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Data Engineer Data Jobs (NOW HIRING)

Data Ideology LLC

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to ...

Kforce Technology Staffing

Data Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data pipelines and feature engineering workflows * Work with SQL and/or cloud-based data ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$111K - $133K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

Kasmo Global

Data Engineer 3

Peoria, IL · On-site

$112K - $134K/yr

Data Engineer 3 Requisition ID: 77753-1 Location: Peoria, IL - On-Site Duration: 24 months Typical task breakdown: * Develop and maintain data pipelines using Python, SQL, and Snowflake. * utomate ...

Redbeard Solutions

Data Engineer

Chicago, IL · On-site

$165K - $175K/yr

Data Engineer Boston, Massachusetts, United States Job Openings Data Engineer Job Title: Data Engineer - AI Platform Location: Boston, Chicago, New York City, San Francisco, Silicon Valley ...

Elder Research

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Elder Research

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

Koniag, Inc.

Data Engineer/Analyst

Huntsville, AL · On-site

$100K - $130K/yr

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis ...

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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 2% As Needed, 92% Full Time, 1% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Engineer

Data Engineer

Data Ideology LLC

Pittsburgh, PA • On-site, Remote

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com
Data Engineer
We are looking for a Data Engineer to join our growing team. Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.
Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.
  • Ability to collect and understand business requirements and translate those requirements into an actionable data warehouse plan.
  • Knowledge of multi-dimensional and tabular design patterns and ability to identify solutions that leverage these modeling techniques.
  • Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse built within those constraints.
  • Ability to define and implement best practices across database design and ETL.
  • Ability to direct the work of others, including but not limited to directing ETL development, demonstrating an understanding of key concepts of ETL/ELT, including best practices for optimization and scheduling.

Supervisory Responsibilities: None
Qualifications
Education and Experience:
  • Proven understanding of Data Warehousing, Data Architecture, and BI.
  • Experience with data pipelines and architecture/engineering.
  • Knowledge of modern apps and data platforms.
  • Cloud-based project implementation.
  • Python or Java experience is a plus

Knowledge, Skills, and Abilities:
  • BI/Data Warehousing (4+ years)
  • Cloud platforms (2+ years)
  • ETL (4+ years)
  • SQL (4+ years)
  • Data Modeling
  • Data Vault Modeling
  • Healthcare experience a plus

Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits: Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer

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