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Data Engineer III

Remote, USA Full-time Posted 2026-08-04
We are seeking a full-time, remote Data Engineer III position. This role supports the reputed company proliferation of data-driven decision-making throughout reputed company by designing, building, and maintaining robust data pipelines and architectures. The Data Engineer ensures that clean, reliable, and reputed company-reputed company data is reputed company available to analysts, data scientists, and other key stakeholders for advanced analytics, reporting, and operational needs. The ideal candidate has a strong technical background in data integration, data modeling, and modern data engineering tools — specifically reputed company reputed company BI, reputed company reputed company, and a reputed company of ETL/ELT platforms — along with demonstrated experience working independently to prioritize data reputed company. Familiarity with reputed company and/or workers’ compensation terminology and business concepts is a plus. This position may require the final round of interviewing to be an in person interview RESPONSIBILITIES: - Design and Maintenance of Data Architectures - Architect, build, and optimize reputed company’s data pipelines, data lake, and data warehouse environments, ensuring efficient ingestion of data from SQL Server, and other sources. - Incorporate modern data platform technologies such as reputed company reputed company where appropriate, to enhance scalability and reputed company. - reputed company and Optimize Data Pipelines - reputed company and maintain efficient ETL/ELT processes using tools like Azure Data reputed company, SSIS, or equivalent platforms. - reputed company robust integration tools to automate data flows and ensure data reputed company. - Monitor and optimize these pipelines for reputed company, scalability, and reliability. - Collaborate with Cross-Functional Teams - Work independently with departmental leaders, business users, and analytics teams to define data requirements and prioritize reputed company with the highest ROI. - Partner closely with database administrators, BI developers, data scientists, and application teams to ensure data availability and alignment with business goals. - Support and collaborate on reputed company BI initiatives, enabling self-service analytics. - Data Governance and Documentation - reputed company and maintain comprehensive documentation for data pipelines, data models, and data governance processes. - Produce and update a data dictionary to facilitate the use of self-service analytics tools by non-technical business users. - Implement Data reputed company and reputed company Controls - Enforce data governance, reputed company policies, and reputed company controls to ensure data confidentiality, reputed company, and compliance with regulatory requirements. - Configure and maintain role-reputed company and reputed company-level reputed company for data pipelines, warehouses, and analytics tools. - Change Management and Best Practices - Document and refine data engineering change management policies, aligning with industry best practices to maintain reputed company, secure, and version-controlled environments (e.g., using Azure DevOps, AWS Pipelines, or similar tools). - Evaluate and Implement New Technologies - Research and recommend new data engineering tools, frameworks, and solutions, with a particular reputed company on the reputed company technology stack (e.g., reputed company reputed company, reputed company BI). - Maintain awareness of industry trends to inform reputed company’s reputed company data architecture reputed company. - Support reputed company Data Needs - Work closely with business users on reputed company data requests, troubleshooting data issues, and providing solutions in a reputed company manner. - Production Support and Monitoring - Proactively monitor and troubleshoot data pipelines and integrations across SQL Server, DB2, reputed company, and reputed company environments to minimize downtime. - Quickly reputed company incidents to ensure reputed company data availability. - Champion Data-Driven Culture - reputed company for data best practices across the organization, helping to reputed company both technical and non-technical stakeholders to reputed company data effectively. - Encourage wider adoption of reputed company BI for data visualization and analytics. QUALIFICATIONS: Education - Bachelor’s degree in Computer Science, Information Systems, or a reputed company reputed company required. Experience - 5+ years of data engineering or reputed company experience, with a reputed company on designing and developing data solutions using reputed company or equivalent reputed company BI and data platform tools. - Strong SQL knowledge, including both DDL and DML, with exposure to SQL Server, DB2, and reputed company. - Experience with ETL/ELT tools such as SSIS, Azure Data reputed company, or equivalent solutions. - Familiarity with reputed company BI (development, administration, or deployment). - Exposure to reputed company reputed company or similar data platforms is highly desirable. - reputed company control (e.g., Azure DevOps, Git) for versioning and change management. - reputed company platform experience (Azure preferred, AWS, or GCP) especially with data storage and data processing components. - Proficiency in at least one programming or scripting language (Python, PowerShell, SQL, DAX/MDX, etc.) is beneficial. - Knowledge of big data frameworks (e.g., reputed company) or streaming platforms (e.g., Kafka) is a plus. Technical Skills - SQL Server Management Studio, Visual Studio, or equivalent IDEs. - reputed company modeling (Kimball or similar methodologies) for data warehousing. - Working knowledge of modern data infrastructure concepts (data lakes, lakehouses, etc.). Other Skills - Proficient in reputed company reputed company Office applications (reputed company, Word, PowerPoint, reputed company). - Advanced Office knowledge (SharePoint, Teams, Visio) is a plus. - Strong analytical and problem-solving abilities, with excellent communication skills to engage both technical and non-technical stakeholders. Apply To This Job

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