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Data Engineer With Jobs (NOW HIRING)

Argyle Infotech

Databricks Data Engineer with Pyspark

Dallas, TX · Hybrid

$113.70K - $136.60K/yr

Databricks Data Engineer Role: Databricks Data Engineer with Pyspark Profile Type: Hybrid Client Location: Dallas, TX JD: 8+ Years of experience as Databricks Data Engineer with Pyspark Share updated ...

AceStack LLC

Data Engineer with GCP

Jersey City, NJ

$119.50K - $143.50K/yr

Data Engineer with GCP Location: New Jersey (Local Prefers) Employment Type: Contract Job Summary: We are seeking a highly skilled Data Engineer with strong Google Cloud Platform (GCP) experience to ...

AceStack LLC

Data Engineer with Java

Sunnyvale, CA

$136.20K - $163.60K/yr

Role- Data Engineer with Java Location: Sunnyvale, CA (5x/ week onsite) Contract Experience Required: 8-10 * Oracle PL/SQL, Data Migration, Load / Performance testing. Java, Rest API' * Build and ...

AceStack LLC

Data Engineer with Java

Sunnyvale, CA · On-site

$136.20K - $163.60K/yr

Role- Data Engineer with Java Location: Sunnyvale, CA (5x/ week onsite) Contract Experience Required: 8-10 * Oracle PL/SQL, Data Migration, Load / Performance testing. Java, Rest API' * Build and ...

PeopleServe

Data Engineer with Java

New Boston, TX

$104.30K - $125.30K/yr

Data Engineer With Java Understand and execute on the product vision and team goals Find creative ways to get things done in the right way Champion a culture of best-in-class software engineering ...

Staffingine LLC

Data Engineer with Data Bricks

Dallas, TX · On-site

$113.30K - $136K/yr

Job Title: Data Engineer with Data Bricks Job Location: Dallas, TX Job Type: Contract * Need a consultant with 10+ years of over all experience * Need a strong Data Engg with Data Bricks exp

Info Way Solutions

Data engineer with python

Fremont, CA

$125.30K - $150.50K/yr

Data Engineer (with strong Python and AWS experience) Locations: DC/VA/MD (Onsite) Data Pipeline Development: Design, implement, and manage robust data pipelines using Python, PySpark, SQL to ...

Conflux Systems

Data Engineer with GCP

Nashville, TN · Remote

$60/hr

Job Posting Data Engineers with GCP with experience on data processing using Dataflow and Dataproc. Remote work: No Rate: USD $60/hr. Location: Nashville. Requirements: Bachelor's degree in computer ...

Conflux Systems

Data Engineer with GCP

Nashville, TN · On-site

$60/hr

Data Engineers with GCP with experience on data processing using Dataflow and Dataproc. Remote work: No rate :-USD $60/hr. Location : Nashville. Requirements: • Bachelor's degree in computer ...

Interon IT Solutions

Data Engineer with Credit Risk

New York, NY · On-site

$125.30K - $150.40K/yr

Job Title- Senior Data Engineer with Credit Risk Location- New York, NY (Need Onsite day 1, hybrid 3 days from office) . Our client is seeking a Senior Data Engineer with Credit Risk to join our team ...

Vir Healthway

Data Engineer with GCP

Nashville, TN

$60/hr

Data Engineers with GCP with experience on data processing using Dataflow and Dataproc. Remote work: No rate :-USD $60/hr. Location : Nashville. Requirements: • Bachelor's degree in computer ...

Kasmo Global

Data Engineer with ATACAMA

Raleigh, NC

$111.30K - $133.70K/yr

Data Engineer With ATACAMA Location: Atlanta, Charlotte, Raleigh Duration: Long term Contract Should be able to own the enterprise rollout and implementation of Alation, Manta, and Ataccama/BigEye ...

Diverse Lynx

GCP Data Engineer

Manhattan, NY

$126.20K - $151.60K/yr

New York, NY - onsite GCP, Terraform, GKE, Go Lang, API, Airflow, Spark, ETL, Bigdata " • 7+ years of hands on Data engineer in Google cloud platform (GCP) • strong GCP data engineer with GoLang ...

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Data Engineer With information

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$129.7K

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How much do data engineer with jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data engineer with 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 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 expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

More about Data Engineer With jobs
What cities are hiring for Data Engineer With jobs? Cities with the most Data Engineer With job openings:
What states have the most Data Engineer With jobs? States with the most job openings for Data Engineer With jobs include:
What job categories do people searching Data Engineer With jobs look for? The top searched job categories for Data Engineer With jobs are:
Data Engineer With jobs near you
Infographic showing various Data Engineer With job openings in the United States as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Databricks Data Engineer with Pyspark

Argyle Infotech

Dallas, TX • Hybrid

$113.70K - $136.60K/yr

Other

Posted 27 days ago

Job description

Databricks Data Engineer

Role: Databricks Data Engineer with Pyspark Profile Type: Hybrid Client Location: Dallas, TX JD: 8+ Years of experience as Databricks Data Engineer with Pyspark Share updated resume to: rahulk@argyllinfotech.

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