> Markdown version of [/jobs/ext/1815621-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/1815621-sr-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer - **Company:** Fiserv, Inc. - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Salary:** $128,000.0 - $216,000.0 - **Contract:** Temporary contract - **Skills:** Training Data, Java (Programming Language), Microsoft Azure, Big Data, Cloud Database, Computer Programming, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Security, Data Systems, Database Queries, Amazon DynamoDB, Fraud Prevention and Detection, Spring Framework, Python (Programming Language), PostgreSQL, Machine Learning, NoSQL, Performance Tuning, Feature Engineering, Azure Data Factory, Delivery Pipeline, Apache Spark, Caching, Indexer, Pyspark, Information Technology, Cassandra, Data Management, Restful APIs, Data Pipelines, Unsupervised Learning, Databricks - **Published:** July 16, 2026 - **Apply:** https://dejobs.org/x/x/44805A437C43441EB5FC350820ED6AC9/job/ ## About the Role * 7+ years of hands-on programming experience in Python and Java. * 3+ years of technical lead experience designing and delivering data solutions at scale and in data engineering, data architecture, or analytics, including direct experience supporting fraud detection and risk management. * 2+ years of experience preparing data for and supporting machine learning models using fraud data, including feature engineering and model operationalization. * Experience with NoSQL databases such as Cassandra, PostgreSQL, or DynamoDB, Spark/PySpark, Databricks, and Azure data services. * Strong SQL skills and proven experience managing large data volumes and applying best practices in partitioning, indexing, caching, and performance tuning. * Experience with pipeline automation, orchestration, and incremental data loading processes and knowledge of supervised and unsupervised learning techniques. * Experience in data mapping, standardization, data quality rule development, and creation of derived attributes for analytics. * Bachelor's degree in computer science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience., * You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered. ## Description You will play a key role in designing and building scalable data solutions that support fraud detection and risk management. You will architect high-performance data platforms, develop reliable pipelines, and partner closely with data science and cross-functional teams to enable advanced analytics and machine learning solutions. What you'll do: * Build, maintain, and optimize high-volume data pipelines with high performance, reliability, and cost efficiency. * Design and implement scalable, secure data architectures for analytics and operational fraud and risk use cases. * Manage large-scale datasets while ensuring strong data quality, integrity, lineage, and governance controls. * Partner with data scientists to prepare training data and operationalize machine learning models for fraud detection. * Develop robust solutions using technologies such as Cassandra, PostgreSQL, Python, PySpark, and Databricks, REST API, Java, Spring. * Implement cloud-based data solutions in Microsoft Azure to support scalability, resiliency, and security and define and uphold data governance standards, best practices, and policies across the data lifecycle. * Coordinate releases, deployments, and updates across complex environments and cross-functional teams to ensure smooth implementation with minimal disruption. * Take ownership of environments and deployments, manage priorities effectively, and deliver with accountability., * This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)