Senior Big Data Operations Engineer
Charlotte, NC
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingSupport tenant teams in setting up compute queues and storage
Resolve issues with processes and services across the big data environment
Lead migration of tenant teams to new data centers
Design, code, test, and debug projects and upgrades
Guide less experienced staff as escalation point
From the employer’s posting
Support the application tenant teams for setting up their respective queues (compute), storage and help with bringing their data and help processing the same through Jobs.
Help with any issues with process or services and provide end-to-end support on same in Big data environment.
help design and migrate tenant teams within specified timelines along with supporting legacy environments
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments.
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff.
What you’ll bring
All qualificationsCore experience
- Degree required: Bachelor's degree in Electronic Engineering, or related technical field.
- 4 years of hands-on experience in Hadoop;
- 4 Nov 2026*Job posting may come down early due to volume of applicants.
- 4 years of experience with MongoDB;
- 3 years of experience with Python or Unix/Shell scripting or Spark;
- 3 years of experience with Autosys;
Qualification wording
Degree required: Bachelor's degree in Electronic Engineering, or related technical field.
4 years of hands-on experience in Hadoop;
4 Nov 2026*Job posting may come down early due to volume of applicants.
4 years of experience with MongoDB;
3 years of experience with Python or Unix/Shell scripting or Spark;
3 years of experience with Autosys;
Tools in this posting
- Python
- Shell
- Azure
- GCP
- Grafana
- Hadoop
- Kubernetes
- MongoDB
- Spark
Source — Tool mentions in context
• 4 years of experience with MongoDB; • 3 years of experience with Python or Unix/Shell scripting or Spark; • 3 years of experience with Autosys;
• 1 year of experience with Kubernetes; and • 1 year of experience with Azure or GCP. Posting End Date:
• 2 years of experience with Dremio; • 2 years of experience in setting up monitoring dashboards through Grafana or Prometheus; • 1 year of experience with Kubernetes; and
Specific skills required: • 4 years of hands-on experience in Hadoop; • 4 years of experience with MongoDB;
• 2 years of experience in setting up monitoring dashboards through Grafana or Prometheus; • 1 year of experience with Kubernetes; and • 1 year of experience with Azure or GCP.
• 4 years of hands-on experience in Hadoop; • 4 years of experience with MongoDB; • 3 years of experience with Python or Unix/Shell scripting or Spark;
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 20, 2026 · 10 days ago
- Recorded sightings
- 33
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on wd1.myworkdaysite.com. The employer’s form will show what is required.
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Job description
At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers.
Wells Fargo Bank N.A. seeks a Senior Big Data Operations Engineer in Charlotte, NC.
Job Role and Responsibility:
Wells Fargo is seeking a Senior Big Data Operations Engineer to support Risk Data Services (RDS). RDS is a multi-tenant big data platform that will provide consistent and integrated data to support Risk Management, Monitoring and reporting for various risk stripes (Credit, Market, Liquidity, Interest Rate, Model, Compliance, Operational, Strategic and Reputation Risk). RDS is a big data platform that is hosted on premises by Hortonworks that offers compute (Spark & Hive), storage (HDFS), tools and capabilities for tenants to build and manage their data assets. In this role, you will lead moderately complex initiatives and deliverables within technical domain environments. Contribute to large scale planning of strategies. Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments. Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures. Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients' needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements. Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals. Lead projects and act as an escalation point, provide guidance and direction to less experienced staff. Support the application tenant teams for setting up their respective queues (compute), storage and help with bringing their data and help processing the same through Jobs. Help with any issues with process or services and provide end-to-end support on same in Big data environment. Help support migration activities while RDS plan to move out from current infrastructure to new data centers - align to strategies and help design and migrate tenant teams within specified timelines along with supporting legacy environments. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address.
Travel required: 0%
Required Qualifications:
Degree required: Bachelor's degree in Electronic Engineering, or related technical field.
Amount and type of experience required: 4 years of experience in the job offered or in a related position involving software engineering experience.
Specific skills required:
• 4 years of hands-on experience in Hadoop;
• 4 years of experience with MongoDB;
• 3 years of experience with Python or Unix/Shell scripting or Spark;
• 3 years of experience with Autosys;
• 2 years of experience with Dremio;
• 2 years of experience in setting up monitoring dashboards through Grafana or Prometheus;
• 1 year of experience with Kubernetes; and
• 1 year of experience with Azure or GCP.
Posting End Date:
4 Nov 2026*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Source details
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- Pay
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- Location & working pattern
Charlotte, NC
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