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# Senior Data Developer

- **Company:** Apco Holdings, Inc
- **Location:** Ponte Vedra Beach, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Backup Devices, Databases, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Systems, Data Warehousing, Database Development, Database Queries, Database Security, Dimensional Modeling, Python (Programming Language), Logical Data Models, Microsoft SQL Server, SQL Azure, Online Analytical Processing, Operational Data Store, Operational Databases, Performance Tuning, Power BI, Cloud Services, SQL Stored Procedures, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Technical Data Management Systems, Data Processing, Azure Data Factory, Amazon Relational Database Service, Information Technology, Data Analytics, Tools for Reporting, SQL Server Management Studio (SSMS), Data Pipelines, Programming Languages
- **Published:** May 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b267a98b6ca3ae0d

## About the Role

Do you have experience in System tuning?, Success in this role requires a strong ability to understand and interpret organizational data. You will develop deep domain knowledge to effectively support integrated data design initiatives and deliver high-quality, data-driven solutions that enable informed business decisions

 * Strong expertise in SQL development, including complex queries, stored procedures, and performance tuning
 * Deep understanding of ETL design, data modeling, and data warehousing concepts
 * Ability to design scalable, efficient database architectures and data pipelines
 * Strong analytical and problem-solving skills with attention to detail
 * Experience translating business needs into technical data solutions
 * Effective communication skills to explain complex concepts to both technical and non-technical audiences
 * Commitment to data accuracy, quality, and continuous improvement, * 5+ years of experience as an ETL Developer, Data Engineer, Database Developer, or similar role
 * Strong experience with SQL Server, SSIS, and Azure Data Factory
 * Proficiency in SQL, including query writing, optimization, and data manipulation
 * Experience with data modeling, dimensional modeling, and data warehousing principles
 * Hands-on experience building and maintaining ETL pipelines
 * Familiarity with tools such as SSMS, SSRS, and Power BI, * Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
 * Experience with OLAP, MDX, and multidimensional data models
 * Familiarity with programming languages such as Python, Java, or .NET
 * Experience with cloud data platforms (e.g., Azure SQL, AWS RDS)
 * Knowledge of database security, backup, and recovery strategies
 * Experience creating semantic models or datasets for reporting tools like Power BI, * Enjoy building data solutions that drive business insights and decision-making
 * Thrive in solving complex data challenges and optimizing performance
 * Are detail-oriented and passionate about data accuracy and quality
 * Like collaborating with cross-functional teams to turn data into value
 * Are eager to deepen your understanding of enterprise data and systems
 * Take ownership of your work and enjoy designing scalable, long-term solutions

## Description

* Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools
 * Build scalable, reliable ETL pipelines to support enterprise business intelligence and analytics
 * Lead the design of logical data models and implement optimized physical database structures
 * Develop and manage operational data stores, data marts, and enterprise data models
 * Collaborate with business stakeholders to gather data requirements and translate them into technical solutionsIntegrate data from multiple sources including databases, APIs, and flat files
 * Perform data transformation, cleansing, validation, and aggregation to ensure high data quality
 * Monitor, optimize, and troubleshoot ETL performance and data workflows
 * Deploy, schedule, and maintain production data processes with proper documentation and controls
 * Ensure data accuracy, security, and availability through governance, access controls, and backup strategies


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