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Support Data Engineer II

Overview:

 

The MongoDB / Elasticsearch / Linux Sysadm / Ansible Engineer supports various database and automation in a 24/7 Linux environment.

 

A good candidate has knowledge that could be gained with one of the following:

 

·         2+ years of experience with either MongoDB or Elasticsearch application support, DBA or development

·         3+ years of experience with other database application support or DBA or development

·         2+ years of Linux system administration

·         2+ years of Linux system automation

 

We will train for required expertise in database application support, Linux system administration and other technologies as needed.

 

 This role is not eligible for visa sponsorship.

 

Responsibilities include issue resolution for database application alerts, upgrades, patching, security, data restorals and replication, backups and performance tuning. They also include operating system and network troubleshooting.

 

In addition to direct customer support, support engineers work with other teams such as DBAs, SREs, account managers and developers as needed.

 

Daily activities include responding to customer requests (tickets and chats) and monitoring alerts, monitoring the production environment, providing acceptable system performance, and assuring data are protected and recoverable as required.

Support Data Engineer IIs own moderate to complex customer issues which may take multiple days to resolve fully.

 

This position is for shift 1 in a support engineer team that provides 24/7 operations support for MongoDB, Elasticsearch and other database services in a Linux environment.

 

Due to the 24x7 operations of the business support engineers must be able to work a flexible work schedule, which will include weekends, holidays, occasional nights and emergency escalations.

 

This position is US only and remote or hybrid, depending on candidate's location in the US.

 

Support engineers take part in on-call rotation during regular shift hours.


Important skills and experience:
  • Excellent troubleshooting skills with ability to resolve issues quickly and effectively
  • Experience managing MongoDB, Elasticsearch or other database configurations
  • Good understanding of Linux operating system, especially debian and CentOS based distributions
  • Ability to work well in teams with good oral, written, and interpersonal skills
  • Ability to communicate technical details and ideas and write documentation
  • Ability to work independently as part of a remote team


Useful skills and experience:
  • Excellent understanding of MongoDB or Elasticsearch database concepts and structures
  • Proven experience implementing and supporting enterprise database systems
  • Scripting experience with shell scripting or Python
  • Configuration management and orchestration experience with Ansible, Puppet or Chef
  • Exposure to a broad range of technologies, especially Redis, k8s, Postgresql, Hadoop, and Kafka


Sponsorship:
  • Candidates need to be legally allowed to work in the US for any employer


Discover your inner Racker: Racker Life

 

The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.

 

·         The anticipated starting pay range for Colorado is: $ 68,600 - $ 91,400

·         The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $ 75,100 - $ 100,100

·         The anticipated starting pay range for California, New York City and Washington is: $ 82,300 - $ 109,700

 

Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on benefits offered is here.


#LI-VM1

#LI-Remote



About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

 

 

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

 

 


Average salary estimate

$89150 / YEARLY (est.)
min
max
$68600K
$109700K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Support Data Engineer II, Rackspace

Join Rackspace Technology as a Support Data Engineer II where you will have the opportunity to work with cutting-edge database technologies like MongoDB and Elasticsearch in a dynamic and supportive environment. In this role, you'll tackle various challenges related to database applications, ensuring everything runs smoothly in our 24/7 Linux ecosystem. Whether you're troubleshooting alerts, overseeing system upgrades, or automating processes with tools like Ansible, your expertise will be crucial in maintaining optimal database performance and security. We're looking for candidates with at least 2 years of experience in either MongoDB or Elasticsearch, along with a solid foundation in Linux system administration. Don’t worry if you’re not an expert yet; we’re committed to providing training to enhance your skills. Your daily tasks will include collaborating with your fellow team members on complex issues, providing exceptional customer support, and being part of shift rotations to keep our systems running round-the-clock. This remote or hybrid position allows you to balance work and personal life while contributing to a team that prides itself on delivering the best service. If you're passionate about technology and eager to grow in your career, we’d love to hear from you. Ready to find your place in our winning team? Apply today!

Frequently Asked Questions (FAQs) for Support Data Engineer II Role at Rackspace
What responsibilities does a Support Data Engineer II at Rackspace Technology have?

