Join Wells Fargo's Cyber ML/AI Team as a Data Engineer and Protect the Financial Future of Millions
Wells Fargo, one of the world's leading financial institutions, is on the lookout for a skilled Data Engineer to join its Cyber ML/AI team. As a Data Engineer in this team, you will play a crucial role in enhancing the company's overall safety posture by detecting cybersecurity anomalies and analyzing consumer behavior and logon information. This is a unique opportunity to work with cutting-edge technology and contribute to the security and integrity of the financial services industry.
About the Role
In this role, you will be responsible for participating in data warehouses across multiple databases and identifying opportunities for developing table schemas within Cyber Security. You will review and analyze data management business, operational, or technical assignments or challenges that require research, analysis, and selection of options, exercising independent judgment to guide medium-risk deliverables. You will also present guidelines for resolving more complex data management conditions and developing knowledge within the business data policies, procedures, and compliance requirements.
Key Responsibilities
- Participate in data warehouses across multiple databases and identify opportunities for developing table schemas within Cyber Security.
- Review and analyze data management business, operational, or technical assignments or challenges that require research, analysis, and selection of options.
- Exercise independent judgment to guide medium-risk deliverables and present guidelines for resolving more complex data management conditions.
- Collaborate and consult with technology colleagues, internal partners, and stakeholders, including internal and external clients if applicable.
- Develop and maintain a deep understanding of business data policies, procedures, and compliance requirements.
Essential Qualifications
To be considered for this role, you must meet the following essential qualifications:
- Bachelor's degree in Computer Science or related field, such as Information Technology, Information Systems, or Software Engineering.
- 2+ years of Data Engineering experience, or equivalent validated through one or a combination of the following: work experience, training, military experience, or education.
Preferred Qualifications
While not mandatory, the following preferred qualifications will be considered a plus:
- Minimum of two years of Python programming experience, or another high-level programming language such as Java or C#.
- Minimum of one year of Data Analysis experience in the Financial Services area, preferably.
- Minimum of one year of Cyber Security domain exposure, with a deep understanding of cybersecurity threats and mitigation strategies.
- Experience working with Visualization tools such as PowerBI, Tableau, Splunk, or similar.
- Experience in building data engineering pipelines for various data sources (Databases, APIs, etc.).
Skills and Competencies Required for Success
To excel in this role, you will need to possess the following skills and competencies:
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify patterns and trends.
- Excellent communication and collaboration skills, with the ability to work effectively with technology colleagues, internal partners, and stakeholders.
- Strong understanding of data management principles, including data governance, data quality, and data security.
- Ability to work independently and exercise independent judgment to guide medium-risk deliverables.
- Strong knowledge of programming languages, including Python, Java, or C#.
Career Growth Opportunities and Learning Benefits
As a Data Engineer at Wells Fargo, you will have access to a wide range of career growth opportunities and learning benefits. You will be able to develop your skills and expertise in data engineering, data analysis, and cybersecurity, and advance your career within the company. You will also have the opportunity to work with cutting-edge technology and contribute to the development of innovative solutions that enhance the company's overall safety posture.
Work Environment and Company Culture
Wells Fargo is committed to creating a diverse and inclusive work environment that values the unique perspectives and experiences of its employees. As a remote worker, you will be able to work from the comfort of your own home, while still being connected to a team of talented professionals who are passionate about cybersecurity and data engineering.
Compensation, Perks, and Benefits
Wells Fargo offers a comprehensive compensation package that includes a competitive hourly rate of $33-$40 per hour. In addition to this, you will be eligible for a range of benefits, including:
- 401(k) Plan, with company matching contributions.
- Paid Time Off, including vacation days, sick leave, and holidays.
- Parental Leave and Critical Caregiving Leave, to support your work-life balance.
- Discounts and Savings on a range of products and services.
- Health Benefits, including medical, dental, and vision coverage.
- Commuter Benefits, to help you save money on your daily commute.
- Tuition Reimbursement and Scholarships for dependent children, to support your ongoing education and development.
- Adoption Reimbursement, to support your family planning needs.
Conclusion
If you are a skilled Data Engineer with a passion for cybersecurity and data analysis, we encourage you to apply for this exciting opportunity at Wells Fargo. With a competitive hourly rate, comprehensive benefits package, and opportunities for career growth and development, this is a role that offers a unique combination of challenge, reward, and personal fulfillment. Don't miss out on this chance to join a talented team of professionals and contribute to the security and integrity of the financial services industry.
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