1

Data Engineer Salary Jobs (NOW HIRING)

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc. Location: East Lansing, MI area (Onsite) Why You Should Apply:

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc. Location: East Lansing, MI area (Onsite) Why You Should Apply:

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

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based ... Rather, salary will be set based on experience, geographic location and possibly contractual ...

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based ... Rather, salary will be set based on experience, geographic location and possibly contractual ...

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

Urbandale, IA · On-site

$80K - $120K/yr

Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more ... Salary Range: $80,000-$120,000/year: Commensurate with experience About RFA Engineering RFA ...

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 ...

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 ...

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

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

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 ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years Salary ₹8 LPA - ₹18 LPA (Based on experience and skills) Job Summary We are looking for a skilled ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/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

Arlington, VA · On-site

$62K - $141K/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 ...

next page

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 Jul 20, 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

Senior Data Engineer

CFS

Lansing, MI • On-site

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


Job description

Position: Senior Data Engineer
Salary: $125,000-$155,000
Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc.
Location: East Lansing, MI area (Onsite)
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.
Summary of the Senior Data Engineer Role: We are seeking a Senior 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
#DataEngineer