> Markdown version of [/jobs/ext/3887527-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/3887527-data-engineer-ii). 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). --- # Data Engineer II - **Company:** Ampcus Inc - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon S3, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Data Stores, Data Warehousing, Graph Database, Identity and Access Management, Python (Programming Language), Metadata, Role-Based Access Control, SQL Databases, Electronic Medical Records, AWS Glue, Non-relational Database, Tools for Reporting, Amazon Redshift - **Published:** October 23, 2026 - **Apply:** https://diversityjobs.com/career/18718207/Data-Engineer-Ii-Texas-Dallas ## About the Role * 3 years of data engineering experience * 3 years of experience with data modeling, warehousing, and building ETL pipelines * 3 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience Preferred Qualifications: * Deep SQL fluency * Deep Python (or equivalent) fluency for orchestration, data quality automation, and pipeline tooling beyond SQL * Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions * Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) ## Description The Field Experience (AFX), Revenue Lifecycle Automation and Intelligence (RAIn) team is seeking a passionate, innovative, and results-oriented Data Engineer to design and build scalable solutions that empower our field teams. You'll bring industry best practices and standards to solve complex business problems, define meaningful metrics, and create systems that operate reliably at scale., * As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. * You will be developing and supporting the analytic technologies that give our customers timely, flexible, and structured access to their data. * You will be responsible for designing and implementing a platform using in-house reporting tools, modeling metadata, building reports, and dashboards in Quick Suite. * You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.