ZipRecruiter

Log In

1

Data Engineer Jobs (NOW HIRING)

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 ...

Delaware Nation Industries

Data Engineer

Dahlgren, VA · On-site

$116K - $140K/yr

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS) Task Order 2. The Data Engineer will design, implement ...

Delaware Nation Industries

Data Engineer

Dahlgren, VA · On-site

$116K - $140K/yr

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS) Task Order 2. The Data Engineer will design, implement ...

Addison Group

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental, Vision, 401(k) We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

SCI SOLUTIONS GLOBAL

Data Engineer

Chicago, IL · On-site

$35 - $38/hr

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment Type: W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Senior Data Engineer Location: Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads ...

Tredence Analytic

Data Engineer

Chicago, IL

$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 ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and ...

Kanak Elite Services Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Role: Data Engineer. Location: McLean VA -hybrid Duration : Contract Tech stack: Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads ...

Systech Corp, Inc.

Data Engineer

Texas City, TX · On-site

$98K - $117K/yr

Data Engineer We are looking for an experienced Data Engineer with 8+ years of experience in designing, developing, and maintaining scalable data solutions. Responsibilities * Design and develop data ...

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 · 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 ...

Amphenol TCS

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

Data Engineer Location: Nashua NH The Data Engineer will support the Information Systems Lead by building and maintaining the data pipelines, integrations, lakehouse structures, and curated data ...

Packsize International

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this hands-on technical role, you will ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

Lorven Technologies

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Our client is looking Data Engineer for Long Term project in Houston, TX (onsite only) Below is the detail requirement. Title - Data Engineer Location - Houston, TX (onsite only) Contract duration ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition #710 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

previous page

Showing results 41-60

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 Sep 10, 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 a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about DATA Engineer jobs

What cities are hiring for Data Engineer jobs?

Cities with the most Data Engineer job openings:

What are the most commonly searched types of Data Engineer jobs?

The most popular types of Data Engineer jobs are:

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:

What are popular job titles related to Data Engineer jobs?

For Data Engineer jobs, the most frequently searched job titles are:

DATA Engineer jobs near you
Infographic showing various Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Jersey City, NJ • On-site

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

$125K - $150K/yr

Full-time

Re-posted 27 days ago

Job description

Job Title: 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 pipelines, optimizing data workflows, and supporting analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization.
Key Responsibilities:
  • Design, develop, and maintain robust and scalable data pipelines (ETL/ELT) using modern data engineering tools and frameworks.
  • Build and optimize data architecture and data models to support analytics and reporting needs.
  • Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data platform.
  • Implement data quality checks and ensure data integrity across all pipelines.
  • Collaborate with stakeholders to understand data requirements and deliver timely, high-quality data solutions.
  • Monitor data pipeline performance and troubleshoot data-related issues.
  • Ensure compliance with data governance and data security policies.
  • Automate manual processes and improve data workflows for efficiency and scalability.
  • Support deployment and operation of data infrastructure in cloud environments (e.g., AWS, Azure, GCP).

Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 2+ years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt).
  • Proficiency in at least one programming language (e.g., Python, Java, Scala).
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery, or Snowflake.
  • Understanding of data warehousing concepts and dimensional modeling.
  • Experience with version control systems like Git.

Preferred Qualifications:
  • Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink).
  • Knowledge of CI/CD and DevOps practices in a data engineering context.
  • Familiarity with data governance tools and practices (e.g., data catalogs, lineage tracking).
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

What We Offer:
  • Competitive salary and benefits package.
  • Flexible work hours and remote work options.
  • Opportunity to work with a talented and passionate team on cutting-edge data projects.
  • Professional development opportunities and career growth support.

Apply