Data Engineer II

This is a fully remote position, open to applicants in United States.

📋 Description

• Contribute to the design, architecture, and implementation of solutions, data standards, and strategies within the team and department.

• Engage in data stewardship workgroups along with data management and governance initiatives.

• Advocate for metadata and data quality practices through knowledge-sharing sessions and lunch-and-learn events.

• Comprehend the business culture and priorities of stakeholders to apply suitable modeling techniques for defining data quality requirements.

• Take ownership of engineering success for data governance initiatives, including metadata/cataloging and data quality programs.

• Conduct research and create glossary definitions, policies, programs, standards, guidelines, and workflows.

• Lead the creation and upkeep of metadata catalogs.

• Identify and evaluate organizational data challenges and support the development of remediation plans.

• Work collaboratively with subject matter experts to establish business rules that measure and ensure data quality.

• Facilitate conversations with end users and data modelers.

• Assess and classify reported data quality issues while developing and presenting program metrics that demonstrate progress and compliance.

• Set daily objectives and manage responsibilities independently, exercising discretion within established procedures.

• Perform additional duties as assigned.

⛳️ Requirements

• A bachelor's degree in Computer Science or a related field, or an equivalent amount of relevant work experience.

• At least three years of experience in designing and developing ETL and/or BI solutions.

• Experience in the definition, design, implementation, testing, and deployment of complex databases, ETL, BI, and analytical solutions.

• Experience in the healthcare payer sector is preferred.

• Demonstrated ability to write complex SQL queries.

• Experience in developing medium to complex data quality profiling or metadata analysis processes with a leading industry tool.

• Capacity to manage multiple medium to large-scale projects effectively.

• Strong understanding of data management and governance principles, particularly concerning data quality and metadata management.

• Familiarity with relational database theory.

• Ability to build effective working relationships with stakeholders at all levels.

• Excellent problem-solving skills and attention to detail.

• Strong written and verbal communication, listening, and critical-thinking abilities.

• Competence in prioritizing and executing tasks both independently and within a collaborative team environment.

• Customer-service oriented approach.

🏝️ Benefits

• Bonus opportunities based on individual and company performance may be available.

• A substantial and comprehensive total rewards package.

• Support for overall employee well-being.