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DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education High School / GED Security Clearance ...

Omni Inclusive

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Data Engineer Data Engineer - Databases (Oracle, Netezza, SQL Server), Hands-on experience with Hadoop, Python, Impala etc. Roles and Responsibilities: - Work as a member of support team to resolve ...

The Ceres Group

Azure Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Azure Data Engineer Data Analyst Boston, MA Not For Profit JO-1707-477 The client is looking for an experienced, collaborative Data Engineer to join our team in the ongoing development and support of ...

New

Recruit Professional Services

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell, and R. * Design, write, and optimize SQL queries for performance and scalability. * Help modernize ...

Infobahn SoftWorld Inc

Data Engineer @ AUSTIN,TX

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Austin, TX 12+ Months Contract lOOKING FOR INDEPENDENT VISA HOLDERS WHO CAN WORK ON W2; NO SUB-VENDORS ; NO C2C; NO 1099 Position Summary We are seeking a Software Engineer (Data ...

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Data Engineer Data information

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$46K

$165K

$243.5K

How much do data engineer data jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data engineer data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
More about Data Engineer Data jobs
What cities are hiring for Data Engineer Data jobs? Cities with the most Data Engineer Data job openings:
What states have the most Data Engineer Data jobs? States with the most job openings for Data Engineer Data jobs include:
What job categories do people searching Data Engineer Data jobs look for? The top searched job categories for Data Engineer Data jobs are:
Data Engineer Data jobs near you
Infographic showing various Data Engineer Data job openings in the United States as of June 2026, with employment types broken down into 61% Full Time, 36% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Sr. Data Engineer - Data Engineer III

Sr. Data Engineer - Data Engineer III

Deloitte

Philadelphia, PA • On-site

$115K - $138K/yr

Full-time

Posted 8 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 139 rated financial services

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