travel to client site when required with your own ... Strong project planning and estimating skills related to area of expertise * Strong communication ...

Omni Hotels & Resorts

Cloud Data Engineer

Dallas, TX · On-site

$55.25 - $73/hr

Omni's Cloud Data Engineer specializing in Microsoft Fabric is responsible for designing, building ... Use structured decision-making and following project timelines to complete projects * Dev and Prod ...

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Showing results 41-60

All JobsData Engineer Project JobsData Engineer Project Jobs in McKinney, TX

Data Engineer Project information

See McKinney, TX salary details

$42.7K

$153.1K

$226K

How much do data engineer project jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer project in McKinney, TX is $153,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $157,800.00 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 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.

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.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in McKinney, TX?

For Data Engineer Project jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in McKinney, TX look for?

The top searched job categories for Data Engineer Project jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Data Engineer Project jobs?

Cities near McKinney, TX with the most Data Engineer Project job openings:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in McKinney, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $153,143 per year, or $73.6 per hour.

Data Engineer

Texas State Library and Archives Commision

Plano, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 15 days ago

Job description

The Enterprise Data Management Services team is looking for a strong, self-motivated Technology Developer to become an integral part of the Data Resiliency program.
Responsibilities include but are not limited to: Developing and enhancing application components for supporting ML/AI models and data ingestion processes, with focus on code resiliency and stability. Interacting & leading a team of developers, and interacting with business partners and develop processes to ensure that ML/AI models are production-ready Developing, enhancing, modifying and/or maintaining applications Working in a fast paced agile environment, under minimal supervision, with guidance from senior team members Participating in analysis on operational issues Participating in peer reviews for designs, code, and other work productsStrong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge
Overview:
Assess requirement and evaluate existing solutions
Build Process to interact with HDFS and Oracle using Python/ PySpark and Oracle PL/ SQL
Create Workflows, jobs and schedule them using Autosys
Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data as per acceptance criteria
Develops and executes test plans to produce quantitative results, identifies test issues and errors, and triages underlying causes
Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
Ability to work independently with solid analytical skills
Ability to work with the team; excellent team player with great attitude
Data Resiliency Capabilities
Top 3 skills:
1. Oracle & PL/SQL Knowledge (Expert level)
2. Hadoop ecosystem, Hive Tables
3. Python/PySpark
Preferred Skills:
1. Autosys
2. Agile
Other Required Skills:Strong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge

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