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Data Engineer Jobs (NOW HIRING)

Data Ideology

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/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 ...

OSI Engineering, Inc.

Data Engineer

Cupertino, CA · Hybrid

$52 - $67/hr

This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services. Responsibilities: • Build and ...

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 ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Prophecy Technologies

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Role Summary We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design, development, and optimization of enterprise data solutions using Microsoft Azure and ...

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

Purple Drive Technologies

Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time Opportunity Job Summary We are seeking a highly skilled Data Engineer with strong platform engineering and data pipeline expertise to support ...

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

AMB Sports & Entertainment

Data Engineer

Mercedes, TX

$107K - $129K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

Accenture Federal Services

Data Engineer

$117K - $140K/yr

The Data Engineer role involves designing and maintaining scalable data pipelines, integrating diverse data sources, and collaborating with cross-functional teams to develop data solutions that ...

Pantar Solutions, Inc.

Data Engineer

San Francisco, CA

$134K - $162K/yr

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration Hands ...

Accenture Federal Services

Data Engineer

$117K - $140K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.

Infinitive Inc

Data Engineer

Decatur, GA · On-site

$111K - $134K/yr

Role Overview We are seeking a skilled and driven Data Engineer to support the design, build, and maintenance of scalable data pipelines and integration solutions supporting a federal client. This ...

Accenture Federal Services

Data Engineer

$117K - $140K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.

Infinitive Inc

Data Engineer

Decatur, GA · On-site

$111K - $134K/yr

Role Overview We are seeking a skilled and driven Data Engineer to support the design, build, and maintenance of scalable data pipelines and integration solutions supporting a federal client. This ...

Accenture Federal Services

Data Engineer

$117K - $140K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.

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All JobsData Engineer Jobs

Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data engineer 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 difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Data Ideology

Pittsburgh, PA • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 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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