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Remote Dataops Engineer Jobs in Malvern, PA (NOW HIRING)

Remote Dataops Engineer information

See Malvern, PA salary details

$37.3K

$113.7K

$187.9K

How much do remote dataops engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote dataops engineer in Malvern, PA is $113,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $148,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Dataops Engineer vs Data Engineer?

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

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

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.
What job categories do people searching Remote Dataops Engineer jobs in Malvern, PA look for? The top searched job categories for Remote Dataops Engineer jobs in Malvern, PA are:
What cities near Malvern, PA are hiring for Remote Dataops Engineer jobs? Cities near Malvern, PA with the most Remote Dataops Engineer job openings:
Infographic showing various Remote Dataops Engineer job openings in Malvern, PA as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $113,695 per year, or $54.7 per hour.
Pre-Sales Solutions Engineer

Pre-Sales Solutions Engineer

Booz Allen Hamilton, Inc.

Philadelphia, PA • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 20 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 73 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0242074
Location:
Philadelphia,PA,US
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Pre-Sales Solutions Engineer
The Opportunity:
We are seeking a Lead Sales Engineer with deep expertise in cyber defense products, such as defensive cyber operations, malware reverse engineering, detection engineering, or threat hunting, and enterprise-grade solution architecture to support and drive complex sales engagements. This role combines technical execution with executive-level communication, acting as a trusted advisor to security, incident response, and threat intelligence teams. This role requires partnership with technical and business stakeholders across private and public sectors to support strategic solutioning and seamless integration of cyber product in the customer's environment.
You will guide technical input for proposals related to our cyber product portfolio, deliver compelling demos, and ensure seamless sales-to-delivery transitions.
What You'll Work On:
  • Serve as the primary technical authority for cyber products in market facing engagements and support solution design during enterprise sales cycles.
  • Deliver high-impact demos and technical presentations showcasing scalability, security, and integration of our cyber products across private and public sector markets.
  • Support competitive technical positioning against other competing products and solutions.
  • Support formal enterprise procurement processes, including proposals, architecture reviews, and security assessments.
  • Articulate differentiators and guide negotiations.
  • Collaborate with Product, Engineering, and market teams to deliver market feedback and requests and influence product roadmap and market analysis.
  • Act as a technical advisor to customers during evaluation and early adoption phases in partnership with market teams.
  • Support post-sale customer success, troubleshooting, sales renewal, and upgrades within the cyber product portfolio.

Join us. The world can't wait.
You Have:
  • 2+ years of experience in technical pre-sales or solution architecture
  • 2+ years of experience leading enterprise engagements
  • 2+ years of experience in architecting, implementing, and integrating enterprise-scale security architectures across endpoints, identity, networks, and cloud environments, including analyzing security telemetry to improve detection, alerting, and response behavior
  • 2+ years of experience working closely with security operations teams to support investigation workflows, alert triage, and operational decision-making
  • 2+ years of experience performing technical work, such as engineering software products, developing full-stack applications, deploying services, configuring operating systems, or building and maintaining test or production environments
  • Experience with AWS or Azure, container orchestration, such as Kubernetes, ECS, or ACA, and CI/CD tooling, such as GitLab, GitHub, Jenkins, ArgoCD, or Flux
  • Ability to adapt in rapidly changing environments
  • Bachelor's degree

Nice If You Have:
  • Experience with advanced capabilities in reverse engineering, behavioral analysis, and threat research, where solutions provide measurable improvements in detection accuracy, investigation efficiency, and enterprise-scale security operations
  • Experience supporting Fortune 500 regulated-industry customers and public sector
  • Experience integrating malware analysis platforms into SIEM, SOAR, or MDR environments
  • Experience integrating and operating Detection Engineering and Threat Hunting solutions
  • Experience with software engineering, such as programming in Python, Java, or C/C++, and building application integrations, such as RESTful API gateway services
  • Experience with automated testing and workflow optimization
  • Knowledge of AIOps, MLOps, ModelOps, or DataOps patterns
  • Possession of excellent interpersonal and analytical skills
  • Master's degree
  • Completion of GREM, OSCE, or SANS FOR/RE Courses

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914