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Remote Dataops Engineer Jobs (NOW HIRING)

DataOps Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: Yes Job Number: R0240163 Location: McLean,VA,US Share job via: Share Additional Locations: * Melbourne, Florida, USA DataOps Engineer The Opportunity: As a DataOps Engineer, your role ...

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines ...

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines ...

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines ...

DBT Engineer (GCP)

$117K - $140K/yr

DBT Engineer (GCP) | C2C | Remote * Airflow DAGs, Cloud Composer * BigQuery, Dataplex, Data Fusion ... Python as the primary language (Java/Scala as a plus) * Strong Git workflows, CI/CD, and DataOps ...

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... DataOps, Canary Labs Historian * Develop and maintain tag models, scripting logic, and ...

$117K - $140K/yr

This is a full-time remote position within the United States. Mayo Clinic will not sponsor or ... Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data ...

Senior Data Engineer

$108K - $147K/yr

Remote - US Based About Neovance: At Neovance, we're transforming the patient experience by driving ... Champion DataOps methodologies and version control standards across the engineering team. Client ...

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Remote Dataops Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote dataops engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote dataops engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 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.
More about Remote Dataops Engineer jobs
What cities are hiring for Remote Dataops Engineer jobs? Cities with the most Remote Dataops Engineer job openings:
What are the most commonly searched types of Dataops Engineer jobs? The most popular types of Dataops Engineer jobs are:
What states have the most Remote Dataops Engineer jobs? States with the most job openings for Remote Dataops Engineer jobs include:
DataOps Engineer

DataOps Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 12 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description


Remote Work:
Yes
Job Number:
R0240163
Location:
McLean,VA,US
Share job via:
Share
Additional Locations:
  • Melbourne, Florida, USA

DataOps Engineer
The Opportunity:
As a DataOps Engineer, your role will be central in enhancing data quality, streamlining data pipelines, and enabling scalable cloud-based solutions that improve the experience for veterans and VA staff.
In this role, you will apply modern data engineering practices, automation, and cloud-native tooling to solve complex data challenges. Your technical expertise will help guide architecture, build resilient pipelines, and ensure data assets are governed, discoverable, and ready for analytics and application needs across the VA. You will recommend tools and solutions based on your research of current environments, industry standards, and modern DevSecOps and DataOps methodologies. You will partner with software engineers, product teams, architects, and stakeholders to develop and maintain secure, automated, and highly available data services. You will use technologies, including AWS cloud services, orchestration tools, SQL and NoSQL data stores, event streaming platforms, and CI/CD automation, to design pipelines that meet mission needs.
If you are passionate about repeatability, automation, data reliability, and cloud scale engineering, this is an opportunity to drive meaningful impact in a modernized VA environment.
Join us. The world can't wait.
You Have:
  • 3+ years of experience in data engineering or DataOps, including building scalable data pipelines and data processing solutions
  • Experience designing, implementing, and maintaining ETL or ELT pipelines in cloud or hybrid environments
  • Experience with MSSQL and a scripting or programming language such as Python, Bash, or Java
  • Experience working with modern data storage technologies, including relational databases, data lakes, or NoSQL
  • Experience implementing data validation, data quality checks, and automation for data workflows
  • Knowledge of version control, CI/CD practices, and automated deployment pipelines
  • Ability to assess existing data systems and design integration points, ingestion patterns, and pipeline improvements
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • HS diploma or GED

Nice If You Have:
  • Experience with AWS cloud services such as S3, Glue, Lambda, RDS, Redshift, EMR, Kinesis, or Step Functions
  • Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or AWS Managed Workflows
  • Experience with Azure cloud services such as Azure Blob Storage, Azure Data Factory, Azure Functions, Azure SQL Database, Azure Synapse Analytics, Azure HDInsight, Azure Stream Analytics, or Azure Logic Apps
  • Experience with workflow orchestration tools such as Azure Data Factory, Azure Logic Apps, Azure Batch, or Apache Airflow on Azure
  • Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation
  • Experience working with containerized environments, including Docker or Kubernetes
  • Experience supporting DataOps capabilities, including observability, lineage, metadata management, and pipeline monitoring
  • Bachelor's degree in CS, Engineering, Information Systems, or a related field
  • Cloud Practitioner, Data Engineer, or Architect Certification

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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 $62,000.00 to $141,000.00 (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