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Data Engineer Data Jobs (NOW HIRING)

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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 ...

Plugins Inc

Data Engineer Data Quality & Validation

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer - Data Quality & Validation Location: Dallas, TX (Hybrid - 3 Days Onsite) Job Type: Long-Term Contract Employment Type: W2 Only Interview Process: In-Person Client Interview (Mandatory ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions. Responsibilities * Design and implement ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions. Responsibilities * Design and implement ...

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 Jul 14, 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
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Data Engineer Data jobs near you
Infographic showing various Data Engineer Data 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 $165,018 per year, or $79.3 per hour.
Data Engineer /Data Analyst consultant

Data Engineer /Data Analyst consultant

Apex Informatics

Cupertino, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Data Engineer /Data Analyst consultant
Onsite- Cupertino, CA
Looking for a 5-6 yrs experienced Data Engineer /Data Analyst consultant on-site in Cupertino with SQL/Postgres, tableau, dbt and basic python .. real good resumes and good communication skills

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