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Senior Big Data Platform Engineer (multiple positions) in Irving, TX.

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

U.S. Bank is seeking the position of Senior Big Data Platform Engineer (multiple positions) in Irving, TX.

Essential Responsibilities:

  • Design and implement end-to-end data solutions, ensuring reliability, security and efficiency.
  • Deploy and maintain large scale data engineering platform utilizing open-source components and optimizing data processing tasks.
  • Automate the deployment and scaling of infrastructure to facilitate efficient operations.
  • Establish a robust disaster recovery plan with regular backups and data replication to safeguard against data loss.
  • Implement strict security measures to protect sensitive data and prevent unauthorized access.
  • Provide comprehensive documentation and training resources for teams using the data engineering platform.

Basic Qualifications:

Position requires a Master’s degree in Computer Science, Information Technology, or a related STEM field and 2 years of experience as a software developer or in a related occupation, or a Bachelor’s degree in Computer Science, Information Technology, or a related STEM field followed by 5 years of progressively responsible experience as a software developer, or in a related occupation.

Required Skills/Experience:
Experience must include 1 year of experience with each of the following: 1. Airflow, Hive, Kafka, and Spark; 2. Github and Maintenance of and building data pipelines; 3. Azure Databricks, Azure Data Factory, Azure DataLake, Azure Eventhub, Kubernetes, Azure Synapse, Azure Virtual Network, Subnet; and 4. DevOps, Jenkins, Oracle Snowflake, PowerShell, and Terraform.

Teams may work from home and the office. Base pay range may vary if an offer is made for work in a different location. Pay Range: $163,966 - $176,100. (#LI-NDI #LI-DNI #LI-DNP #DE-DNP).

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

EEO is the Law

U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal KNOW YOUR RIGHTS EEO poster.  

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements).

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Average salary estimate

$170033 / YEARLY (est.)
min
max
$163966K
$176100K

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 Senior Big Data Platform Engineer (multiple positions) in Irving, TX., U.S. Bank

U.S. Bank is excited to announce several openings for the position of Senior Big Data Platform Engineer in Irving, TX! We’re on a mission to empower our customers and communities by building cutting-edge data solutions and we need your expertise to make it happen. In this role, you'll be diving into the design and implementation of end-to-end data solutions, focusing on making them reliable, secure, and efficient. You’ll deploy and maintain a large-scale data engineering platform while automating infrastructure to enhance operations. A crucial part of your responsibilities will include putting in place robust disaster recovery plans and serious security measures to protect the data we manage. Your work will not only ensure our systems run smoothly but will also involve creating comprehensive documentation and training resources for our teams, helping us all to succeed. If you possess a Master's degree in Computer Science or a related STEM field, or a Bachelor’s along with significant experience, along with proficiency in tools like Airflow, Kafka, Azure Databricks, and DevOps practices, we'd love to hear from you. Join us at U.S. Bank and be part of a team that values innovation and growth as much as you do. Let’s thrive together!

Frequently Asked Questions (FAQs) for Senior Big Data Platform Engineer (multiple positions) in Irving, TX. Role at U.S. Bank
What qualifications do you need to become a Senior Big Data Platform Engineer at U.S. Bank?

To pursue the Senior Big Data Platform Engineer position at U.S. Bank, you’ll need a Master’s degree in Computer Science, Information Technology, or a related STEM field with at least 2 years of relevant experience. Alternatively, a Bachelor’s degree combined with 5 years of progressive experience as a software developer will also qualify you. It's vital to have hands-on experience with tools like Airflow, Kafka, Spark, and various Azure components.

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What are the primary responsibilities of a Senior Big Data Platform Engineer at U.S. Bank?

In the role of Senior Big Data Platform Engineer at U.S. Bank, your main responsibilities include designing and implementing end-to-end data solutions, deploying and maintaining the data engineering platform using open-source tools, automating infrastructure for efficient operations, and developing disaster recovery plans to safeguard data. You'll also be responsible for establishing security measures and providing essential documentation and training resources for team members.

