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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** SHAHANI CHIROPRACTIC INC. - **Location:** Chattanooga, TN, United States - **Experience:** Expert - **Salary:** $110,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Microsoft Excel, Adaptable Database Systems, Application Programming Interfaces (APIs), Amazon Web Services, IBM System I, Microsoft Azure, Cloud Computing, Cloud Database, Databases, Data Validation, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Structures, Data Synchronization, Data Systems, Data Warehousing, IBM DB2, Query Languages, Software Debugging, Distributed Data Store, Microsoft SQL Server, SQL Azure, NoSQL, Oracle (Applications), Query Optimization, Power BI, Standard Sql, SQL Databases, SQL Server Reporting Services, Data Streaming, Tableau (Software), Data Storage Technologies, Delivery Pipeline, Storage Technologies, Information Technology, Non-relational Database, Cosmos DB, Data Delivery, Data Pipelines - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/job/usca1c123f4e089dde9574ec2a8ae47991/eaa ## About the Role Skills & Experience of the Senior Data Engineer Include: * Experience: 5+ years of dedicated data engineering experience working with large-scale production databases and high-compliance distributed data environments. * Data & API Engineering: Proven mastery in building complex data pipelines, working with heavy data orchestration tools, and extracting data from complex third-party API networks. * Advanced Database Knowledge: Deep expertise in SQL/NoSQL query tuning, data warehousing principles, schema evolution, and index optimization. * Cloud Infrastructure: Hands-on experience with cloud data storage architectures (e.g., AWS, Azure) and modern practices for data pipelines. * Problem-Solving under Complexity: A clear track record of debugging mismatched data architectures, handling breaking schema changes, and optimizing slow, multi-system data jobs., * A minimum of 5 years of experience in data engineering, analytics, or reporting roles. * At least 3 years of work experience in Business Intelligence is preferred. * Bachelor's degree in Mathematics, Economics, Computer Science, or other quantitative degrees preferred. * Strong knowledge of SQL, SSRS, MS Excel, Power BI, Oracle, Tableau, and other Business Intelligence tools. * Knowledgeable and experienced with different data sources, such as, MS SQL, Excel files, Azure SQL, Azure Cosmos DB, AS400, DB2, and Cloud Data Sources. * Deep understanding of SQL databases and query language. * Advanced Excel skills. * Familiarity with data storage, retrieval, and manipulation methods within both relational and non-relational database architectures. * Knowledge and experience in the Commercial (P&C) Insurance industry is a plus. ## Description Vital Services is seeking a talented and experienced Senior Data Engineer to join our growing Information Technology team. This is an extraordinary opportunity to be a part of, and play an integral role in, the development of our Data & Reports team! As a Senior Data Engineer, you will work closely with our customer's department leads and project coordinators to evaluate business needs and develop reports and dashboards to support strategic goals. The core focus of this role is to architect, build, and optimize robust data pipelines and storage solutions that ensure secure, high-performance data delivery, reporting accuracy, and seamless data synchronization across multiple core systems. You will also collaborate with other members of the Data and Information Technology teams to plan, design, develop, test, and deploy business intelligence data solutions. The core focus of this role is to architect, build, and optimize robust data pipelines and storage solutions that ensure secure, high-performance data delivery, reporting accuracy, and seamless data synchronization across multiple core systems. A successful candidate will understand and fulfil their responsibility to develop and support databases, data structures, and data flow, with a focus on data integrity and reliability. Responsibilities of the Senior Data Engineer Include: In our organization, success in this seat means own-and-deliver execution on these five core areas: * Pipeline Architecture & ETL/ELT Execution: Design, build, and maintain scalable data infrastructure and automated pipelines to ingest, transform, and move high-volume data securely. * Database & Schema Modeling: Define and optimize data models, relational/non-relational database structures, and query performance to support reporting and operational applications. * Data Integrity & Governance: Own the monitoring and validation of data flows to ensure complete accuracy, quality, and compliance. * Complexity & Integration Management: Map out and resolve data dependencies across disparate external APIs, legacy databases, and cloud infrastructure, translating data "unknowns" into structured execution plans. * Operational Discipline & Reporting Support: Partner with the data and development teams to ensure pristine task estimating, technical documentation, and delivery data updates., Company / Location Information A.O. 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