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Data Software Engineer Jobs in Washington (NOW HIRING)

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 ...

Data Engineer

Mclean, VA

$115K - $139K/yr

We are seeking a Data & Software Engineer to join a small, agile team developing advanced data solutions for a custom application supporting mission-critical operations. This role is focused on ...

Mission (Data) Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

We are looking for a skilled Data/Software Engineer with a focus on full-stack engineering, data, and DevOps to deliver automated end-to-end solutions within a cloud-native environment. Your role ...

Mission (Data) Engineer

Arlington, VA ยท Remote

$117K - $140K/yr

We are looking for a skilled Data/Software Engineer with a focus on full-stack engineering, data, and DevOps to deliver automated end-to-end solutions within a cloud-native environment . Your role ...

Data Analytics Software Engineer

Linthicum, MD ยท On-site

$129K - $152K/yr

Data Analytics Software Engineer Full Time Technical 4 days ago Requisition ID: 3370 Salary Range: $129,485.00 To $152,744.00 Annually Quevera is seeking a Data Analytics Software Engineer with an ...

Software/Data Engineer

Laurel, MD ยท On-site

$176K - $282K/yr

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide engineering contracts within the Intelligence Community. This is a full-time position requiring 1880 hours ...

Showing results 21-40

Data Software Engineer information

See Washington salary details

$50.4K

$146.9K

$201K

How much do data software engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data software engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is a data software engineer?

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?

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 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.

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 popular job titles related to Data Software Engineer jobs in Washington?

For Data Software Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Software Engineer jobs in Washington look for?

The top searched job categories for Data Software Engineer jobs in Washington are:

What are popular job titles related to Data Software Engineer jobs in WA?

For Data Software Engineer jobs in WA, the most frequently searched job titles are:

Infographic showing various Data Software Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Cloud Big Data Software Engineer

Annapolis Junction, MD โ€ข On-site

Cymertek Corporation
IT Servicesย โ€ขย 11 - 50 employees

$57 - $75.25/hr

Full-time

Re-posted 6 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.