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Data Engineer With Jobs (NOW HIRING)

MSR Cosmos

Data Engineer with DynamoDB

Miami, FL · On-site

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 ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

VTG

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/yr

Overview VTG is 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 ...

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

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+ ...

WorkNovas LLC

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Sunnyvale, CA & Bentonville, AR - (On-Site) -     Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka ...

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 ...

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 ...

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 ...

System One

Data Engineer with DevOps

Farmers Branch, TX · On-site

$50.75 - $69.50/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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 DynamoDB

MSR Cosmos

Miami, FL • On-site

Contractor

Re-posted 3 hours ago

Job description

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 production data pipelines
  • Expert level proficiency in Python for data processing, ETL development, and automation (PySpark)
  • Deep experience with AWS Glue including job development, crawlers, triggers, and workflow orchestration
  • Strong expertise in DynamoDB data modeling, capacity planning, streams, and performance optimization
  • Solid understanding of AWS ecosystem: S3, Lambda, Step Functions, CloudWatch, IAM, KMS, Kinesis
  • Proficiency with Postman for API development, testing, and collaboration
  • Strong SQL skills and understanding of data warehousing principles
  • Experience with version control (Git), CI/CD tools, and infrastructure as code (CloudFormation/Terraform)
Thanks
Ramesh
ramesh(at)msrcosmos(dot)com