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Data Engineer Jobs (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data ...

Adidev Technologies Inc

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 data team. In this role, you will be responsible for building and maintaining scalable data ...

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 ...

Andromeda Systems Incorporated

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross-functional data professionals to ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

City of New York

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

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 ...

AaraTechnologies Inc

DATA ENGINEER

Kansas City, MO · On-site

$111K - $134K/yr

Data Engineer Banking (1 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial ...

Tandym Tech

Data Engineer

Millburn, NJ · On-site

$114K - $137K/yr

A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team. About the Opportunity: * Shift: Day shift * Schedule: Monday to ...

New

Urban SDK

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal ...

Syntricate Technologies

Data Engineer

Quincy, MA · On-site

$120K - $144K/yr

Job tittle - Data Engineer Duration: Full-time Location - Quincy, MA (Onsite) Data Engineer for databricks/ Hadoop/ scala Hadoop, Databricks, Scala Senior/Lead developer position who has extensive ...

City of New York

Data Engineer

Manhattan, NY · Hybrid

$125K - $150K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

Intellisoft Technologies

Data Engineer

$58/hr

Senior Data Engineer Position: Senior Data Engineer Location: Remote Duration: 6+ Months Client: National Grid - Boston Visa Restrictions: None Sub Vending: No Pay Rate: $58/Hr on W2 without benefits ...

Full Scope

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer Location: San Francisco, CA Required Clearance : Secret Salary: Competitive We are looking for a skilled Data Engineer with a strong focus on AI and machine learning to join our dynamic ...

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

DATA ENGINEER LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED) INTERVIEW: FACE TO FACE EXPECTED JOINING TIME (2 WEEKS) NEED PHOTO ID / LINKEDIN LINK ...

Onebridge

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprisescale data pipelines that power analytics, reporting, marketing insights, and ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

Onebridge

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprise-scale data pipelines that power analytics, reporting, marketing insights, and ...

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All JobsData Engineer Jobs

Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer jobs pay per year?

As of Jul 4, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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Who are the top companies hiring for Data Engineer jobs? The top employers for Data Engineer jobs are:
What states have the most Data Engineer jobs? States with the most job openings for Data Engineer jobs include:
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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 2% As Needed, 93% Full Time, 1% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

CYNET SYSTEMS

Mason, OH • On-site

$52 - $57/hr

Contractor

Posted 6 hours ago

Job description

Job Overview:
 
Pay Range: $52hr - $57hr
  • Data Engineering Tech Lead (7-10+ Years Experience) Role Overview.
  • We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data engineering solutions across enterprise platforms.
  • The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions.
Responsibilities:
  • Data Engineering & Architecture Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build robust data ingestion frameworks for structured and unstructured data sources.
  • Architect and implement data lakes, data warehouses, and data marts.
  • Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines.
  • Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks.
  • Enable integration across upstream and downstream systems Database & Data Modeling Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems).
  • Develop complex SQL queries, stored procedures, and performance tuning strategies Implement data models (dimensional, star/snowflake schemas).
  • Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows.
  • Ensure availability, scalability, and reliability of data environments Leadership & Technical Mentoring Lead and mentor a team of Data Engineers and Developers Guide best practices, coding standards, and performance optimization Conduct code reviews, design reviews, and technical decision-making.
  • Foster a culture of continuous improvement and innovation.
  • Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives.
  • Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions.
  • Translate business needs into technical data solutions and architecture designs Data Quality, Governance & Compliance Implement frameworks for data quality, validation, and monitoring.
  • Ensure compliance with enterprise data governance and security standards Support regulatory and audit requirements where applicable.
Required Skills and Experience:
  • 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration.
  • Data warehousing and data modeling concepts.
  • Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/GCP).
  • Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines.
  • Proven experience in leading and mentoring engineering teams.
Preferred Skills:
  • Experience in Healthcare / Insurance / Data Analytics platforms.
  • Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.).
  • Experience in data governance and data quality frameworks.
  • Familiarity with API integrations and microservices architecture.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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