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Data Engineer Salary Jobs (NOW HIRING)

Data Engineer

Manhattan, NY ยท On-site +1

$110K - $140K/yr

New York City (hybrid) or Fully Remote in the United States SALARY : $110,000 - $140,000 (based on NYC, will be adjusted for geo) The Role: We are seeking a Data Engineer to join our Data Engineering ...

Data Engineer

Chantilly, VA ยท On-site

$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 ...

Data Engineer

San Diego, CA ยท On-site

$61K - $141K/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 ...

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

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

Data Engineer

New York, NY ยท On-site +1

$125K - $150K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data ... Market-based salary with annual reviews. * Unlimited PTO: Take the time you need to recharge and ...

Data Engineer

Arlington, VA ยท On-site

$62K - $141K/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 ...

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 ...

R0237363 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

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

Data Engineer

Wharton, NJ ยท On-site

$77K - $176K/yr

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

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 ...

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

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

Data Engineer

Boston, MA ยท Hybrid

$124K - $149K/yr

About the job Data Engineer $115,000 - $145,000 About the company: Atlantic Talent is proud to be ... Competitive salary with performance-based incentives. * Comprehensive health, dental, and vision ...

Data Engineer

Jamul, CA

$61K - $141K/yr

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

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

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

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

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Showing results 1-20

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 9, 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 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.
More about Data Engineer Salary jobs
What cities are hiring for Data Engineer Salary jobs? Cities with the most Data Engineer Salary job openings:
What states have the most Data Engineer Salary jobs? States with the most job openings for Data Engineer Salary jobs include:
Infographic showing various Data Engineer Salary job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Canoe Intelligence

Manhattan, NY โ€ข On-site, Remote

$110K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Engineer

LOCATION: New York City (hybrid) or Fully Remote in the United States

SALARY: $110,000 - $140,000 (based on NYC, will be adjusted for geo)

The Role:

We are seeking a Data Engineer to join our Data Engineering team. This team is building the data foundations of Canoeโ€™s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years. You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering teamโ€™s future direction.

What Youโ€™ll Do:

  • Contribute to the design and development of our Data platform.

  • Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems.

  • Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings.

  • Participate in cross-functional teams as Data Engineeringโ€™s representative.

  • Build observable systems and be an organization leader in operational excellence.

What Weโ€™re Looking For:

  • Minimum 5 years of experience in software development, with at least two in a Data Engineering role

  • Experience with SQL Databases and relational data modeling.

  • Experience working with data at scale.

  • A strong sense of ownership and accountability.

  • Curiosity and a willingness to learn new technologies.

  • Great communication skills.

  • A history of working well with technical and non-technical stakeholders.

  • Bachelorโ€™s degree in Computer Science, Engineering, or a related field (or equivalent experience).

  • Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool.

What Youโ€™ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First โ€”> Listen, and deliver client-centric solutions

  • Be An Owner โ€”> Take initiative, improve situations, drive positive outcomes

  • Excellence โ€”> Always set the highest standard for yourself and others

  • Win Together โ€”> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoeโ€™s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoeโ€™s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.