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Data Engineer With Jobs (NOW HIRING)

Azure Data Engineer

$117K - $140K/yr

Seeking outstanding Azure Data Engineers with various levels of experience to be responsible for the innovative design and implementation of data solutions. Candidates will build enterprise data ...

Data Engineer

Denver, CO ยท 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 โ€ข Data Engineer with 8 years of experience and good exposure ...

Job Summary - Data Engineer with GCP - Role: Senior Data Engineer (GCP) - Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite) - Citizenship: US Citizen only - Experience: 12+ years overall; 4+ ...

Role: Data Engineer with DynamoDB Location: Miami, FL-Onsite Duration: Long Term DynamoDB experience mandatory Skills * Hands on data engineering experience with proven track record of building ...

Data Engineer

Herndon, VA ยท Hybrid

$117K - $141K/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 ...

Data Engineer with Security Clearance

Chantilly, VA ยท On-site

$118K - $142K/yr

Overview We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have ...

Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

Python, Pyspark, Bigquery, GCP We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, Google Cloud Platform (GCP), and BigQuery to design, develop, and optimize ...

Azure Data Engineer

Riverside, NJ ยท On-site

$115K - $138K/yr

Delran, NJ Duration: 12 months * 6+ years of total experience as a Data Engineer with very strong data engineering/data analytics skills. * Experience of the following core Azure data components Data ...

New

Azure Data Engineer

Skokie, IL ยท On-site

$115K - $138K/yr

Azure Data Engineer The client is looking for an Azure Data Engineer with experience designing and building data warehouses in Azure leveraging Microsoft Azure Cloud computing. This role involves ...

Data Engineer

Irving, TX ยท On-site

$109K - $132K/yr

Hybrid 3 Days Onsite per Week Experience: 10+ Years We are looking for a highly skilled and hands-on Data Engineer with strong expertise in Databricks, Python, and SQL. The ideal candidate should ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Hybrid 3 Days Onsite per Week Experience: 10+ Years We are looking for a highly skilled and hands-on Data Engineer with strong expertise in Databricks, Python, and SQL. The ideal candidate should ...

Data Engineer with Palantir

Dallas, TX ยท On-site

$113K - $136K/yr

Strong Experience with programming languages using Python and SQL is must. * Strong Experience with Palantir foundry software is must. * Strong experience in analyzing large data set and resolve ...

Back-End Data Engineer

San Bruno, CA

$136K - $164K/yr

Looking for a backend data engineer with Apache Sprak, Hive and Airflow knowledge. Must-haves Excellent knowledge with SQL and Hive (HiveQL) Ability to build data pipelines using PySpark, Hive, and ...

Data Engineer with Security Clearance

Chantilly, VA ยท On-site

$118K - $142K/yr

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your ...

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Data Engineer With information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer with jobs pay per year?

As of Jun 25, 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:
Infographic showing various Data Engineer With job openings in the United States as of June 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.

W2 - Data Engineer with Java - Reston, VA

Cliff Services Inc

Reston, VA โ€ข On-site

$119K - $143K/yr

Other

Posted 8 days ago


Job description

Role: Data Engineer with Java

Client Location: Reston, VA

Work Mode: 5 days onsite (No remote/hybrid exceptions)

Must Have Skills:

We are seeking a skilled Java FSD with Data Engineer with experience designing, building, and supporting enterprise data solutions, including Master Data Management applications (Preferred), dcloud-native services, and modern data platforms. The ideal candidate will have strong hands-on experience with Java enterprise development, AWS microservices, Redshift, Aurora PostgreSQL, SQL/PLSQL, GitLab, and Terraform. This role will support the development, enhancement, and operational stability of data capabilities that enable enterprise data management, integration, analytics, and downstream business consumption. Ideal Candidate Profile

The ideal candidate is a hands-on data engineer who can work across application development, database engineering, cloud infrastructure, and production support. They should be comfortable building scalable data services, supporting enterprise MDM capabilities, and working closely with cross-functional teams to deliver secure, reliable, and maintainable solutions.

Key Responsibilities

Design, build, enhance, and support Master Data Management applications and related data services. (Prefered)

Develop and maintain enterprise-grade applications using Java and related frameworks.

Build and support cloud-native microservices on AWS, leveraging services such as:

  • Amazon ECS
  • AWS Lambda
  • Amazon EC2

Design and implement scalable data solutions using Amazon Redshift and Amazon Aurora PostgreSQL. Develop, optimize, and troubleshoot complex database logic using SQL and PL/SQL

Build and maintain automated deployment pipelines using GitLab CI/CD.

Develop and manage cloud infrastructure using Terraform and infrastructure-as-code practices.