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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** IBA InfoTech Inc. - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C Sharp (Programming Language), Customer Data Management, Data Stores, Data Warehousing, Python (Programming Language), Oracle (Applications), Salesforce.Com, Jupyter, Adobe, Kubernetes, Data Management - **Published:** June 14, 2026 - **Apply:** https://ibainfotech.com/data-engineer-4 ## About the Role * 3+ years experience in ETL development using Big Data Technologies * 3+ years experience in building large-scale data processing projects using cloud technologies * 3+ years experience with data modeling and tuning of relational as well as NoSQL datastores * Experience with Programming and Scripting Languages (.NET, Python, Powershell, Java, Batch, Bash and similar) * Industry experience as a data engineer or related specialty (software engineer, application developer) * Experience building/operating highly scalable, fault-tolerant, distributed systems for extraction, ingestion, and processing of large data sets * Experience with software engineering best practices, including but not limited to version control, CICD, automated unit testing * Experience using cloud-native tools and design patterns * Degree in computer science, engineering, or relevant industry experience * Excellent interpersonal skills and the ability to articulate complex technical concepts with technical and non-technical individuals * Ability to approach a technical solution to solve for challenges from a business perspective * Understanding and experience working with customer-centric data and how to define uses for this data to enable business goals * Understanding of the full SDLC process * Limited immigration sponsorship may be available Preferences: * Experience and knowledge with marketing cloud solutions * Experience and knowledge with web analytics or digital marketing * Experience working with public cloud offerings (AWS, Azure, Google Cloud Platform, and similar) * GCP - (Cloud Functions, Composer, SQL, Storage, Dataproc, Datastore, Kubernetes, Big Query, Stackdriver, Pub/Sub) * AWS - (Lambda, Glue, Data Pipeline, Redshift, Aurora, Athena/Spectrum, S3/Glacier, Fargate, Cloud Watch, Kinesis) * Azure - (Functions, Batch, Blob Storage, Data Warehouse, Data Factory, Containers, Monitor, Service Bus) * Experience and knowledge with data science, ML/AI, R, or Jupyter * Experience and knowledge with customer data platforms or demand-side platforms * Experience as an enterprise technical or engineer consultant * Experience using C#, Java or Python * Experience with Martech/Adtech tools and how to integrate technologies into the data management solution. (Adobe, Salesforce, Oracle, Google, and similar) ## Description As a Data Engineer, you'll perform the technical implementation of customer data platforms (CDPs) and serve as a key player as it relates to data management. Your responsibilities will include: * Interface with clients to gather requirements, map solutions, and make recommendations * Lead customer project conference calls or interfaces with the project manager * Create technical specifications to drive the development of the solution * Deliver technical specifications documents for customer review * Design custom development solutions that meet customer requirements * Progress through full development lifecycle for a custom solution * Deploy new solutions to production environments * Maintain and support new and existing solutions and frameworks * Innovate on new ideas to solve customer needs and assist to market internally new solutions * Provide project estimates and timelines to drive new business * Partnership and collaboration with sales and other internal teams * Teaming with engagement managers to communicate project status, risk and issues to clients as appropriate * Engaging cloud solution engineers and other domain-specific SMEs (Adobe, Salesforce, Oracle, Google and similar) to support platform implementation as needed * Coordinating Testing/SIT/UAT activities as required by project scope and team structure ## Related Videos - [Kubernetes dev is fun, but setup and ops isn't! 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