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Data Engineer Salary Jobs (NOW HIRING)

Redbeard Solutions

Data Engineer

Chicago, IL · On-site

$165K - $175K/yr

Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC Number of openings: 1 Experience: 5+ years of professional experience as a data engineer Salary: $165,000 - $175,000 ...

Urban SDK

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Salary Based on Experience * Annual Bonus * Medical, Vision, Dental, 401(k) * 21 Days Vacation

RJW Logistics

Data Engineer

Romeoville, IL · On-site

$100K - $115K/yr

Data Engineer Salary: $100,000 - $115,000 annually + MyShare Equity Program Hybrid: Onsite 0-1 days per week in Romeoville, depending on business needs. Job Purpose: As a Data Engineer your focus ...

Bright Vision Technologies

AI Data Engineer

Floral Park, NY · Remote

$122K - $146K/yr

AI Data Engineer Salary Range: 100k$/Annum-150k$/Annum Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or ...

Prosum Inc.

Senior Data Engineer

Calabasas, CA · On-site

$140K - $156K/yr

Senior Data Engineer Salary Range: $140k to $156k We are seeking a Senior Data Engineer to support data integration and platform initiatives within a large-scale, multi-unit restaurant organization.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Competitive salary and performance-based incentives. * Comprehensive health, dental, and vision ...

The Cypress Group

Data Engineer

New York, NY · Hybrid

$150K - $183K/yr

They are currently expanding their Data Engineering team based in New York City, NY. This role is ... This role features competitive base salary and performance-based bonus, comprehensive health ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Competitive salary and benefits package. * Flexible work hours and remote work options.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Competitive salary and performance-based incentives. * Comprehensive health, dental, and vision ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Competitive salary and benefits package. * Flexible work hours and remote work options.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Competitive salary and performance-based incentives. * Comprehensive health, dental, and vision ...

Full Scope

Data Engineer

San Francisco, CA

$134K - $162K/yr

Secret Salary: Competitive We are looking for a skilled Data Engineer with a strong focus on AI and machine learning to join our dynamic team. The ideal candidate will play a critical role in ...

Booz Allen Hamilton

Data Engineer

Fort George G Meade, MD · Hybrid

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

IMC Inc

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

Data Engineer Chicago, United States We are seeking a dedicated and experienced Data Engineer to ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

Booz Allen Hamilton

Data Engineer

Fort George G Meade, MD · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Astreya

Data Engineer

Santa Clara, CA

$85K - $134K/yr

POSITION OVERVIEW The Data Engineer is responsible for the integration build, data pipeline ... Salary Range $85,120.00 - $134,400.00 USD (Salary) * Please note that the salary information ...

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All JobsData Engineer Salary Jobs

Data Engineer Salary information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer salary jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data engineer salary 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.

What is the average salary of a Data Engineer?

The average salary of a Data Engineer varies depending on experience, location, and industry, but in the United States, it typically ranges from $90,000 to $140,000 per year. Entry-level positions may start around $80,000, while experienced data engineers or those in tech hubs like San Francisco or New York can earn upwards of $150,000 or more. Factors such as certifications, advanced degrees, and specialized skills in big data technologies can also influence salary.

What engineer makes $500,000 a year?

A senior data engineer with extensive experience, specialized skills in big data tools, and working in high-paying industries or companies can earn $500,000 or more annually. Such roles often require advanced certifications, leadership responsibilities, and a strong track record of managing large-scale data infrastructure.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, specialized skills in big data tools, and advanced certifications can earn salaries around $300,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, data architecture, and leadership roles.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools can augment their work but do not eliminate the need for human expertise in complex data projects.

What is the difference between Data Engineer Salary vs Data Scientist Salary?

AspectData Engineer SalaryData Scientist Salary
Required CredentialsBachelor's in CS, Engineering, or related field; experience with SQL, Python, ETL toolsBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, machine learning
Work EnvironmentData pipelines, database management, cloud platformsData analysis, modeling, predictive analytics
Employer & Industry UsageTech companies, finance, healthcare, retailTech firms, research institutions, finance, marketing

While both roles require strong technical skills and familiarity with data tools, Data Engineers focus on building and maintaining data infrastructure, earning a median salary typically slightly lower than Data Scientists, who analyze data to generate insights and predictive models. Salary differences depend on experience, location, and industry.

