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Data Systems Engineer Jobs (NOW HIRING)

Solvarus

Enterprise Data Systems Engineer

Chantilly, VA · On-site

$110K - $137K/yr

As a Solvarus team member, you will serve as an Enterprise Data Systems Engineer you will serve as a technical leader with a dynamic team providing full lifecycle, end-to-end Systems Engineering and ...

Solvarus

Enterprise Data Systems Engineer

Chantilly, VA · On-site

$110K - $137K/yr

As a Solvarus team member, you will serve as an Enterprise Data Systems Engineer you will serve as a technical leader with a dynamic team providing full lifecycle, end-to-end Systems Engineering and ...

Inficare Technologies

Senior Data/ Systems Engineer

$107K - $146K/yr

Senior Data/ Systems Engineer Location: Remote Role Duration: Long Term contract Job requirements : Client is seeking a Senior Data or Systems Engineer to support a large government contractor on a ...

CAIS

AI & Data Systems Engineer

New York, NY

$125K - $160K/yr

The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical backbone - configuring, integrating, and deploying solutions rapidly without building software from scratch.

CAIS

AI & Data Systems Engineer

New York, NY · On-site

$125K - $160K/yr

The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical backbone - configuring, integrating, and deploying solutions rapidly without building software from scratch.

Pae

Wind Tunnel Data Systems Engineer

Hampton, VA

$110K - $132K/yr

The Data Systems Engineer is part of a team that supports wind tunnel facilities and will provide data support for data quality.The qualified candidate will provide operational and data support for ...

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Data Systems Engineer information

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$53.5K

$127.2K

$167K

How much do data systems engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000 a year?

Senior data systems engineers with extensive experience, advanced skills in database management, cloud computing, and system architecture can earn $500,000 or more annually, especially in high-cost-of-living areas or within large technology companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex projects.

What are some common challenges Data Systems Engineers face when integrating new data sources?

Data Systems Engineers often encounter challenges such as ensuring data compatibility across diverse formats, maintaining data integrity during migration, and managing system performance while integrating new sources. Collaborating closely with data analysts, software developers, and database administrators is key to anticipating and addressing these issues. Successful integration frequently requires thorough testing, robust error handling, and establishing clear data governance protocols to prevent inconsistencies or data loss.

What are Data Systems Engineers?

Data Systems Engineers are professionals who design, build, and maintain the infrastructure and systems that manage and process large volumes of data within an organization. They ensure data flows efficiently between databases, applications, and users, often working with technologies such as databases, data warehouses, and cloud platforms. Their responsibilities include optimizing data pipelines, ensuring data security, and supporting analytics and business intelligence initiatives. Data Systems Engineers collaborate closely with data scientists, software engineers, and IT teams to create reliable, scalable, and secure data environments.

What does a data systems engineer do?

A data systems engineer designs, develops, and maintains the infrastructure for storing, processing, and analyzing large data sets. They work with database systems, data pipelines, and cloud platforms, often using tools like SQL, Python, and Hadoop to ensure data availability, security, and performance. Strong problem-solving skills and knowledge of data architecture are essential for this role.

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

To excel as a Data Systems Engineer, you need strong skills in data architecture, database management, and programming, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Hadoop, and cloud platforms, as well as certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Exceptional problem-solving, collaboration, and analytical thinking help you design robust, scalable data solutions and communicate effectively with stakeholders. These skills and qualities are crucial for ensuring data integrity, optimizing system performance, and supporting organizational decision-making.

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

AspectData Systems EngineerData Engineer
CredentialsBachelor's in CS, certifications like AWS, AzureBachelor's in CS, certifications like AWS, Azure
Work EnvironmentDesigning and maintaining data infrastructure, systems integrationBuilding data pipelines, ETL processes, data storage solutions
Industry UsageIT, tech companies, large enterprisesTech, finance, healthcare, any data-driven industry

Both roles require similar technical skills and certifications, often working in data infrastructure environments. Data Systems Engineers focus on designing and maintaining data systems, while Data Engineers primarily build and optimize data pipelines. The roles are complementary and often overlap in organizations managing complex data architectures.

Can I make 200K as a data engineer?

Data Systems Engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise.

What tech jobs pay 400,000 a year?

