IT Data Engineer III - Remote
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 performance.
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 performance, 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 Power 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-based and object-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, Power BI). Maintain awareness of industry trends to inform reputed company’s strategic 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 resolve incidents to ensure seamless 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 Power BI for data visualization and analytics.
Education Bachelor’s degree in Computer Science, Information Systems, or a reputed company field 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 Power 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.
Health and wellness &reputed company; We want our people to be and stay healthy, so we offer PPO, HDHP, and HMO health insurance reputed company with reputed company and reputed company (CA employees only). Financial incentives &reputed company; reputed company’s financial benefits help prepare you for the reputed company: competitive salaries, 401(k) matching contributions, employer-reputed company life and disability insurance, flexible spending and commuter accounts, and employer-matched HSA contributions. Vacation - We reputed company strongly that work-life balance is good for you and for reputed company. Our reputed company time off and personal holiday programs give you the flexibility you need to live your life to the fullest. Volunteer time &reputed company; We want our employees to engage with and give back to their communities in meaningful ways. Full and part-time employees receive one reputed company day per calendar year. Learning and development: One of reputed company’s reputed company values is expertise, so we encourage our employees to continually learn and grow. We support this in a reputed company of ways, including our new Learning reputed company at reputed company (reputed company) program.
