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Data Engineers Jobs (NOW HIRING)

Saxon Global

Data Engineer II

Frisco, TX

$107K - $128K/yr

Data Engineers are involved in the full systems life cycle and therefore responsible for designing, coding, testing, implementing and supporting data platforms and processes that are delivered on ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows-with ...

Andromeda Systems Incorporated

Data Engineer

Jacksonville, FL · On-site

$96K - $116K/yr

Serve as a senior technical resource to junior and mid-level data engineers, offering mentorship and guiding architectural decisions * Work directly with customers to clarify requirements, present ...

Apex Informatics

Lead Engineer, Data Platform

$117K - $140K/yr

Communication Skills Data Engineers are part of a team, working with database administrators, data analysts and management and need to be effective communicators. * Problem-Solving Skills Data ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows-with ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows--with ...

General Motors

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability ...

Perpay - Career's Page

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Data Engineers partner directly with Engineering, Risk, Commerce, Accounting, and Compliance, owning both the platform infrastructure and the business problems it's built to solve. Our data ...

Rhombus Power, Inc.

Data Engineer, Palo Alto

Palo Alto, CA · On-site

$110K - $180K/yr

Our Data Engineers work cross functionally with other departments to meet business needs. They utilize their skills at all stages of the analytics pipeline to create results that drive business ...

KaashTech LLC

Data Engineer

Tampa, FL · On-site

$104K - $125K/yr

Mentor junior data engineers and provide guidance on best practices in data management and visualization. RequirementsRequired Skills: * Strong expertise in Tableau Prep Flow & Tableau Desktop for ...

WellDyne

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Mentor data engineers across all levels, fostering a culture of technical excellence, knowledge sharing, and continuous improvement. Data Architecture and Modeling: * Partner with the Architecture ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

... software engineers. • Own and improve data quality, validation, and governance processes. • Monitor data pipelines and proactively address performance and reliability issues. • Mentor and ...

WELLDYNE

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Mentor data engineers across all levels, fostering a culture of technical excellence, knowledge sharing, and continuous improvement. Data Architecture and Modeling: * Partner with the Architecture ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery ...

Goldenpick Technologies

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

We are seeking experienced Data Engineers to join a leading financial services organization. The ideal candidate will have hands-on expertise in cloud-based data platforms (AWS) , Agile delivery ...

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Data Engineers information

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$44.5K

$129.7K

$177.5K

How much do data engineers jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data engineers in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, it is considered a well-paying role in the tech field.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

What does a data engineer actually do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $500,000 or more, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How do Data Engineers typically collaborate with Data Scientists and other team members on data-driven projects?

Data Engineers play a crucial role in enabling data-driven projects by designing, building, and maintaining the data infrastructure that Data Scientists and analysts rely on. They often work closely with Data Scientists to understand their data requirements, ensure data quality, and optimize data pipelines for efficient analysis. Collaboration involves frequent communication to align on data formats, data availability, and performance needs, as well as troubleshooting issues that may arise with data ingestion or transformation. This teamwork ensures that data is accessible, reliable, and actionable, which is essential for successful analytical and machine learning initiatives.

What is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

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 skills in programming (especially Python, Java, or Scala), database management, data modeling, and typically a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms (AWS, Azure, or GCP) as well as relevant certifications are common technical requirements. Excellent problem-solving, attention to detail, and effective communication are soft skills that help Data Engineers excel in collaborative and fast-paced environments. These skills are crucial for ensuring robust, scalable, and efficient data pipelines that support reliable analytics and business decision-making.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain systems that collect, store, and process large amounts of data. Their primary role is to ensure that data is accessible, reliable, and efficiently structured for analysis by data scientists and other stakeholders. They work with various tools and technologies to create pipelines that move and transform data from multiple sources, making it usable for business intelligence and analytics. Data Engineers also focus on optimizing data workflows to ensure scalability and performance.
More about Data Engineers jobs
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Data Engineers jobs near you

Secret-Cleared Data Engineer

PTF Consulting, LLC

Washington, DC • On-site

$100K - $160K/yr

Full-time

Posted 11 days ago

Job description

Direct Hire |DC Metro Area | Active Secret Clearance Required

About the Opportunity

PTF Consulting is supporting direct-hire opportunities for Junior and Senior Data Engineers supporting mission-driven data initiatives in international environments.

In these roles, you will help organize, process, and transform structured and unstructured data into meaningful solutions that support reporting, analytics, and operational decision-making. You will work alongside analysts, engineers, developers, and data consumers in a collaborative, fast-paced technical environment.

These positions are ideal for cleared Data Engineers who are interested in applying their technical skills to impactful work while supporting important missions overseas.

What You'll Do
  • Design, develop, deploy, and maintain data pipelines, workflows, and data applications.
  • Support reporting and analytics solutions using structured and unstructured data.
  • Retrieve, parse, process, and organize data from disparate sources.
  • Contribute to data engineering activities across mission-driven projects.
  • Work with cross-functional teams, including analysts, developers, engineers, and data consumers.
  • Support analytical exploration, data examination, and the development of meaningful data solutions.
  • For senior-level candidates, responsibilities may also include helping assess, design, build, and maintain enterprise-scale analytic solutions.
Required Qualifications

For Junior Data Engineer candidates:

  • 2+ years of experience using programming or querying languages such as Python, R, Scala, or SQL.
  • 2+ years of experience developing and maintaining data applications for reporting and analytics.
  • Experience creating workflows for retrieving, parsing, and processing structured and unstructured data.

For Senior Data Engineer candidates:

  • 5+ years of experience in data engineering, application development, data science, or a related technical field.
  • 3+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale.
  • 3+ years of experience with Python, SQL, Scala, or R.

All candidates must have:

  • Experience creating solutions in a collaborative, cross-functional team environment.
  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related technical field.
  • Active Secret clearance.
  • U.S. citizenship.
  • Ability to access restricted facilities as required by the role.
Preferred Qualifications
  • Experience with Palantir tools, including Foundry.
  • Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
  • Experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS.
  • Experience working in Agile engineering environments.
  • Experience supporting a Combatant Command or other DoD organization.
  • TS/SCI clearance.
Clearance Requirement

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. An active Secret clearance is required.

Employment Type

Direct Hire

Why This Role

This is a strong opportunity for cleared Data Engineers who want to use their technical background in a mission-focused environment while supporting international programs. Whether you are early in your data engineering career or bring senior-level enterprise experience, these roles offer the chance to work on meaningful data challenges with real operational impact.

Equal Employment Opportunity Statement

PTF Consulting, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, age, or any other status protected by applicable law.