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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Engineer - Data Engineering - **Company:** Early Warning Services, LLC. - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $175,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Application Frameworks, Microsoft Azure, Batch Processing, Big Data, Software as a Service, Cloud Computing, Cloud Engineering, Cyber Security, Databases, Continuous Delivery, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Distributed Systems, Elasticsearch, Payment Systems, R (Programming Language), Hadoop Distributed File System, IBM InfoSphere (ETL Tools), Python (Programming Language), Transport Layer, Machine Learning, Messaging Application Programming Interface, Apache Maven, Microsoft SQL Server, Oracle Databases, Oracle (Applications), Scrum Methodology, Systems Development Life Cycle, RabbitMQ, Cloud Services, Tensorflow, Cloudera, Secure Coding, Software Engineering, Aerospike, Data Processing, Scripting, Google Cloud, Feature Engineering, Apache Spark, Data Strategy, Event Driven Architecture, Pyspark, Scikit Learn, Kubernetes, Information Technology, Star Schema, Apache Kafka, Data Management, Appdynamics, Data Pipelines, Microservices - **Published:** September 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-engineer-data-engineering-chicago-il--012a6d8c-687d-470a-b7f4-b2931096c257 ## About the Role * 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., * MS or PHD * Experience using AI/ML Model Frameworks like Tensorflow, Sage Maker, Scikit, PyCharm * Big Data Platforms (Cloudera, S3) * Database platforms (Oracle, SQL Server) with experience around performance aspects and replication * Computer language experience (Python, PySpark, and R) * Knowledge of Aerospike, Scality S3, Elastic Search * Monitoring and Alerting systems experience (AppDynamics) or other observability measures * Knowledge of ACH/EFT * Knowledge of real time payment networks (RTP, FedNow) * Experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring). * FinTech experience * Kubernetes 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., Affirmative Action, Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Architectural Design, Artificial Intelligence (AI), Best Practices, Big Data, Business Development, Business Solutions, Business Support, Cloud Architecture, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Corporate Law, Cross-Functional, Data Management, Data Modeling, Data Processing, Data Science, Data Warehousing, Database Extract Transform and Load (ETL), Detail Oriented, DevOps, Develop Methodologies, Distributed Computing, Elasticsearch, Equal Employment Opportunity (EEO), Family Planning, Federal Laws and Regulations, Financial Services, Financial Systems, Flexible Spending Accounts, Follow Through, Genetics, HDFS (Hadoop Distributed File System), Health Plan, IBM Product Family, Incentive Programs, Information/Data Security (InfoSec), Leadership, Leading Edge Technology, Legal, Machine Learning, Machine Tool, Maven, Microservices, Microsoft SQL Server, Operational Support, Oracle Database, Pediatrics, Physical Demands, Preferred Provider Organization (PPO), Presentation/Verbal Skills, Problem Solving Skills, Process Development, Product Design, Product Lifecycle, Product Support, Project Evaluation, Prototyping, Python Programming/Scripting Language, R Programming Language, Realtime Transport Protocol, Replication and Remote Mirroring, Risk Management, Robot (Python Framework), Scalable System Development, Scrum Project Management and Software Development, Secure Coding, Small Business, Snowflake Schema, Software Development, Software Development Lifecycle (SDLC), Software as a Service (SaaS), Star Schema, State Laws and Regulations, Strategic Planning, Team Player, Technical Strategy, Technical Support, Test Plan/Schedule, Testing ## Description * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Kafka & RabbitMQ: Why NATS is the Future of Microservices Messaging](https://www.wearedevelopers.com/videos/1646-beyond-kafka-rabbitmq-why-nats-is-the-future-of-microservices-messaging) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Why Systems Break After Initial Success: The Architectural Failures That Take Months to Surface](https://www.wearedevelopers.com/videos/2048-why-systems-break-after-initial-success-the-architectural-failures-that-take-months-to-surface) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)