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Data Engineer Salary Jobs (NOW HIRING)

Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc. Location: East Lansing, MI (Onsite) Applicants must be authorized to work for ...

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications * Bachelor s degree * 3+ years of ...

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

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.

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.

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Data Engineer Hybrid • Remote - Baltimore, MD Overview Salary Range $126,000.00 - $142,000.00 Salary/year Level Experienced Education Level 4 Year Degree Data Engineer Index Analytics, LLC, is a ...

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.

Data Engineer

Denver, CO · On-site

$170K - $220K/yr

Sr. Data Engineer Windfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data ... Salary range is $170k - $220k About Windfall Windfall is a people intelligence and AI company that ...

Data Engineer

San Francisco, CA · On-site

$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 ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure ... The salary may vary within the anticipated range based on factors such as the ultimate location of ...

Data Engineer

Irvine, CA · On-site

$115K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines ... Geographic Disclosure Compensation Range: $115,000 - $145,000 annual salary Other Compensation:

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Data Engineer Lehi, UT (Onsite) Full-Time At Serenity Mental Health Centers, we are on a mission to ... Competitive salary * Excellent Benefits - 90% coverage for medical, dental, and vision * 401(k) ...

OR

$111K/yr

Data Engineer needed for Planet Equity Group located in Westlake, OH. Perform data engineering ... Min. salary of $111,571.00 Employee Type: Regular

Data Engineer

Offutt Air Force Base, NE · On-site

$77K - $176K/yr

Data Engineer Offutt AFB, NE Secret Polygraph Unspecified Career Level not specified $77,500 - $176 ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

As a Sr. Data Engineer on our data team, you will be building out the core data asset that ... Salary range is $170k - $220k About Windfall Windfall is a people intelligence and AI company that ...

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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 8, 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

CFS

Lansing, MI • On-site

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago


Job description

Position: Data Engineer
Salary: $125,000-$155,000
Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc.
Location: East Lansing, MI (Onsite)
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

Why You Should Apply:

  • Outstanding culture with a family-oriented feel, where technology is highly valued.

  • Competitive compensation and benefits package with $0 cost healthcare options.

  • Work in a modern environment with the latest tools, collaborative spaces, and a strong focus on professional growth.

Job Summary:
We are seeking a Data Engineer with strong SQL skills and hands-on experience working with enterprise data warehouse environments. This role will play a key part in building and maintaining scalable data solutions using Microsoft Fabric and Power BI. If you're passionate about transforming raw data into meaningful insights and enjoy collaborating across teams to support analytics initiatives, this could be a great fit.
Responsibilities of the Senior Data Engineer:

  • Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems.
  • Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory.
  • Write advanced SQL queries, stored procedures, and functions to support high-performance data operations.
  • Apply best practices in data modeling for enterprise-scale data warehouse environments.
  • Architect and manage data warehouse solutions using Microsoft Fabric’s Data Warehouse and OneLake.
  • Ensure consistency, reliability, and scalability of data across reporting and analytics platforms.
  • Work closely with developers to structure data for efficient Power BI usage, including semantic modeling and partitioning.
  • Collaborate with business analysts and stakeholders to gather requirements and deliver clean, actionable datasets.
  • Provide guidance on SQL optimization, data governance, and reporting standards.

Preferred Experience of the Senior Data Engineer:

  • Advanced SQL skills, including query tuning, indexing, and performance optimization.
  • Experience with enterprise data warehouse architecture and implementation.
  • Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI.
  • Solid understanding of data modeling techniques (e.g., star schema, snowflake schema, normalization).
  • Experience with data integration, data orchestration and data ingestion
  • Familiarity with ETL/ELT processes and orchestration frameworks.
  • Strong analytical thinking and problem-solving capabilities.
  • Excellent communication and collaboration skills.
  • Comfortable working in agile, fast-paced environments.
  • Bonus: Experience with real-time analytics and large-scale data processing.
  • Bonus: Experience with Microsoft Fabric