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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer - **Company:** Insight Global - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Microsoft Azure, Information Systems, Information Engineering, Data Files, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Structures, Decision Support Systems, Information Sciences, Python (Programming Language), Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Parsing, Power BI, Azure Machine Learning, SQL Databases, SQL Server Integration Services, SQL Server Analysis Services, Data Streaming, Data Ingestion, HybridCloud, Data Lakes, Information Technology, Data Analytics, Data Management, Database Replication, Api Design, Azure Synapse Analytics, Data Pipelines - **Published:** July 4, 2026 - **Apply:** https://www.juju.com/job/00000000gdjell ## About the Role A bachelor's in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field [or equivalent work experience] - The ideal candidate will have a combination of IT, data governance, analytics, and communication skills. - At least 5 years or more of work experience in data management disciplines including data integration, modeling, optimization, data quality and/or other areas directly relevant to data engineering responsibilities and tasks. - At least 5 years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative. - Strong experience with various languages and advanced analytics tools such as SQL, Python, PowerBI, Microsoft SSIS/SSAS, Azure Synapse and others. - Strong ability to design, build and manage data structures and pipelines for encompassing data transformation, data models, schemas, metadata and workload management. Work with both IT and business in integrating analytics and data science output into business processes and workflows. - Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using data integration technologies, including ETL/ELT, data replication/CDC, message-oriented data movement, API design and development. - An advanced degree in computer science (MS), statistics, information science (MIS), data management, information systems, information science (post-graduation diploma or related) or a related quantitative field [or equivalent work experience] ## Description Insight Global is looking for a Senior Data Engineer to join the Data Analytics team at one of our logistics company clients. This person will collaborate closely with multiple stakeholders across the enterprise and Information Technology (IT) group to ensure the most important data is accessible and well-understood., The Senior Data Engineer designs, develops, implements, and supports new and existing highly efficient ELT/ETL processes and data sets. Other responsibilities include working closely with data consumers, solution architects, security and governance teams to implement solutions to answer complex questions and drive business decisions. Apply your proven communication skills, problem-solving skills, and knowledge of best practices in designing, developing, and deploying data and analytic solutions. Senior Data Engineers need to be adept in several technical and business skills. These include working with diverse datasets, parsing and understanding data, working with domain experts, data scientists and analysts in framing the business problems and provisioning integrated data quickly across multiple environments. Senior Data Engineers need to be inquisitive and motivated to learn modern technologies and capabilities which could benefit the organization and lead the effort in evaluating the technology for acceptance. Senior Data Engineers also assist the business data science efforts with source data, building data sets, helping evaluate models and integrating analytics and data science model outputs into business processes., Hybrid cloud environment: the Senior Data Engineer works in a hybrid cloud ecosystem, composed of Azure, Oracle and on-premises technologies, building and supporting data and analytics solutions. The Senior Data Engineer will need to learn the data, tools and capabilities resident in this hybrid ecosystem, such as Synapse, Data Lakes, Dedicated Pool, Azure ML, SQL Server, SSIS and SSAS. - Build data pipelines: Managed data pipelines consist of a series of stages through which data flows. Designing, building and maintaining data pipelines, in Azure and the on-premises ecosystems, will be the primary responsibility of the data engineer. - Drive data centric decision making: Assists with enhancing the data and metadata management infrastructure to ensure data quality, accessibility and security. - Collaborate across departments: Collaborates with business data consumers, of various skill levels, in refining their requirements for various data and analytics initiatives. This collaboration can lead to building enterprise data products, enabling data-driven decision making. - Lead, educate and train: Be curious and knowledgeable about innovative technologies and data initiatives. Research and propose data ingestion, preparation, integration and operationalization tools or techniques to aid these initiatives. Train team members, data consumers, data scientists and data analysts in these technologies and preparation techniques. - Participate in ensuring compliance and governance during data use: Data engineers work with data governance teams (and information stewards within these teams) in building, vetting and promoting content, which adheres to data governance and compliance initiatives. - Become a data and analytics evangelist: The Senior Data Engineer is a blend of data and analytics "evangelist," "guru" and "fixer." This role promotes the available data and analytics capabilities and expertise to business unit leaders educating them in leveraging these capabilities in achieving their business goals. ## Related Videos - [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) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)