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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Apps Dev Analyst-Cloud Data Engineer - **Company:** The Smart - **Location:** Tallahassee, FL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Microsoft Azure, Batch Processing, C Sharp (Programming Language), Unix, Cloud Database, Information Systems, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Synchronization, Data Warehousing, DevOps, Document-Oriented Databases, Systems Analysis, JSON, Job Scheduling, Python (Programming Language), Operational Databases, Oracle (Applications), Scrum Methodology, Release Management, Cloud Services, SQL Stored Procedures, SQL Databases, Tableau (Software), Extensible Markup Language (XML), Scripting, Cloud Platform System, Data Ingestion, GitHub Copilot, Delivery Pipeline, Snowflake, Generative AI, Information Technology, Data Analytics, Integration Frameworks, Apache Kafka, Data Pipelines, Alteryx, Programming Languages - **Published:** May 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5aa4cf399071cdb3 ## About the Role Do you have experience in XML?, Mid-Senior Level (3 or more years of relevant experience), * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent work experience * 2 or more years of experience in programming or systems analysis * Experience with ETL/ELT development and data warehousing concepts * Experience working with Snowflake and Snowflake SQL * Proficiency in SQL development including scripting and stored procedures * Experience with data pipeline and integration tools such as Kafka or Oracle GoldenGate * Experience with modern programming languages such as Python, C#, or Scala * Experience with Tableau for reporting and dashboard development * Experience working in cloud environments such as AWS or Azure * Experience with batch job scheduling and data job dependency management * Strong understanding of data formats such as CSV, XML, and JSON * Experience supporting production data environments and troubleshooting issues * Strong communication and documentation skills Preferred Qualifications * Experience with Alteryx for ETL/ELT development * Experience with advanced data modeling and data warehouse architecture * Familiarity with Unix scripting and automation * Experience with CI/CD and DevOps tools * Experience with Generative AI tools and developer productivity platforms such as GitHub Copilot Core Skills & Attributes * Strong analytical and data problem-solving skills * Ability to design scalable and reliable data pipelines * Strong attention to detail and data quality * Ability to troubleshoot complex production issues * Effective collaboration across technical and business teams * Ability to manage multiple priorities in a fast-paced environment * Self-motivated with strong ownership and accountability * Strong written and verbal communication skills ## Description The Data Engineer / ETL Developer is responsible for designing, developing, and supporting enterprise data integration, ETL/ELT pipelines, and modern data warehousing solutions. This role works across cloud and on-premises environments to build scalable, reliable data pipelines and reporting systems. The position partners with cross-functional teams to implement data-driven solutions, support production systems, and contribute to modernization initiatives using cloud and advanced analytics technologies., ETL/ELT Development & Data Engineering * Design, develop, and maintain ETL and ELT pipelines for data extraction, transformation, and loading * Build and support data integration solutions across enterprise systems * Develop SQL scripts, stored procedures, and custom data transformation logic * Support batch processing and data ingestion workflows Cloud Data Platforms & Warehousing * Develop and maintain data warehouse solutions using Snowflake and cloud platforms * Work with modern cloud data architectures in AWS or Azure environments * Support data warehouse implementation, optimization, and modernization initiatives * Apply best practices for data modeling, storage, and performance Data Integration & Pipeline Automation * Design and implement data pipelines using tools such as Kafka, Oracle GoldenGate, or Striim * Automate workflows and data pipelines across cloud and on-premise systems * Manage change data capture (CDC) processes and data synchronization * Ensure data pipelines meet performance and SLA requirements Reporting & Analytics Support * Develop dashboards and reports using Tableau Desktop * Support Tableau infrastructure including security, release management, and troubleshooting * Translate business intelligence requirements into data and reporting solutions Production Support & Issue Resolution * Provide support for data warehouse operations, including troubleshooting data load and transformation issues * Perform root cause analysis and coordinate resolution of production incidents * Monitor data jobs, dependencies, and batch schedules Architecture, Standards & Best Practices * Provide design recommendations aligned with long-term IT strategy * Develop and maintain data engineering standards, reusable code frameworks, and best practices * Contribute to enterprise architecture discussions and solution design activities Collaboration & Delivery * Work closely with Scrum teams including architects, developers, QA, and DevOps * Participate in Agile development processes and cross-functional collaboration * Act as a technical mentor and subject matter expert for data engineering practices Documentation & Quality Assurance * Document data pipelines, processes, and implementation details * Ensure testing, validation, and quality assurance practices are followed * Maintain clear and accessible technical documentation for knowledge transfer ## 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) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)