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Data Software Engineer Jobs (NOW HIRING)

Cymertek

Cloud Big Data Software Engineer

Honolulu, HI ยท On-site

$55 - $73/hr

Cloud Big Data Software Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled Cloud Big Data ...

The Josef Group

Data and Software Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Data and Software Engineer McLean, VA $200K to $250K TS/SCI and FSP The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate ...

Experis

Data Platform Engineer

Charlotte, NC ยท On-site

$111K - $134K/yr

As a Technology and Data - Software Engineer 4 - Contingent, you will be part of the Data Platform Engineering team supporting enterprise data analytics workloads. The ideal candidate will ...

New

Jobsbridge

Senior Big Data Software Engineer

Cupertino, CA ยท On-site

$68.75 - $91/hr

... Engineer, Software Developer, and/or Programmer role using Java with a focus on backend/database, and Big Data solutions * Demonstrated skill across Spring, Hibernate, Eclipse, Lucene, Solr, SOAP ...

NetSage

Big Data Software Engineer-Principal

Annapolis, MD ยท On-site

$55.25 - $73/hr

We are seeking a Principal Big Data Software Engineer to develop, maintain, and enhance complex and diverse software systems. In this role, you will support complex, multifaceted software systems ...

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All JobsData Software Engineer Jobs

Data Software Engineer information

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$44.5K

$129.7K

$177.5K

How much do data software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data software engineer 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 engineers make $300,000 a year?

Senior software engineers, data engineers, and machine learning engineers with extensive experience, specialized skills, and often working in high-demand industries or companies can earn $300,000 or more annually. Achieving this level typically requires advanced technical expertise, certifications, and sometimes leadership responsibilities or stock options.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced skills, and sometimes stock options or bonuses in addition to base salary.

What does a software data engineer do?

A software data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. Strong programming skills and knowledge of database systems are essential for this role.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.
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Data Software Engineer jobs near you
Infographic showing various Data Software Engineer 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.
Cloud Big Data Software Engineer

Cloud Big Data Software Engineer

Cymertek Corporation

Annapolis Junction, MD โ€ข On-site

$57 - $75.25/hr

Full-time

Posted 8 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:
โ€ข Design and implement big data solutions in cloud environments
โ€ข Develop and maintain data pipelines for large-scale processing
โ€ข Optimize system performance and scalability
โ€ข Collaborate with data teams to define requirements and solutions
โ€ข Ensure data security and compliance standards are met
โ€ข Document system architecture and workflows
Qualifications:
Required:
โ€ข Proficiency in programming languages like Python or Java
โ€ข Experience with cloud platforms like AWS, Azure, or GCP
โ€ข Expertise in big data tools such as Hadoop, Spark, or Kafka
โ€ข Knowledge of distributed systems and parallel processing
โ€ข Understanding of SQL and NoSQL databases
โ€ข Familiarity with containerization technologies like Docker
โ€ข 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.
โ€ข TS/SCI Full Poly clearance
โ€ข Full U.S. Citizenship
Preferred:
โ€ข Familiarity with real-time analytics platforms
โ€ข Knowledge of Infrastructure as Code (IaC) tools like Terraform
โ€ข Understanding of serverless computing models
โ€ข Experience with advanced data visualization frameworks
โ€ข Knowledge of cost optimization techniques for cloud systems
โ€ข Ability to integrate machine learning models with big data solutions
Company:
With headquarters in Maryland, Cymertek [/'sฤซ-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.

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