Data Engineer III
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