Principal Data Engineer - Data Analytics Platform

Come build the next-gen fintech at Early Warning, network operator of Zelle, where we’re relentlessly focused on empowering prosperity in all its forms.

From fast money movement for over 100 million people who can access Zelle directly through their banking app to new account opening and beyond – we make a difference in the lives of consumers and businesses every day and enable them to live their best financial lives. And we’re only getting started.

With new state-of the-art offices in Scottsdale, AZ (Headquarters) and Chicago, IL – plus a growing presence in San Francisco – we’re entering our next big chapter.

People matter to us, so we think our best work is done when we’re together, in-person. From informal interactions, to sharing ideas, to mentoring and beyond. We also believe in workplace flexibility and empowering teams to determine the rhythm of work to create an inclusive culture. Through the power of innovative collaboration, we offer hybrid and (when necessary) virtual (“remote”) workplace models.

We focus all hiring efforts in a few states and within driving distance of an office location to enable in-person collaboration when and where possible. Priority hiring locations are Scottsdale, AZ, Illinois, NY tri-state metro area (New Jersey, New York and Connecticut) and San Francisco, CA. On exception we will hire in secondary locations such as District of Columbia, Florida, Georgia, Maryland, Nevada, North Carolina, South Carolina, Texas and Virginia. We are not actively recruiting in Colorado, Rhode Island or Washington.

Join us and make your mark on what’s next in fintech.

• Applicants must be authorized to work for any employer in the United States. We are unable to sponsor an employment Visa for this position.
  
  

Overall Purpose

This position is a hands-on, individual contributor and technical leader involved in setting the standards and ensuring excellence in quality of outputs across multiple teams to create an Analytics Data Platform within Early Warning Services. This initiative consists of creating an appropriate replica of various bespoke operational data stores and customer contribution data into a data platform that is fit for analytics and data science workloads. Scale and velocity should excite you, not scare you. We are looking for someone who has successfully built and delivered an Analytics Data Platform from the ground up.

Essential Functions

• Partners with product management to craft product strategy, create product descriptions and ensure alignment to technology roadmaps.
• Be a thought leader: a senior point of expertise on Data Engineering, Data Science, Business Intelligence, software engineering issues, industry trends and developing technologies. Be a role model to others on the team; coach and mentor team members.
• Takes ownership for creating technical product design and architecture – evaluating buy vs. build decisions and bought product maturity and fit for purpose.
• Works closely with customers to understand their needs and create a partnership for making Early Warning products better.
• Documents SDLC artifacts so that other team members can understand and “follow the leader” – such as Confluence documentation, jira artifacts and associated MS-office documents (Excel, Word, PPT).
• Designs, implements and operationalizes a data analytics platform using AWS tools such as:
• S3 storage
• Glue and related tools
• Redshift, DynamoDB
• Athena
• Crawlers
• Observability matters using CloudWatch and CloudTrail
• Coach and develop others to use the above tools by creating small technical demonstrators or POCs.
• Creates and conducts presentations for small-to-medium size groups.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.
• The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.
  
  

Minimum Qualifications

• Education and/or experience typically obtained through a Bachelor's Degree in computer science, or related technical field.
• Minimum 15 or more years of experience in designing and developing complex software projects.
• Experience in influencing cross-functional teams to create high throughput, high velocity data pipelines using both streaming and batch processing paradigms.
• Effective communicator with exceptional public speaking skills. Comfortable presenting to all levels within the company.
• Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices.
• Experience designing, implementing and operationalizing an analytics data platform in AWS.
• Networking experience relevant to moving data between on-prem and cloud environments.
• Experience with data handling processes such as retention policies, masking and encryption for compliance and visibility purposes.
• Current development skills using python, java or Scala.
• Experience with multiple data stores such as Oracle, MS-SQL Server, Postgres and noSql variety.
• Experience running a vendor selection process for relevant analytics platform needs.
• Expertise in terraform, k8s and/or other cloud orchestration technologies.
• Experience creating AWS observability and monitoring systems.
• Experience with several of the following AWS technologies: Glue/Glue Catalog/Glue Crawler, Kinesis/Firehose, RedShift, DynamoDB, Athena.
• Experience with ETL tools.
• Experience with data processing orchestration tools.
• Experience with data cataloging tools.
• Background and drug screen.
  
  

Preferred Qualifications

• Master’s degree in Computer Science or related field
  
  

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employees must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The Pay Scale For This Position In

Phoenix, AZ/ Chicago, IL in USD per year is: $180,000 - $220,000.

New York, NY/ San Francisco, CA in USD per year is: $190,000 - $230,000.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Additionally, candidates are eligible for a discretionary bonus, and benefits.

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.

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