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Data Engineer With Jobs (NOW HIRING)

Ruri Software Technologies LLC

Data Engineer with GCP

$117K - $140K/yr

Data engineer with GCP Location : FL /TX Skills:- * Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery ...

Staffingine LLC

Data Engineer with Data Bricks

Dallas, TX · On-site

$113K - $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

Learn Beyond Consulting LLC

Data Engineer_ W2

Charlotte, NC · On-site

$111K - $134K/yr

Candidates with Five9 or Genesys Cloud (GECX) experience are highly preferred. Candidates with Genesys, IVR, or Contact Center experience combined with strong Google Cloud Platform Data Engineering ...

New

VDart, Inc.

Data Engineer with Java

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer with Java Location: Alpharetta, GA/Berkley Hills NJ(Hybrid) Duration: / Term: C2C Experience Desired: 8+ Years 1. Role Overview * Experienced Data Technical Lead to design, develop, and ...

New

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 ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications: Bachelor's degree in computer science, Engineering, Information Technology ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type: Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for ...

Data Machines

Data Engineer with Security Clearance

Reston, VA · On-site

$119K - $143K/yr

Collaborate with data analysts, data scientists, and software engineers to understand data needs * Ensure data quality, integrity, and consistency across all data systems * Maintain documentation for ...

B/Core

Data Engineer with Security Clearance

Herndon, VA · On-site

$175K - $195K/yr

Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or ...

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Implement data models (Bronze/Silver/Gold), optimize with partitioning, Z-ORDER, and indexing, and manage reliability (DLT/Jobs, monitoring, alerting). * Enable ML/AI: feature engineering, MLflow ...

Ruri Software Technologies LLC

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Onsite Denver CO (Only local Profiles) Required Skills - SQL Developer, Snowflake Nice to have skills - Python, DB scripting Job Summary • Data Engineer with 8 years of experience and good exposure ...

Navtech, Inc.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big ...

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Data Engineer With information

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$44.5K

$129.7K

$177.5K

How much do data engineer with jobs pay per year?

As of Jul 15, 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 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 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 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer with GCP

Data Engineer with GCP

Ruri Software Technologies LLC

Remote

$117K - $140K/yr

Full-time

Posted 26 days ago

Job description

Data engineer with GCP
Location : FL /TX
Skills:-
  • Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc.
  • Demonstrated mastery in Google BigQuery
  • Strong knowledge on Google cloud storage Data lifecycle management
  • Strong knowledge on BIGQuery Slots management
  • Cost optimization for Dataproc workload management
  • Implement solutions for structured, semi-structured, and unstructured data sources,relations
  • Advanced Python coding skills
  • Experience with CI-CD pipelines for promoting big data release deployments and designing(Nexus, Artifactory)

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