Data Systems Engineers, especially those with advanced skills in cloud computing, cybersecurity, or large-scale data management, can reach or exceed a $400,000 annual salary in senior or specialized roles. High-level positions in technology firms, finance, or consulting that require extensive experience, certifications, and leadership responsibilities may also offer compensation in this range.
More about Data Systems Engineer jobs
Who are the top companies hiring for Data Systems Engineer jobs? The top employers for Data Systems Engineer jobs are:
What states have the most Data Systems Engineer jobs? States with the most job openings for Data Systems Engineer jobs include:
What job categories do people searching Data Systems Engineer jobs look for? The top searched job categories for Data Systems Engineer jobs are:
Data Systems Engineer jobs near you
Infographic showing various Data Systems 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 $127,215 per year, or $61.2 per hour.
Enterprise Data Systems Engineer

Enterprise Data Systems Engineer

Solvarus

Chantilly, VA • On-site

$110K - $137K/yr

Full-time

Posted 11 days ago

Job description

 Solvarus Consulting is dedicated to solving the toughest challenges the Intelligence Community and Department of Defense. Join our team of experienced engineers in the development and institutionalization of a Digital Engineering environment set to contront these challenges. As a Solvarus team member, you will serve as an Enterprise Data Systems Engineer you will serve as a technical leader with a dynamic team providing full lifecycle, end-to-end Systems Engineering and Integration (SE&I) services to a National Intelligence Customer. This role requires a strong understanding of systems engineering principles, data centric architecture approaches, acquisition processes, agile Software Development lifecycles, and the ability to work across diverse technical, programmatic, and stakeholder communities. providing end-to-end Systems Engineering and Integration (SE&I) services to a National Customer.  Interested candidates should thrive in an innovative, fast-paced environment, can roll up their sleeves, work hard, and be a valued team member.
Duties include:

· Collaborate with Government, SETA, FFRDC, developer, and mission stakeholders to provide technical leadership, systems engineering support, and acquisition oversight support across enterprise and system level activities.

· Support Government acquisition oversight by assessing contractor development progress, technical maturity, engineering deliverables, schedule performance, risks, issues, dependencies, and readiness for key decision points.

· Provide independent technical assessments of system development activities, including requirements decomposition, architecture definition, interface maturity, integration planning, verification and validation progress, and alignment to approved acquisition baselines.

· Support end-to-end systems engineering processes, including requirements development, architecture definition, interface management, technical baseline management, integration planning, verification, validation, and readiness assessment.

· Develop and support the execution of plans to acquire, integrate, and deliver enterprise data centric services, including the definition and maturation of data flows, data exchanges, data models, interface artifacts, mission threads, system views, and enterprise architecture products.

· Support acquisition office functions by preparing technical input, coordinating stakeholder feedback, developing initial recommendations, and helping Government decision makers evaluate tradeoffs, risks, contractor performance, and execution options.

· Assist with requirements closure through Systems Engineering Lifecycle Readiness Reviews, System Engineering Technical Reviews, acquisition milestone events, and other enterprise or system readiness activities.

· Facilitate Integrated Product Teams and engineering working groups that review requirements, CONOPS, interfaces, architecture products, technical baselines, schedules, risks, development progress, and acquisition readiness.

· Assist with the development and maintenance of Integrated Master Schedules to identify dependencies, integration points, milestone alignment, schedule gaps, execution risks, and impacts to acquisition decision points.

· Support verification, validation, and test planning to ensure delivered capabilities satisfy approved requirements, align with enterprise architecture objectives, support mission closure, and demonstrate readiness for acquisition milestones.

Qualifications:

· Current and Active TS/SCI with Poly Security Clearance.

· Requires 5 to 8 years with BS/BA or 3 to 5 years with MS/MA or 0 to 2 years with PhD.

· Bachelor’s degree in Systems Engineering or in related technical or scientific fields such as engineering, operations research, engineering management, or related STEM degree program.

· Proven knowledge of core systems engineering processes, including requirements development, architecture definition, interface management, integration planning, verification and validation, technical baseline management, risk management, and technical review execution.

· Demonstrated understanding of enterprise data centric services, data interoperability, data exchange, data standards, metadata, data governance, and enterprise data integration concepts.

· Experience supporting system development, acquisition office functions, acquisition oversight, readiness events, contractor technical assessment, or engineering decision support.
Desired Skills:

· Experience with the Defense Acquisition System, Intelligence Community acquisition processes, or acquisition oversight support.

· Experience supporting acquisition planning, contractor technical assessment, milestone preparation, readiness reviews, or technical baseline management.

· Experience with Model Based Systems Engineering, digital engineering, or enterprise architecture development.

Solvarus employment relationships are made without regard to age, race, color, religion, creed, sex, national origin, marital status, veteran status, the presence of any physical or mental disability, genetic information, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our company values and will not be tolerated.

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