Data Engineer II - Zelle

Early Warning Services LLC; United States; Hybrid; USD 83,000 - 132,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan

Paid Time Off

Paid Parental Leave

Maven Family Planning

Job summary

Early Warning Services LLC seeks a Data Engineer to design and develop BI solutions across multiple stacks. You will translate metrics into clear insights, build datamarts, and support dashboards and reports using Tableau and Cloudera.

The role requires collaboration with business users, data scientists, and engineers to deliver scalable data infrastructure, ETL pipelines, and analytics tools while maintaining data quality and security.

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• 2-4 years progressive data engineering experience.
• Strong SQL and Python for data engineering.
• Experience building data pipelines and ETL in Hadoop/AWS.
• Experience with data visualization and dashboards.
• Ability to collaborate with cross-functional teams.
• Background check and drug screen.

Responsibilities

• Define requirements for reports and dashboards with business users.
• Design backend data sources using Cloudera technology stack.
• Create dashboards and reports in Tableau to support business processes.
• Perform in-depth data analysis and ETL design.
• Collaborate on architecture improvements and data platforms.
• Mentor interns and guide data engineers and scientists.

Skills

PySpark/Python

Spark/Scala

Tableau

SQL

Hadoop/AWS

Data modeling

Education

Bachelor’s degree

Tools

Cloudera

Tableau Server

Hive/Impala

Linux

Spark

Job description

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. Early Warning follows 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.

Overall Purpose

The Data Engineer evaluates, designs, and develops business intelligence solutions across multiple technology stacks. They work closely across multiple business functions and technology partners to interpret metrics into information clarity that informs planning, measuring, trending and enhanced operational performance. They research technology best-practices, implement frameworks, and align BI directions with strategic business initiatives. Analyze metrics sources, monitor data quality, define logical inter-dependencies, develop datamarts and build comprehensive business process dashboards.

Essential Functions

• Work with business users to define new and existing requirements for reports and dashboards as well as identify gaps in data, logic, and business understanding
• Design and develop backend solutions for new data sources using Cloudera technology stack
• Using Tableau, create complex, visually appealing, and interactive dashboards/ scorecards/ reports to support business processes, including related trends, and projections
• Conduct in-depth data analysis to come up with logical results and perform cause and effect analysis based on the data available.
• Design data ETL and manipulations to support production and ad-hoc analyses and reports
• Investigate industry best-practices and help guide strategic data platforms, tools, and processes
• Recommends standards, policies and procedures for the form, structure, and attributes of the BI tools and systems
• Provides support and training to business teams as necessary
• Write data infrastructure & analytics software tools for Data Science.
• Mentor and train interns.
• Guide Data Scientists on best practices in software engineering.
• Collaborate with analytics leadership and engineers from other parts of EW on architectural and software enhancements to the Data Science platform.
• Collaborate with Data Science leadership on improving ETL and cluster computing.

Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Minimum Qualifications

Education and experience typically obtain through a Bachelor’s degree. Typically has 2-4 years of demonstrated progressive work experience in the following -

• PySpark/Python/Spark/Scala in a Linux environment for Data Engineering development
• Understanding of Tableau Server and Tableau Dashboard
• Demonstrated ability with testing, problem solving and analysis
• Knowledge of the principle, practices and techniques of dashboard development, reporting, data modeling, ETL and systems design
• Experience working with SQL Spark Software/data engineering in Python
• Machine Learning toolkits in Python/R
• Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3 Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
• Experience collaborating with internal engineering & technology teams within a company on building data infrastructure in a regulated, enterprise environment
• Strong communication skills
• Background and drug screen

Preferred Qualifications

• Prior demonstrated experience 2-4 years
• Scala/Java PySpark experience
• Experience with Hive/Impala & Linux
• Fin-tech experience

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

Compensation

The base pay scale for this position in: Phoenix, AZ/ Chicago, IL in USD per year is: $83,000 - $110,000. New York, NY/ San Francisco, CA in USD per year is: $99,000 - $132,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits. 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. Early Warning Services is an affirmative action and equal opportunity employer.

Benefits

• 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 – Flexible 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!

EEO and Diversity Statement

Early Warning Services is an affirmative action and equal opportunity employer.

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.

E-Verify

Early Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify.

Accommodation for Applicants with Disabilities

If you have a disability or a special need that requires accommodation to navigate our website or complete the application process, please email [e-mail] for an assistance request.

Early Warning Services® delivers innovative payment and risk solutions to financial institutions nationwide. For over 25 years, Early Warning has been a leader in technology that helps protect and advance the financial system. We serve a diverse network of approximately2,500 financial institutions, government entities and payment companies. Our product solutions enable real‑time funds availability for a variety of payment types through our payments network.