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Data Engineer Jobs (NOW HIRING)

PUIG

Data Engineer

North Brunswick, NJ · On-site

$120K - $145K/yr

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design. As ...

New

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Biztec Global LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

As a Data Engineer, you will help build and maintain data solutions that enable analytics, reporting, and business decision-making across the organization. Working alongside data engineers ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Role:-Data Engineer Position type: Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional ...

Ruri Software Technologies LLC

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Data Engineer Duration : 8+ Months Location : Onsite Denver CO (Only local Profiles) Required Skills - SQL Developer, Snowflake Nice to have skills - Python, DB scripting Job Summary • Data ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

City of New York

Data Engineer

Manhattan, NY

$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 ...

ShortList Recruitment Limited

$105K - $127K/yr

\n \n \n Data Engineer Columbia, SC $100,000 ShortList is looking for a Data Engineer to underpin a new AI programme of work for a leading not\-for\-profit in Columbia, SC. The Data Engineer will work ...

Changeis

Data Engineer

$117K - $140K/yr

Data Engineer - Expression of Interest At ChangeIs, we collaborate with U.S. Federal organizations to deliver innovative data solutions, and we're continually seeking talented Data Engineers for ...

CosmoProf

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano Texas. About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

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 ...

CosmoProf

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano Texas. About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful ...

CosmoProf

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano Texas. About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful ...

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Showing results 21-40

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 Aug 9, 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. 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

PUIG

North Brunswick, NJ • On-site

$120K - $145K/yr

Full-time

Posted 2 days ago

New

Job description

The Opportunity

Design, build and operate enterprise-grade data infrastructure, reusable data pipelines and governed data assets that enable analytics, AI and business decision-making across the organization.

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design.

As part of Technology Architecture, the Data Engineer contributes to shared data capabilities that support Data & AI Tech Factory delivery, business data domains, AI engineering and analytics teams across the enterprise.

What you'll get to do
Strategy & Roadmap
  • Contribute to the evolution of the enterprise data platform and data engineering standards.
  • Help define reusable patterns for ingestion, transformation, orchestration, monitoring and data productization.
  • Support the modernization of analytics and AI data foundations on Google Cloud Platform.
  • Promote cloud-first, governed and AI-ready approaches to enterprise data engineering.
  • Identify opportunities to reduce duplication and increase reuse across data pipelines, datasets and platform components.
Delivery & Execution
  • Design, build and maintain scalable data pipelines and data processing workflows using Google Cloud Platform services.
  • Develop BigQuery data models, curated datasets and reusable data layers optimized for analytics and AI consumption.
  • Create automated ETL/ELT processes to ingest, clean, enrich and transform data from multiple enterprise and third-party sources.
  • Implement batch, near-real-time and event-driven data flows where appropriate, ensuring performance, reliability and operational resilience.
  • Support integrations between cloud systems, on-premise systems and third-party applications where data movement or data availability is required.
  • Build and optimize data workflows using services such as BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Run, Dataflow, Dataproc and Cloud Composer.
  • Collaborate with AI Engineering teams to create AI-ready datasets, feature-ready structures and reliable data foundations for ML and GenAI use cases.
  • Maintain documentation of data workflows, architectures, data models, dependencies and operational procedures.
Governance & Compliance
  • Apply data governance standards for data quality, lineage, metadata, cataloging, documentation and traceability.
  • Implement security and privacy controls, including access management, encryption, role-based access and secure data sharing practices.
  • Ensure pipelines and datasets comply with internal governance, GDPR and relevant data protection expectations.
  • Contribute to observability, monitoring and alerting practices around data pipelines and data platform components.
  • Support responsible AI by ensuring that AI-consuming teams rely on trusted, documented, governed and high-quality datasets.
Stakeholder Management
  • Collaborate with Miquel Orengo and Technology Architecture stakeholders to align delivery with technical standards and platform priorities.
  • Work with Data & AI Tech Factory squads to provide reusable data foundations for domain delivery.
  • Partner with Business Data, Consumer Data, Digital Analytics and other data-consuming teams to understand requirements and translate them into scalable technical solutions.
  • Coordinate with Integration Engineering when data flows require cross-system connectivity or API-enabled movement.
  • Communicate technical constraints and data engineering decisions clearly to both technical and non-technical stakeholders.
Team Leadership
  • Act as a strong individual contributor within the Data Engineering capability.
  • Share engineering standards, patterns and good practices with peers and delivery squads.
  • Support code reviews, design reviews and quality gates where requested by the Data & AI Engineering Manager.
  • Mentor junior contributors or external partners when appropriate, without formal people-management responsibility.

Contribute to continuous improvement of development standards, release practices and data engineering maturity.

We'd love to meet you if you have
  • 3-6 years of experience in data engineering, analytics engineering, cloud data engineering or enterprise data platform roles.
  • Proven hands-on experience building scalable data solutions on Google Cloud Platform, especially with BigQuery.
  • Experience designing and operating ETL/ELT pipelines, data models, data warehouses or lakehouse-style architectures.
  • Experience with data governance, data quality, metadata, lineage or secure data access practices.
  • Experience supporting analytics and AI use cases through trusted datasets and production-grade data flows.
  • Experience integrating cloud systems with on-premise or third-party data sources is valuable.

We welcome Creators Of All Kinds. If you are unsure of meeting all the requirements but trust you have the transferable skills to excel in this role, complete the application and our teams will get in touch if you are selected for an interview. 

A few things you'll love about us
  • An entrepreneurial, creative and welcoming work culture
  • A range of learning and development opportunities
  • An international company with plenty of opportunities to grow
  • A competitive compensation & benefits package

Apply