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Data Engineer With Jobs (NOW HIRING)

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

Senior Data Engineer with DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs We are seeking a Data Engineer with 5 ...

InfoVision, Inc.

Data Engineer with Palantir

Dallas, TX · 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 ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · 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 ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · 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 ...

Qode

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$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 ...

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate ...

Interon IT Solutions

Senior Data Engineer with MDM

Iselin, NJ · On-site

$107K - $146K/yr

Job title- Senior Data Engineer with MDM Location- Iselin, NJ (Need Onsite day 1, hybrid 3 days from office) . Our Client is seeking a Senior Data Engineer with MDM experience to join our team in ...

Qode

Data Engineer

Jackson, NJ · On-site

$116K - $140K/yr

New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate ...

The Consortium, Inc.

Senior Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville. Responsibilities of the Big Data Engineer: * Analyze system requirements and design responsive solutions

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$175K - $195K/yr

Overview 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 ...

Mondo

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

Seeking a highly technical Data Engineer with a software engineering foundation who can bridge business needs and analytics solutions, helping modernize data platforms, improve reporting capabilities ...

Mondo

Data Engineer

Manhattan, NY · Hybrid

$75 - $82/hr

Seeking a highly technical Data Engineer with a software engineering foundation who can bridge business needs and analytics solutions, helping modernize data platforms, improve reporting capabilities ...

Bridge Flair LLC

Data Engineer - W2

Malvern, PA · On-site

$112K - $134K/yr

GC-EAD, -EAD, TN Visa Job Summary We are seeking an experienced Data Engineer with expertise in Python, AWS Glue, ETL development, and Attunity. The ideal candidate will build and maintain scalable ...

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All JobsData Engineer With Jobs

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 DevOps

Data Engineer with DevOps

System One

Dallas, TX • On-site

$52.25 - $71.50/hr

Other

Posted 16 days ago

Job description

Job Title: Senior Data Engineer with DevOps

Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX

Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities:

  • Design and build scalable data pipelines aligned with business needs
  • Process large dataset (batch + sometimes near Realtime)
  • Ensure data quality, consistency, and governance standards across systems
  • Support data integration and transformation efforts for analytics and reporting platforms
  • Maintain data dictionaries, metadata, and documentation
  • Participate in data architecture reviews and model validation processes
  • Support analytics reporting and risk platforms.
Required Qualifications
  • 5+ years of experience in data engineering and big data processing
  • Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
  • Experience working with structured and semi structured data, including complex transformations and performance tuning
  • Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'
  • Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
  • Strong knowledge of SQL and data modeling concepts
  • Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
  • Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
  • Strong understanding of batch processing and batch job scheduling frameworks
  • Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
  • Fundamentals in Linux and Networking
  • Docker, OCP containerization / Kubernetes
  • Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle
  • Automate operational tasks using Python, Bash/Shell, and PowerShell
  • Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
  • Experience ensuring data quality, reliability, and compliance in regulated environments
  • Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams
  • Agile/Safe methodologies
Must Have Skills
  • Airflow
  • Containerization
  • DevOps
  • Elastic Stack & Elasticsearch
  • GitHub
  • Hadoop Hive
  • Jenkins
  • JSON Web Token (JWT)
  • Kubernetes
  • OpenShift
  • Oracle
  • Python
  • Shell Script
  • SQLite
Ref: #404-IT Pittsburgh