Senior Data Software Engineer
199552-TX-Westlake Phone Bank, United States
Wells Fargo
Committed to the financial health of our customers and communities. Explore bank accounts, loans, mortgages, investing, credit cards & banking services»About this role:
Wells Fargo is seeking a Senior Data Software Engineer who will support (EFT) The Enterprise Functions Technology group. EFT provides technology solutions and support for Risk, Audit, Finance, Marketing, Human Resources, Legal, Public Affairs and Stakeholder Relations business lines. In addition, EFT provides unique technology solutions and innovation for Wells Fargo Technology, Enterprise Shared Services, and Enterprise Data Management.
Finance Technology organization within EFT is seeking a Senior Software Engineer to design, develop & implement data solutions.
Learn more about the career areas and lines of business at wellsfargojobs.com.
In this role, you will:
- Lead moderately complex initiatives and deliverables within technical domain environments.
- Design, develop & implement complex data processing solutions using Apache Spark
- Ensure solutions are highly usable, scalable, and maintainable. Perform code and design reviews to ensure performance, maintainability, and standards.
- Collaborate with, partner with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices.
- Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines.
- Ensure adherence to the Banking Platform Architecture and meeting non-functional requirements with each release.
- Collaborate and consult with peers and colleagues to resolve technical challenges and achieve goals.
Required Qualifications:
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- 4+ years of hands-on experience with building high performing ETL/Data pipelines using Apache Spark and Big data ETL solutions.
- 4+ years of design and development experience with Python/PySpark/Scala.
- 4+ years of experience working with at least one of the big data technologies like Hadoop/HDFS/Hive/Iceberg/Kafka.
- 4+ years of experience in Translating business concepts to technical implementations to drive alignment and decision making.
- 2+ yrs of experience leading high-performing, agile software teams.
Desired Qualifications:
- 3+ years of Database Engineering experience environments (SQL Server, Oracle etc.)
- 2+ years of experience with Python & Unix/Shell scripting.
- 2+ years of experience with CI/CD tools including GitHub, Jenkins, Artifactory, Sonar, UDeploy, Liquibase, Harness, Maven or Gradle etc.
- A Bachelor’s degree and/or Master’s degree in Computer Science or related engineering field
- Strong understanding of data modeling and data warehousing concepts
- Excellent problem-solving and analytical skills
- Strong verbal, written, and interpersonal communication skills.
- Experience with data lake technologies (i.e., Dremio), Iceberg S3 Table etc.
- Experience with Autosys/Control M/Airflow or any job scheduling software
- Experience with AWS, GCP, Azure, NetApp, or similar cloud platform
Job Expectations:
- Ability to work on-site at approved location listed
- This position is not eligible for Visa sponsorship
- Relocation assistance is not available for this position
Posting End Date:
5 Jun 2025*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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Azure Banking Big Data CI/CD Computer Science Data management Data pipelines Data Warehousing DevOps Engineering ETL Finance GCP GitHub Hadoop HDFS Jenkins Kafka Maven Oracle Pipelines PySpark Python Scala Shell scripting Spark SQL
Perks/benefits: Career development Relocation support
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