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Software Engineer Big Data Platform Engineering Jobs

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

The ideal candidate will have deep expertise in distributed systems, cloud platforms, and modern ... Extensive knowledge of industry leading software engineering approaches including Test Automation ...

Engineering/Operations Excellence: * Helps identify gaps between system components and designs and ... Big Data Technologies: Extensive hands-on experience with Hadoop, Spark, Hive, and Trino for ...

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

... data platforms. • Monitor and troubleshoot performance issues in large-scale clusters. • ... Software Engineering, or a related field. • Proficiency in business process modeling and ...

... Big Data / Cloud technology. As a result, the candidate will be expected to work autonomously ... S. citizenship required. * 9+ years of experience in Platform Engineering or Software Development ...

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Software Engineer Big Data Platform Engineering information

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How much do software engineer big data platform engineering jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for software engineer big data platform engineering in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

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For Software Engineer Big Data Platform Engineering jobs, the most frequently searched job titles are:

Infographic showing various Software Engineer Big Data Platform Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Cloud Big Data Software Engineer

Annapolis Junction, MD • On-site

Cymertek Corporation
IT Services • 11 - 50 employees

$57 - $75.25/hr

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Cymertek Corporation is seeking a skilled Cloud Big Data Software Engineer to join their team and play a pivotal role in designing and developing cloud-based big data solutions. The role involves building scalable systems capable of handling large volumes of data and collaborating with data teams to drive impactful projects.
Responsibilities:
• Design and implement big data solutions in cloud environments
• Develop and maintain data pipelines for large-scale processing
• Optimize system performance and scalability
• Collaborate with data teams to define requirements and solutions
• Ensure data security and compliance standards are met
• Document system architecture and workflows
Qualifications:
Required:
• Proficiency in programming languages like Python or Java
• Experience with cloud platforms like AWS, Azure, or GCP
• Expertise in big data tools such as Hadoop, Spark, or Kafka
• Knowledge of distributed systems and parallel processing
• Understanding of SQL and NoSQL databases
• Familiarity with containerization technologies like Docker
• Bachelor's Degree in Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Applied Mathematics, Information Systems, Data Analytics, Electrical Engineering, Artificial Intelligence, Cybersecurity, Statistics, etc.
• TS/SCI Full Poly clearance
• Full U.S. Citizenship
Preferred:
• Familiarity with real-time analytics platforms
• Knowledge of Infrastructure as Code (IaC) tools like Terraform
• Understanding of serverless computing models
• Experience with advanced data visualization frameworks
• Knowledge of cost optimization techniques for cloud systems
• Ability to integrate machine learning models with big data solutions
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.