Staff Engineer – Data Engineering

Early Warning

Staff Data Engineer developing and evolving data platforms for financial services. Collaborating with teams to deliver scalable cloud solutions supporting payment products and AI/ML workloads.

Posted 8/1/2026full-timeChicago • Arizona, California, Illinois • 🇺🇸 United StatesLead💰 $175,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing complex data platforms and distributed systems, with a strong focus on data architecture, cloud solutions, and machine learning model operationalization. Proven ability to lead cross-functional teams and drive technical strategies that enhance product delivery and system integrity.

Highest-signal resume keywords

Data ArchitectureCloud SolutionsMachine Learning Model DevelopmentData Warehouse ImplementationAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Platform DevelopmentBig Data ProcessingSQL ServerPythonSparkETL Process DevelopmentEvent-Driven ArchitectureCI/CD PracticesSoftware Development LifecycleBusiness Intelligence Solutions

Soft Skills

CollaborationInfluencingAttention to Detail

Tools & Technologies

Google Cloud PlatformAWSAzureIBM InfosphereKafkaRabbitMQData Robot

Industry Keywords

SaaSMicroservicesReal-Time ProcessingBatch ProcessingData Standards

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformHDFSKafkaPySparkPythonRabbitMQSDLCSparkSQL

About the role

Key responsibilities & impact

Build data strategy for broad or complex requirements with insightful and 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 both product needs as well as overall technology data strategy.
Provide leadership and technical expertise in support of building a technical plan and backlog of stories, and then follow through on execution of design and build process through to production delivery.
Guide a broad functional area and lead efforts through the functional team members along with the team’s overall planning.
Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others.
Adapts to the situation and can draw from a range of strategies to influence people in a way that results in agreement or behavior change.
Collaborate and partner with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions.
Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
Assist Support and Operations teams in identifying and quickly resolving production issues.
Develop and implement tests for ensuring the quality, performance, and scalability of our application.
Actively seek out ways to improve engineering and data standards, tooling, and processes.
Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

What you’ll need

Education and/or experience typically obtained through a Bachelor’s degree in computer science or related technical field.
Eight or more years of relevant related experience.
Seven or more years of experience in the development of complex data platform, distributed systems, SaaS, cloud solutions, micro services.
Six or more years of experience in the development of Data Warehouse, Big Data – structured & unstructured platforms, real-time & batch processing, data standards.
Four or more years of experience in development of Business Intelligent Solutions.
Two or more years of experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring).
Demonstrated experience in delivering business-critical systems to the market.
Ability to influence and work in a collaborative team environment.
Experience designing/developing scalable systems.
Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks.
Experience with implementing data science solutions using Python, Spark, PySpark, R, Data Robot.
Experience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc).
Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc).
Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc).
Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices.
Attention to detail.
Background and drug screen.

Benefits

Comp & perks

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.