Senior Staff Software Engineer - Data Platform
- Costa Mesa
- Product Development
- Permanent
- Hybrid
- Full Time
- $129,232 - $232,617
Role Summary
Experian is looking for an experienced Senior Staff Software Engineer to develop and deliver direct-to-customer products on a cloud-native platform developed using Java and Python. Reporting to the Senior Director of Software Development, you will be part of a senior software engineering team, involved in projects using the latest technologies, and an important player in designing and implementing product features. This is a technical role requiring excellent coding skills.
What you'll do
You will develop core functionality using cloud-native Java on Spring and integrate machine learning models for an enterprise-level data platform built with Java and Python using leading mainstream open-source technologies.
Experience
- Experience creating solutions incorporating Machine Learning algorithms and models using Python with Data Engineering libraries and tools
- You have developed server-side Java and Python applications using mainstream libraries and frameworks, including the Spring framework, Pandas, SciPy, PySpark, and Pydantic
- Current cloud technology experience with AWS
- Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, SQS, NATS
- You collaborate as a hands-on team member developing a significant commercial software project in Java and Python
- Software development experience building and testing applications following secure coding practices. Additional preferred experience includes building systems for financial services or tightly regulated businesses, security and privacy compliance (GPDR, CCPA, ISO 27001, PCI, HIPAA, etc.) experience
Responsibilities
- You are an active collaborator as a primary member of a software engineering team focused on building event-driven services that provide secure, efficient solutions in a determined timeframe
- You will work with the Data Science teams, creating solutions incorporating Machine Learning algorithms and models using Python with Data Engineering libraries and tools
- You can work on a scalable data streaming application functionality on an AWS cloud-based platform
- Diligently observe and maintain Standards for Regulatory Compliance and Information Security, plus deliver and maintain accurate, complete, and current documentation
- Participate in full Agile cycle engagements, including meetings, iterative development, estimations, code reviews, and design sessions
- You will work with the service quality engineering team to ensure that only thoroughly tested code makes it to production, then own deliverables from design through production operationalization
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As an FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com
- You have 8+ years of software development experience building and testing applications following secure coding practices
- You are a hands-on team member working on a significant commercial software project in Java and Python
- Your recent experience is hands-on building and supporting commercial systems managing data and transactions, including server-side development of Data Flow processes, incorporating Machine Learning models, and performing Data Enrichment and ETL processes.
- Current cloud technology experience with AWS (Kubernetes, Fargate, EC2, S3, RDS PostgreSQL, Lambda, OpenSearch/Elasticsearch). Familiarity with creating and using Docker/Kubernetes applications
- Experience with Continuous Integration/Continuous Delivery (CI/CD) processes and practices (CodeCommit, CodeDeploy, CodePipeline/Harness/Jenkins/GitHub Actions, CLI, BitBucket/Git).
- Knowledgeable and experienced with software and system patterns and their application in prior works. Experience gathering and assessing specifications and requirements. Experience supporting data science efforts.
Benefits/Perks:
- Great compensation package and bonus plan
- Core benefits including full medical, dental, vision, and matching 401K
- Flexible schedule, ability to work remotely, hybrid, or in-office
- Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays
Additional Information
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people's agenda very seriously and focus on what matters: DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people-first approach is award-winning: Great Place To Work™ in 24 countries, FORTUNE Best Companies to Work, and Glassdoor Best Places to Work (globally 4.4 Stars), to name a few. Check out Experian Life on social media or our careers site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability, or age. If you have a disability or special need that requires accommodation, please let us know as soon as possible.
#LI-Hybrid
Explore Experian's award winning 'people first' culture.
Being part of Experian is exciting. Every day brings new challenges, new opportunities, new ways for us to do what we do best: using our innovative technologies and data to work in new and surprising ways. All brought together in a single thought: Discover the Unexpected.
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