Staff Engineer - Data Engineering

Early Warning Services LLC; Scottsdale (AZ); On-site; USD 145,000 - 186,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) plan

Paid time off

Parental leave

Job summary

Early Warning Services LLC is seeking an experienced Senior Data Platform Architect to lead the design and delivery of large-scale data systems across our hybrid work locations in Scottsdale, Chicago, New York, and San Francisco. You will partner with product and engineering to define data architecture and enable scalable, secure data pipelines.

The role requires strong background in distributed systems, cloud platforms, and BI/ML toolchains, with a track record of delivering mission-critical

Qualifications

• Bachelor's degree or higher in CS or related technical field.
• 8+ years in complex data platforms and distributed systems.
• 7+ years in data platforms, cloud SaaS, and microservices.
• 6+ years in data warehousing, real-time/batch processing, and standards.
• 4+ years in BI solutions.
• 2+ years in AI/ML model development and lifecycle.
• Experience delivering business-critical systems to market.
• Experience designing scalable data warehouses with SQL Server or equivalents.

Responsibilities

• Define and own data strategy for broad, complex requirements.
• Lead architecture, prototyping, and implementation for data initiatives.
• Guide backlogs and ensure delivery from design to production.
• Collaborate with product, design, and other teams to build new features.
• Improve data standards, tooling, and engineering processes.
• Support risk management and data confidentiality across systems.
• Resolve production issues with Support and Operations teams.
• Drive testing for quality, performance, and scalability.

Skills

Data platforms

Distributed systems

Cloud solutions

Big data

Python

Spark

ETL tooling

SQL Server

GCP

AWS

Azure

CI/CD

DevOps

Agile/Scrum

Pub/Sub

Kafka

RabbitMQ

Data warehousing

Education

Bachelor's degree in Computer Science

Tools

IBM Infosphere

Hadoop ecosystem

Scalability design patterns

Job description

Overview

At Early Warning, we protect and enable the U.S. financial system with cutting-edge solutions and trusted payments capabilities. This position is located in Scottsdale, San Francisco, Chicago, or New York and follows a hybrid work model to promote collaboration.

Candidates must independently possess eligibility to work in the United States at the date of hire. This position is ineligible for employment visa sponsorship.

Essential Functions

• Build data strategy for broad or complex requirements with forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs.
• Drive all aspects of technical and data architecture, design, prototyping, and implementation in support of product needs and the overall technology data strategy.
• Provide leadership and technical expertise to build a technical plan and backlog of stories, and follow through on execution from design to production delivery.
• Guide a broad functional area and lead efforts with the functional team and the team’s overall planning.
• Represent engineering in cross-functional sessions and present sound arguments to persuade others, adapting strategies to influence outcomes.
• Collaborate with product managers, designers, and other engineering teams to conceptualize and build new features and create product descriptions.
• Own features or systems and define their long-term health, while improving the health of surrounding systems.
• Assist Support and Operations teams in identifying and quickly resolving production issues.
• Develop and implement tests to ensure quality, performance, and scalability of the application.
• Seek opportunities to improve engineering and data standards, tooling, and processes.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Minimum Qualifications

• Bachelor’s degree in computer science or related technical field, or equivalent experience.
• Typically 8 or more years of relevant experience; focus on complex data platforms and distributed systems is preferred.
• 7+ years in developing complex data platforms, distributed systems, SaaS, cloud solutions, and microservices.
• 6+ years in data warehouse and big data platforms, real-time and batch processing, and data standards.
• 4+ years in development of business intelligence solutions.
• 2+ years in development/operationalization of AI/ML models and lifecycle activities (feature engineering, data pipelines, model monitoring).
• Proven experience delivering business-critical systems to market and ability to influence in a collaborative team environment.
• Experience designing/developing scalable systems and data warehouse implementations (e.g., Star/Snowflake schemas) with SQL Server or equivalent; experience with Big Data (HDFS, ElasticSearch); ETL tooling (IBM Infosphere or equivalent); reusable frameworks.
• Experience with data science tools (Python, Spark, PySpark, R) and event-driven architectures (Pub/Sub, Kafka, RabbitMQ).
• Experience with cloud infrastructures (Google Cloud Platform, AWS, Azure) and mature engineering practices (CI/CD, testing, secure coding).
• Knowledge of SDLC, Agile/Scrum/LEAN, and DevOps practices; strong attention to detail; background check and drug screen completion.

Preferred Qualifications

• MS or PhD.
• Experience with AI/ML frameworks (TensorFlow, SageMaker, Scikit, PyCharm).
• Big Data platforms (Cloudera, S3); database platforms with performance and replication considerations (Oracle, SQL Server).
• Programming languages (Python, PySpark, R); knowledge of Aerospike, Scality S3, ElasticSearch.
• Monitoring/observability experience (AppDynamics or similar).
• Knowledge of ACH/EFT and real-time payment networks (RTP, FedNow).
• FinTech experience and Kubernetes familiarity.

Physical Requirements

While performing the duties of this role, the employee is primarily in an office environment, sitting and using a computer for extended periods. Occasional standing, walking, kneeling, and reaching may be required. Must be able to lift 10 pounds occasionally and communicate effectively with internal and external customers. Reasonable accommodations will be provided as needed.

Equal Opportunity

Early Warning Services is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender identity or expression, age, national origin, disability, or any other status protected by applicable law.

Compensation and Benefits

The base pay scale for this position varies by location. For Phoenix, AZ and Chicago, IL, the range is $145,000 – $186,000 per year. For New York, NY and San Francisco, CA, the range is $174,000 – $223,000 per year. Candidates may be eligible for a discretionary incentive plan and benefits. This pay scale is subject to change and may not reflect the actual compensation offered. All compensation decisions consider factors such as job scope, market rates, geographic location, education, experience, and skills. The company supports wage equity and does not base pay on protected characteristics.

Health and Benefits Highlights

• Healthcare coverage, including medical (PPO/HDHP), dental, and vision plans, with employer contributions to HSAs or FSAs.
• 401(k) plan with company match on deferral.
• Paid time off, holidays, and a paid volunteer day.
• Paid parental leave and family planning support.

Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records for employment. Early Warning Services, LLC is committed to equal employment opportunity and affirmative action for all applicants and employees.