A Support Data Engineer II at Rackspace Technology is responsible for resolving database application alerts, performing upgrades, managing security and data restorals, handling backups, and ensuring effective performance tuning. Additionally, this role includes troubleshooting operating systems and network performance issues, all within a 24/7 Linux environment.

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What qualifications are required for the Support Data Engineer II position at Rackspace Technology?

Candidates applying for the Support Data Engineer II position at Rackspace Technology should have at least 2 years of experience with either MongoDB or Elasticsearch, alongside a minimum of 2 years in Linux system administration. Additionally, having skills in system automation and database support is beneficial, and a problem-solving mindset is key to success in this role.

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What skills will Rackspace Technology provide training for in the Support Data Engineer II role?

At Rackspace Technology, new hires in the Support Data Engineer II role will receive training tailored to enhance their expertise in database application support and Linux system administration. This includes gaining proficiency in tools like Ansible for automating system processes and understanding advanced database concepts.

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What is the work schedule like for a Support Data Engineer II at Rackspace Technology?

Support Data Engineer IIs at Rackspace Technology work in shifts that require flexibility, including weekends, holidays, and potentially nights for emergency escalations. This schedule is essential to maintain 24/7 operations support for our database services.

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Does Rackspace Technology provide remote work options for the Support Data Engineer II position?

Yes, the Support Data Engineer II position at Rackspace Technology offers remote or hybrid work options depending on the candidate's location in the US, allowing for a great work-life balance while contributing to the team remotely.

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Common Interview Questions for Support Data Engineer II
What troubleshooting steps would you take for a MongoDB performance issue?

To troubleshoot a MongoDB performance issue, I would start by checking the server logs for any error messages, monitor resource usage (CPU, RAM, disk I/O) using tools like MongoDB's Compass, and analyze slow queries to identify bottlenecks. Additionally, reviewing indexing and ensuring that the database is appropriately sharded can help optimize performance.

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Can you explain how to set up replication in MongoDB?

To set up replication in MongoDB, I would initiate a replica set which involves creating multiple MongoDB instances. The primary instance is configured to accept writes, while secondary instances replicate data from the primary. I would run the 'rs.initiate()' command on the primary and use 'rs.add()' to add secondaries.

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What experience do you have with Linux system administration?

My experience with Linux system administration includes managing user accounts, configuring network settings, updating and patching systems, and monitoring system performance. I'm also familiar with Bash scripting for automation tasks to improve efficiency in managing Linux environments.

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What is your approach to automating your work environment?

To automate my work environment, I use configuration management tools such as Ansible to handle software installations and updates, ensuring consistency across multiple servers. I also write scripts in Python to automate repetitive tasks and streamline workflows, reducing manual intervention.

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How do you ensure data security and backup integrity?

Ensuring data security involves implementing strict access controls, regular audits, and using encryption for sensitive data. For backup integrity, I would set up automated backup processes with verification methods to confirm successful backups and regularly test restoration procedures.

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What strategies do you employ when handling customer support tickets?

When handling customer support tickets, I prioritize issues based on their urgency and impact. I ensure clear communication with clients, provide timely updates, and work towards a resolution while documenting the process for future reference.

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Can you describe your experience with Elasticsearch?

My experience with Elasticsearch includes configuring clusters, indexing data, and creating queries using the Elasticsearch DSL. I’ve optimized search performance through effective data mapping and customized analyzers based on indexing needs.

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How do you keep current on new technology and industry trends?

I keep current on new technologies and industry trends by following relevant blogs, participating in forums, attending webinars, and completing online courses related to databases and automation. Networking with peers also allows me to stay informed on best practices and emerging tools.

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What is your experience with scripting languages like Python?

I have used Python for various automation tasks, such as creating scripts to automate database backups and monitor system performance. My familiarity with libraries like Pandas and NumPy also aids in data manipulation, when needed.

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What is your understanding of cloud technologies in relation to database services?

I understand that cloud technologies enhance database services by offering scalability, flexibility, and the ability to implement powerful analytics. Familiarity with cloud providers like AWS and Azure, and using their database offerings, supports a more resilient infrastructure.

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Founded in 1998, Rackspace provides multi-cloud computing solutions and services. Offering advising to customers based on business challenges, designing solutions, building, and managing solutions. The company is headquartered in San Antonio, Texa...

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Full-time, remote
DATE POSTED
March 12, 2025

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