Note: The job is a remote job and is open to candidates in USA. CareSource is seeking a Data Engineer II to contribute to solution architecture and develop and implement standards and strategies for enterprise data. The role focuses on maintaining data availability and accuracy, delivering data solutions, developing data transformations and workflows, and improving data quality and governance.
Responsibilities
- Support and maintain operational availability and accuracy of enterprise data
- Work within an interdisciplinary group to develop, test, and deliver data solutions to business stakeholders
- Perform analysis and research to support and/or develop data transformation and workflows
- Collaborate with SMEs to develop business rules that measure and assure data quality; facilitating discussions with end users and data modelers
- Lead efforts to quantify and qualify reported data quality issues; develop and report program metrics to demonstrate progress and compliance
- Sets day-to-day objectives and delivers job responsibilities that may vary outside typical norms or practices. Work consists of tasks that are occasionally not routine and often works independently and is required to apply discretion within established operational boundaries and procedures
- Problems and issues faced are occasionally vague, and may need some analysis to understand. Makes adjustments to work methods to solve problems that may not be immediately evident in existing work processes and systems. However, may have references or help from norms and/or standard procedures to solve these problems
- Perform any other job duties as requested
Skills
- Bachelor's degree in Computer Science or related field or equivalent years of relevant work experience is required
- A minimum of three (3) years of experience designing and developing ETL and/or BI solutions is required
- Demonstrable experience in all stages of definition, design, implementation, testing and deployment of complex database, ETL, BI and Analytical solutions is required
- Proven experience in Azure DataBricks, Azure Data Factory
- Proven experience in Python, PySpark
- Proven ability to write complex SQL queries
- Proven ability developing medium to complex data quality profiling or metadata analysis processes with an industry leading tool
- Ability to manage multiple medium to large scale projects while demonstrating a sense of urgency
- Solid understanding of data management and governance concepts, especially data quality and metadata management
- Proven understanding of relational database theory
- Ability to establish effective working relationships with stakeholders at all different levels
- Effective problem-solving skills with attention to detail
- Strong interpersonal skills including excellent written and verbal communication skills; listening and critical thinking
- Ability to effectively prioritize and execute tasks while working both independently and in a team-oriented, collaborative environment
- Customer Service oriented
- General office environment; may be required to sit or stand for extended periods of time
- Healthcare payer experience is preferred
Benefits
- Remote work arrangement
- You may qualify for a bonus tied to company and individual performance.
Company Overview
Company H1B Sponsorship