What are some common challenges Data Engineers face when working with large-scale data systems?

Data Engineers often encounter challenges related to the scalability and reliability of data pipelines, especially as data volume and variety increase. Ensuring data quality, minimizing downtime, and managing evolving data schemas are frequent hurdles. Additionally, collaborating with data scientists and analysts to understand their requirements and deliver timely, usable datasets can be complex. Staying updated with rapidly changing technologies and best practices is also essential for long-term success in this role.

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 data modeling, ETL (extract, transform, load) processes, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with database systems (SQL/NoSQL), cloud platforms (AWS, Azure, GCP), and data pipeline tools (Apache Spark, Kafka) is typically required, with certifications in these areas being advantageous. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting complex data issues. These skills ensure reliable data infrastructure, support business intelligence, and enable scalable data-driven decision-making.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their expertise in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role in the tech field.
More about Data Engineer Salary jobs
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Data Engineer Salary jobs near you
Infographic showing various Data Engineer Salary job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Redbeard Solutions

Chicago, IL • On-site

$165K - $175K/yr

Other

Posted 20 days ago

Key responsibilities

  • Design and build robust data ingestion and processing pipelines to support AI and GenAI applications.

  • Develop and maintain high-quality Python-based data workflows, including testing and validation.

  • Collaborate with cross-functional teams including software engineers, data scientists, and UI/UX designers.

Job description

Data Engineer

Boston, Massachusetts, United States Job Openings Data Engineer

Job Title: Data Engineer - AI Platform

Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC

Number of openings: 1

Experience: 5+ years of professional experience as a data engineer

Salary: $165,000 - $175,000

Clearance: Secret (prefer TS)

Position Summary

We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge initiatives involving generative AI, large-scale data systems, and cloud-native architectures.

You will partner with a multidisciplinary team of engineers, data scientists, and product stakeholders to design and implement scalable data infrastructure. The primary focus will be enabling platform capabilities tailored for government and defense-related environments.

Key Responsibilities
  • Design and build robust data ingestion and processing pipelines to support AI and GenAI applications
  • Develop and maintain high-quality Python-based data workflows, including testing and validation
  • Collaborate with cross-functional teams including software engineers, data scientists, and UI/UX designers
  • Implement and enhance CI/CD pipelines (including GitHub Actions) to streamline deployment and integration processes
  • Work across multi-cloud environments (AWS primarily; exposure to Azure and GCP is beneficial)
  • Utilize containerization technologies (Docker) to support scalable and portable deployments
  • Contribute to the development and optimization of data systems used by generative AI applications
  • Ensure performance, reliability, and scalability of data pipelines through monitoring and diagnostics
What You'll Experience
  • Opportunity to work on high-impact AI platform initiatives
  • A fast-paced, performance-driven environment with strong technical mentorship
  • Continuous learning through structured development programs and real-world problem solving
  • A collaborative culture that values innovation, ownership, and diverse perspectives
  • Exposure to globally distributed teams and modern engineering practices
  • Competitive compensation along with a comprehensive benefits package
Required Qualifications
  • U.S. Citizenship is required
  • Prior experience supporting defense or government environments, including handling classified or sensitive data
  • Active Secret clearance required (Top Secret or higher preferred)
  • 5+ years of experience in data engineering, with a strong focus on cloud-based solutions
Technical Skills & Expertise
  • Strong proficiency in Python for data engineering and pipeline development
  • Hands-on experience with AWS-based data engineering (experience with Azure or GCP is a plus)
  • Deep understanding of data modeling, data ingestion frameworks, and pipeline architecture
  • Experience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databases
  • Expertise in writing clean, maintainable, and testable code, including automation and error handling best practices
  • Practical experience with Docker and containerized workflows
  • Strong background in data pipeline performance tuning, monitoring, and troubleshooting
  • Excellent analytical and problem-solving capabilities
  • Effective communication skills and ability to collaborate within cross-functional teams

Apply