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What tools and technologies should you be familiar with for the Senior Big Data Platform Engineer position at U.S. Bank?

As a Senior Big Data Platform Engineer at U.S. Bank, it's crucial to be familiar with tools such as Airflow, Hive, Kafka, Spark, and DevOps practices. Experience with Azure services, including Azure Databricks, Azure Data Factory, Azure DataLake, and Kubernetes is also important for successfully implementing and maintaining big data platforms.

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What does the career progression look like at U.S. Bank for a Senior Big Data Platform Engineer?

At U.S. Bank, the career trajectory for a Senior Big Data Platform Engineer is designed for growth and development. You will have access to a variety of resources and opportunities to upgrade your skills and expertise, potentially leading to advanced roles in big data architecture, analytics, and leadership positions within the technology department.

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What kind of work environment can a Senior Big Data Platform Engineer expect at U.S. Bank?

At U.S. Bank, Senior Big Data Platform Engineers can expect a collaborative and innovative work environment where flexibility is valued. With options for both remote and in-office work, you'll work alongside skilled professionals dedicated to helping you grow while contributing to building impactful data solutions.

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Common Interview Questions for Senior Big Data Platform Engineer (multiple positions) in Irving, TX.
Can you explain the end-to-end data solution you implemented in your previous role?

When answering this question, provide a detailed overview of a specific project where you designed an end-to-end data solution. Discuss the challenges you faced, the technologies you used such as Airflow or Spark, and the outcomes of your project to demonstrate your hands-on experience and ability to deliver results.

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What strategies do you use for disaster recovery in data management?

For this question, elaborate on your strategies for disaster recovery, such as regular backups, data replication, and testing recovery processes. Share specific examples from your experience to show your understanding of safeguarding data and maintaining system reliability.

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How do you approach automating infrastructure deployments?

Address this question by sharing your experience with tools like Terraform or Jenkins for automation. Discuss specific instances where you successfully automated deployment processes, emphasizing the efficiencies gained through your efforts.

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Describe your experience with data pipeline maintenance using GitHub.

Highlight your familiarity with GitHub for version control in maintaining data pipelines. Explain how you've used GitHub to collaborate with your team, manage updates, and track changes to ensure the integrity of your data projects.

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How do you ensure security measures are in place to protect sensitive data?

When responding, detail the security measures you've implemented previously, such as encryption protocols, access controls, and regular security audits. Providing concrete examples will help illustrate your commitment to protecting sensitive information.

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What role does collaboration play in your work as a Big Data Engineer?

Emphasize the importance of collaboration in your role as a Big Data Engineer. Share examples of how you've partnered with cross-functional teams to identify requirements, address challenges, and ultimately drive successful project outcomes.

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How do you keep up with new technologies in big data?

Discuss your proactive approach to staying updated with industry trends, such as following relevant blogs, participating in online courses, attending webinars, or engaging with the technical community. This demonstrates your commitment to continuous learning.

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Can you give an example of a challenging big data project you managed?

Prepare to share a specific project that posed challenges, detailing how you approached the problem, the technologies you applied, and the solutions that led to a successful outcome. Highlight your problem-solving skills and technical expertise.

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What is your experience with cloud platforms, particularly Azure?

Here, highlight your experience with Azure components like Azure Data Lake, Azure Synapse, and beyond. Be specific about the projects you've worked on, the services utilized, and how you've leveraged Azure for big data solutions.

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Describe a time when you improved the performance of a data processing task.

When answering, describe a particular instance where you identified performance bottlenecks in data processing tasks. Discuss the steps you took to analyze issues, the optimizations you implemented, and the measurable improvements that resulted.

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U.S. Bancorp, with approximately 70,000 employees and $601 billion in assets as of September 30, 2022, is the parent company of U.S. Bank National Association. The Minneapolis-based company serves millions of customers locally, nationally and glob...

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DATE POSTED
March 31, 2025

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