Data Engineer

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• Analyze, develop, combine raw information, and maintain various data sources.
• Identify opportunities to improve data quality while building data systems and pipelines.
• Understand basic ETL concepts to prepare both structured and unstructured data for predictive and prescriptive modeling.
• Follow enterprise project life cycle and prepare for integration and user acceptance testing.
• Take accountability and responsibility of assigned work, maintaining communication with the team.
• Curiosity with identifying opportunities for data acquisition and understanding of data domain knowledge.
• Collaborate with Business Intelligence (BI) ETL Developers/Data Architect, Data Scientists, Reporting Analysts, and Subject Matter Experts (SME) to understand business goals.
• Produce technical documentation by following enterprise standards and guidelines.
• Participate in relevant information‑sharing activities.
• Serve as escalation point for application support and troubleshooting.
• Proactively identify issues and opportunities that will impact business use of data/reports and ensure managerial awareness.
• Daily review outstanding issues to assure troubleshooting and resolutions are current.
• Ensure all changes comply with change‑management policies and procedures.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

• Major:
  Computer Science or Computer Engineering.
• Degree must be from an accredited college or university.

• Customarily has at least one year of understanding and working knowledge in software development, data‑centric or model‑centric pipelines.
• Competent with relational database concepts.
• Documentation and publication experience.

• Core competencies of service mentality, attention to detail, sense of urgency, initiative and flexibility.
• Ability to make decisions or solve problems using logic to identify key facts, explore alternatives, and propose quality solutions.
• Outstanding customer‑service skills and the ability to deal with people in a manner that shows tact and professionalism.
• Ability to handle sensitive and confidential information (including HIPAA and PHI) in accordance with federal and state laws and company policies.
• The hiring process requires passing a full technical assessment and interview completed onsite.
• Ability to write SQL queries, develop and tune performance.
• Develop skills for appropriate use of technology at various levels of development and project.
• Learn and familiarize with tools such as SQL Server, SSIS, Python, Azure, Docker, Git, and Visual Studio.
• Azure experience is preferred with working knowledge of Azure Data Factory, Azure Web Application, and Azure ML platforms.
• Ability to understand and interact with cloud technologies such as Azure, AWS, and/or GCP is preferred.
• Understand data‑management processes and work with cross‑functional teams.
• Support current and future initiatives of application development.
• Participate in peer review of code and maintain repositories.
• Highly organized.
• Communication skills to speak and write in a clear and professional manner.
• Skilled at listening and providing feedback.

Entry level

Full‑time

Information Technology