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Sr. Software Engineer - Data Engineering

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Some of the Ways We Prioritize Your Health and Happiness 

 

  • Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
  • 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
  • Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
  • 12 weeks of Paid Parental Leave
  • Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

 

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. 

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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 Sr. Software Engineer - Data Engineering, Early Warning Services

Are you ready to take your career to the next level? At Early Warning, we’re on the lookout for a talented Sr. Software Engineer specializing in Data Engineering to join our dynamic team in Scottsdale. With over thirty years of experience at the forefront of the U.S. financial system, we’ve made our mark with innovative solutions like Zelle® and Paze℠. In this role, you’ll leverage cutting-edge technologies to support our mission of increasing access to financial services while safeguarding transactions for millions. Our hybrid work model fosters a collaborative environment where you can thrive alongside some of the best minds in the industry. From healthcare coverage that includes dental and vision plans to a robust 401(k) with a company match, we prioritize your health and happiness. Additionally, enjoy unlimited time off, 12 weeks of paid parental leave, and a plethora of benefits designed to support you throughout your journey. Your experience and skills are valued here, and we believe in nurturing talent to achieve collective success. If you’re passionate about data engineering and excited to make a significant impact, we invite you to discover how you can contribute to our innovative projects and develop your career with us at Early Warning.

Frequently Asked Questions (FAQs) for Sr. Software Engineer - Data Engineering Role at Early Warning Services
What are the responsibilities of a Sr. Software Engineer - Data Engineering at Early Warning?

As a Sr. Software Engineer in Data Engineering at Early Warning, you will be responsible for designing and implementing scalable data solutions, collaborating closely with cross-functional teams to optimize data flow and storage. Your expertise will be crucial in developing ETL processes and ensuring data integrity to support our core financial solutions. You'll also take part in code reviews, mentoring junior engineers, and driving best practices in data engineering. It's about making a difference in the financial landscape through innovative data solutions.

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What qualifications are required for the Sr. Software Engineer - Data Engineering position at Early Warning?

To be a successful candidate for the Sr. Software Engineer - Data Engineering at Early Warning, you typically need a strong background in computer science or a related field, alongside proven experience in data engineering or software development. Proficiency in programming languages such as Python or Java, as well as experience with SQL and cloud computing platforms, are crucial. You should also possess strong problem-solving skills and a collaborative mindset to thrive in our dynamic environment.

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What benefits does Early Warning offer for the Sr. Software Engineer - Data Engineering role?

Early Warning provides an attractive benefits package for the Sr. Software Engineer - Data Engineering role, including competitive healthcare coverage, a 401(k) plan with an immediate company match, and unlimited paid time off for exempt employees. Additionally, we offer a generous parental leave policy, access to family planning resources, and a supportive work environment that promotes work-life balance and a culture of innovation.

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Is there room for advancement for a Sr. Software Engineer - Data Engineering at Early Warning?

Absolutely! At Early Warning, we believe in nurturing talent and promoting from within. As a Sr. Software Engineer - Data Engineering, you will have clear career progression opportunities, including pathways to leadership roles or specialized technical positions. We are committed to helping you develop your skills through professional development programs and mentorship, enabling you to advance your career within the organization.

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What is the work environment like for a Sr. Software Engineer - Data Engineering at Early Warning?

The work environment for a Sr. Software Engineer - Data Engineering at Early Warning is collaborative, innovative, and dynamic. We embrace a hybrid work model that allows flexibility while fostering teamwork and creative problem-solving. You’ll work with a diverse group of professionals in a culture that values respect, inclusion, and the exchange of ideas all aimed at driving business success and enhancing the customer experience.

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Common Interview Questions for Sr. Software Engineer - Data Engineering
Can you describe your experience with data engineering tools and technologies?

When answering this question, share specific tools and technologies you’ve worked with, such as Apache Spark, Kafka, or cloud services like AWS or Azure. Highlight your experience in using these tools for ETL processes, data modeling, or analytics, demonstrating your ability to implement solutions effectively.

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How do you ensure data quality in your engineering processes?

Discuss your strategies for data validation, error handling, and monitoring. Explain your approach to building robust data pipelines and how you proactively identify and resolve issues to maintain data integrity. Providing specific examples from past projects can reinforce your answer.

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What is your approach to optimizing data storage and retrieval?

In your response, focus on methods you’ve applied such as partitioning, indexing, and using the right database for the use case. Share an example of a project where your optimizations led to improved performance and efficiency in data processing.

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How do you prioritize tasks when working on multiple data projects?

Explain your time management strategies, such as using Agile methodologies or project management tools. Talk about how you assess project requirements and deadlines to prioritize effectively while ensuring you meet key milestones.

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Can you give an example of a challenging data problem you solved?

Describe a specific situation where you encountered a significant data issue. Focus on how you analyzed the problem, the steps you took to resolve it, and the positive impact of your solution on the team or project outcomes.

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How do you stay updated with the latest trends in data engineering?

Share your strategies for continuous learning, such as following industry publications, attending conferences, or participating in online courses. Mention specific resources or communities you engage with to stay informed about emerging technologies and best practices.

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What role does collaboration play in your work as a data engineer?

Emphasize the importance of teamwork in data engineering. Highlight your experience working across departments, collaborating with data scientists, product managers, and other stakeholders to ensure data solutions align with business objectives.

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Describe your experience with cloud platforms and their use in data engineering.

Illustrate your experience with specific cloud providers, such as AWS, Google Cloud, or Azure. Detail how you have utilized their services for data processing, storage solutions, or analytics applications, and the advantages those services offered in your projects.

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How do you approach security in data engineering?

Discuss your understanding of data security principles and best practices. Explain methods you employ to protect sensitive information, such as data encryption, access controls, and compliance with regulations such as GDPR or HIPAA.

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What would you consider your greatest strength as a Sr. Software Engineer - Data Engineering?

Identify a particular strength relevant to the role, such as problem-solving, attention to detail, or effective communication. Use specific examples to demonstrate how this strength has positively impacted your work and how it can benefit Early Warning.

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Early Warning Services, LLC, a financial services technology leader, has been empowering and protecting consumers, small businesses, and the U.S. financial system with cutting-edge fraud and payment solutions for more than three decades. We are al...

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Full-time, hybrid
DATE POSTED
April 6, 2025

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