Remote Data Operations Engineer Jobs
Remote Data Operations Engineer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for pipeline management, data quality, and infrastructure roles in sectors like technology, financial services, and healthcare. Employers hiring remotely right now include JLL, Upgrade, and limetree. Find a role that fits below and apply directly.
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JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
About the role:
This position is responsible for supporting all the tools that makeup our enterprise data security program. In this role, you’ll work closely with endpoint security engineering, cyber defense, and insider risk operations to ensure that our data security toolset is maintained properly in order to avoid potential disruption to end users and to enhance capabilities of internal customers.
Primary Responsibilities:
- Work to support engineering teams by executing changes to the data security tooling environments
- Work with end users via ticketing system and troubleshooting sessions to remediate any potential issues/blocks caused by data security tooling
- Serve as first tier support for all data security tooling issues
- Serve as a point of contact with the vendor and internal resources
- Develop and maintain data security tooling documentation
- Conduct daily operation and management of the data security platform, including event monitoring, reporting, and remediation
Job Requirements:
- 3+ years of experience with CASB/SASE solutions
- 3+ years of experience with DLP solutions
- 3+ years of experience with EDR/XDR/AV solutions
- Ability to write scripts for automating tasks (Python, PowerShell, Bash)
- Excellent problem solving and troubleshooting skills with a strong attention to detail
- Ability to troubleshoot potential issues with end user
- Ability to troubleshoot both MacOS and Windows
- Ability to work independently with minimal supervision
- Ability to learn new skills quickly
- Excellent communication skills (written and verbal)
- A desire to work within a diverse, collaborative, and driven professional environment
Preferred Skills:
- Experience working with Netskope, Proofpoint and/or Crowdstrike
- Experience working with ServiceNow
- Experience using Splunk for analyzing logs, building dashboards/reports and automating tasks
- Experience working with Azure/AWS/GCP
- Experience with using RegEx to craft DLP policy
- Working knowledge of Active Directory
- CISSP/CISM certifications preferred (but not required)
- Bachelor’s/Master’s Degree preferred (but not required)
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Expected compensation for this position:
204,546.00 – 233,064.00 USD per year
Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
Job Tags:
If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include:
- 401(k) plan with matching company contributions
- Comprehensive Medical, Dental & Vision Care
- Paid parental leave at 100% of salary
- Paid Time Off and Company Holidays
- Early access to earned wages through Daily Pay
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
JLL Privacy Notice
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
For additional details please see our career site pages for each country.
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.
Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.
California Residents only
If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.
Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accepting applications on an ongoing basis until candidate identified.
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Who's Hiring


What Employers Look For
The qualifications that appear most often in remote data operations engineer jobs.
- Proficiency with workflow orchestration tools such as Apache Airflow or Prefect
- Experience building and maintaining data pipelines using Python or SQL
- Hands-on work with cloud data warehouses like Snowflake, BigQuery, or Redshift
- Familiarity with containerization and infrastructure tools including Docker and Kubernetes
- Understanding of data quality monitoring, alerting, and observability practices
- Bachelor's degree in computer science, data engineering, or a related technical field
Tips for Your Remote Data Operations Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data operations engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through location-filtered results on multiple sites.
Show async communication skills upfront
Remote data operations teams rely on written handoffs, documented runbooks, and clear Slack or Jira updates. Rewrite your resume's bullet points to emphasize documentation you've owned, incident write-ups you've authored, or async processes you've improved.
Build a public pipeline portfolio
Remote hiring managers can't watch you work, so give them something concrete. Publish an end-to-end data pipeline on GitHub using tools like Airflow, dbt, or Prefect, with a README that explains design decisions and trade-offs you made.
Target remote-first companies by tech stack
Filter your search by the tools you know best, such as Snowflake, BigQuery, or Databricks. Remote-first firms list their stacks in job postings, and matching your experience to their exact environment shortens the screening process significantly.
Remote Data Operations Engineer Jobs: Frequently Asked Questions
How do I get a remote data operations engineer job?
Target companies built around distributed teams, such as cloud-native software firms, data-as-a-service providers, and remote-first tech companies, since they have the infrastructure and culture to onboard data operations engineers without an office. Remote employers screen heavily for async written communication, self-directed troubleshooting, and hands-on fluency with tools like dbt, Airflow, and cloud data platforms. A portfolio of documented pipelines or data quality frameworks gives you a concrete edge over candidates who list skills without evidence.
Which companies hire remote data operations engineers?
Employers currently hiring remote data operations engineers include JLL, Upgrade, and limetree, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed fintech teams, and cloud-platform providers make up the bulk of remote openings for this role.
Can you get a remote data operations engineer job with no experience?
Yes, but remote entry-level roles are harder to land because you're expected to work independently from day one without on-site mentorship. Focus on companies with structured remote onboarding, such as larger SaaS firms or data consultancies with documented processes. Build public proof of work: a GitHub repo with pipeline scripts, a documented ETL project, or a contribution to an open-source data tool signals to remote hiring managers that you can deliver without hand-holding.
Do you need a degree for remote data operations engineer jobs?
Not always. Many remote employers care more about demonstrated ability with data tooling, SQL, and pipeline orchestration than a specific credential. A relevant degree in computer science, information systems, or engineering helps, but remote hiring managers often weigh a strong project portfolio, cloud certifications, and verifiable work samples just as heavily when evaluating candidates for data operations roles.
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