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60 Early Warning Data Engineer Jobs Hiring Near You

Early Warning Services

Sr Platform Engineer

Chicago, IL · On-site

Sr. Platform Engineer At Early Warning, we've powered and protected the U.S. financial system for ... Develops a data platform infrastructure strategy in coordination with senior Platform Engineering ...

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What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What is it like to work at Early Warning?

Early Warning is a company that prioritizes collaboration and innovation, fostering a culture of teamwork and open communication among its employees.

As a leading provider of payment processing and risk management solutions, Early Warning operates in a fast-paced environment where employees work together to develop and implement cutting-edge technologies, with a focus on enhancing the security and efficiency of financial transactions.

Working at Early Warning may appeal to candidates who are passionate about technology and finance, as the company offers opportunities for professional growth and development in a dynamic and supportive team environment.
What other companies are hiring for Data Engineer jobs?
What are the most popular jobs at Early Warning?
What are the most popular categories at Early Warning?
Infographic showing various Data Engineer job openings at Early Warning in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 60% Physical, 39% Hybrid, and 1% Remote job distribution.
Sr. Staff Engineer - Data Platform

Sr. Staff Engineer - Data Platform

Early Warning Services, LLC

Scottsdale, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

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.
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.
Overall Purpose
The Sr. Staff Platform Engineer is a senior technical leader responsible for leading the technical strategy that defines the roadmap for the team. This individual architects, designs, builds, implements, automates, and documents the solutions the Platform Engineering team provides to engineering and product teams. Acts as a technical leader on the team and takes the lead on high-impact, cross-functional team projects.
Essential Functions:
  • Own and Develops a platform infrastructure strategy that tackles large, open-ended problems using forward-thinking approaches.
  • Leads the architectural design and contributes to the strategic direction of the Platform Engineering team.
  • Creates technical strategy for broad or complex requirements with forward-looking approaches that go beyond the Platform Engineering team and solve large open-ended problems.
  • Leads all aspects of technical architecture, design, prototyping and implementation in support of both Platform Engineering needs, as well as overall technology strategy.
  • Provides leadership and technical expertise in support of building a technical plan; provides follow through on execution.
  • Builds cross-functional relationships with peers and internally within the Platform Engineering team.
  • Partner with software engineering, product management, architecture, IT operations, and security to shape engineering approaches and deliver high-impact solutions.
  • Takes part in high visibility technical projects from inception to implementation.
  • Stays current with industry trends and innovations through continuing education in Platform Engineering utilizing company provided training.
  • Mentors junior team members with guidance around techniques, tools, and best practices.
  • Supports 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 or experience typically obtained through completion of a Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related fields or equivalent professional experience.
  • Minimum 12 or more years of related industry experience.
  • 9+ years of experience building distributed systems, SaaS platforms, cloud solutions, and microservices.
  • Strong understanding of CI/CD engineering practices.
  • Strong Knowledge of SDLC best practices, Agile/Lean methodologies, DevOps, CI/CD, testing, and secure coding practices.
  • Strong experience with on-premise and AWS Cloud infrastructure.
  • Strong experience with Container and Container Orchestration. (Docker, Podman, Kubernetes)
  • Strong experience with CI/CD Pipelines and Code Management Platforms. (Harness, GitLab, Artifactory)
  • Proficient in Infrastructure as Code (IaC) development. (Terraform, AWS CloudFormation)
  • Experience with a major programming/scripting language. (Python, Java, JavaScript, Shell)
  • Excellent verbal and written communication skills.
  • Strong problem-solving skills, attention to detail and the ability to work in a collaborative environment.
  • Able to make critical technical tradeoff decisions that have cross team impact.
  • Background and drug screen.

Preferred Qualifications
  • Additional related education and/ or work experience preferred.
  • Master's degree in Computer Science, Computer Engineering, Computer Information Systems or related field.
  • AWS Certified Solutions Architect certification or within one year of hire
  • Certified Kubernetes Administrator certification
  • Terraform Authoring and Operations Professional certification
  • FinTech experience is a plus
  • Hands-on experience with modern data platforms and ecosystems, including Snowflake, Databricks, and Cloudera (Hadoop ecosystem)
  • Strong proficiency in observability and monitoring frameworks, including Prometheus (metrics), Grafana (visualization/dashboards), and Tempo (distributed tracing)

Physical Requirements
Early Warning works together in a highly collaborative office environment. 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.
The base pay scale for this position in:
Phoenix, AZ/ Chicago, IL in USD per year is: $150,000 - $200,000.
San Francisco, CA in USD per year is: $180,000 - $240,000.
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.
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 - 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!
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.
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.

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