Data Systems Engineer Jobs
Data Systems Engineer jobs are open across technology, finance, healthcare, and government, at every level from entry-level to principal and staff, with specializations in data architecture, pipeline engineering, and systems integration. Find a role that fits below and apply directly.
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This position does require 1 week of “on-call” support with the occasional requirement to report on-site to handle
emergency issues with systems supporting dataflow. Typically, team rotation is about once every 6 to 8 weeks.
Basic Qualifications:
Active TS/SCI security clearance with a current polygraph is required.
14 years of experience as a Systems Engineer (SE) on programs and contracts of similar scope, type,
and complexity is required.
Bachelor’s degree in systems engineering, Computer Science, Information Systems, Engineering Science,
Engineering Management, or a related discipline from an accredited college or university is required
Five (5) additional years of Systems Engineering experience may be substituted in lieu of a bachelor’s degree.
Active TS/SCI security clearance with a current polygraph is required.
Desired Qualifications:
6 years of Data Flow experience
Minimum working 10 year’s working within the Intelligence Community working with mission systems and
mission data formats
Experience with Mission Systems that process and manage mission data
Experience working with mission data formats
Experience reviewing and processing, or creating Dataflow Management Requests, DMRs
Experience with Apache NiFi functionality for managing, building and documenting complex Dataflows
Experience with DeltaFi is highly desirable
Experience managing analytical needs and requirements
Experience in creating Systems Architectural Diagrams depicting software and system functions
Experience providing customer support to assist users and customers with data flow questions and concerns
Self-starter and well organized with the ability to work independently
Salary range for this position $175,000-190,000 #CJ
The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.
Red Arch Solutions Benefits Snapshot:
- 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.
- HaloScripts Concierge prescription medication service
- Generous PTO.
- 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.
- Annualized bonus compensation.
- Spot bonuses for hard work.
- Tuition reimbursement.
- 529 College Saving Plan.
- College Loan Pay Back Program.
- 11 Paid Federal Holidays
- Generous Referral Bonuses.
Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Have more questions about Red Arch? Email us at Careers@RedArchSolutions.com
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Find Data Systems Engineer JobsData Systems Engineer Job Market
Who's Hiring
- Oracle10

- Apple8

- ServiceNow5

- Olsson4

- AMD3

Top Industries Hiring
- Technology & Software
- Agriculture & Farming
What Employers Look For
The qualifications that appear most often in data systems engineer jobs.
- Bachelor's degree in computer science, information systems, or a related engineering field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Experience designing and maintaining ETL or ELT data pipelines at production scale
- Familiarity with distributed data processing frameworks and workflow orchestration tools
- Understanding of data modeling principles, schema design, and data warehousing concepts
Tips for Your Data Systems Engineer Job Search
Tailor your resume to pipeline tooling
Hiring managers scan for the exact tools in the job description. List your experience with specific pipeline frameworks, orchestration tools, and cloud data platforms by name rather than grouping them under a generic 'data tools' category.
Show data system scale in your bullets
Vague claims of 'optimizing data pipelines' don't differentiate you. Quantify the volume your systems handled, the latency improvements you delivered, or the number of downstream consumers your architecture supported.
Target postings that match your stack depth
Data systems engineer roles split sharply between cloud-native and on-premises environments. Filter openings by the infrastructure stack you know best so your application speaks directly to what the team is actually running.
Apply early to roles that fit
Migrate Mate lists data systems engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design walkthrough for interviews
Most technical screens for this role include a whiteboard or live design session. Practice walking through an end-to-end data system you built, covering ingestion, transformation, storage choices, and failure-handling decisions you made along the way.
Negotiate scope alongside compensation
Data systems engineers often have leverage to negotiate the ownership of a system or platform, not just salary. Clarify during the offer stage whether you'll own architecture decisions or inherit a fixed design, since that shapes your day-to-day authority significantly.
Data Systems Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most data systems engineers?
The most active employers for data systems engineers right now are Oracle, Apple, and ServiceNow, and the most openings are in California, Texas, and Maryland, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated at large technology firms, financial services companies, and federal contractors building data infrastructure.
How many data systems engineer jobs are remote?
About 70% of data systems engineer openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed engineering talent. Pipeline and cloud infrastructure roles tend to be the most remote-friendly, while positions tied to on-premises systems or regulated data environments more often require an on-site presence.
How do you become a data systems engineer?
Start by building a foundation in database management, programming, and cloud services through a degree or structured self-study. Develop hands-on experience with pipeline tools and distributed systems through personal projects or open-source contributions. Progress through junior engineering roles where you own increasingly complex data infrastructure, then deepen specialization in areas like streaming architecture, data modeling, or platform reliability.
Can you get a data systems engineer job with little or no experience?
Entry-level data systems engineer roles do exist, and employers often look for candidates who can demonstrate practical skills over formal experience. Building a portfolio that includes a working data pipeline, a schema design project, or a cloud deployment shows real capability. Contract roles, internal transfers from analytics or DevOps, and junior platform engineering positions are common entry points into the field.
What does the data systems engineer interview process look like?
Most processes start with a recruiter screen followed by a technical phone interview covering SQL, Python, or system fundamentals. A take-home or live coding challenge focused on pipeline logic or data modeling typically follows. Final rounds usually include a system design session where you architect a data solution on a whiteboard, plus a cross-functional interview with data consumers or platform stakeholders.
Where can I find and apply to data systems engineer jobs?
You can find and apply to data systems engineer jobs on Migrate Mate, which lists current openings from across the United States. The listings cover roles at every seniority level across a wide range of industries. Find the roles that match your background and apply directly to each listing.
See All 160+ Data Systems Engineer Jobs
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