Job Summary:
The Data Engineer II is responsible for contributing to team and department solution design architecture, and the development and implementation of appropriate standards and strategies for all sources of data.
Essential Functions:
- 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
Education and Experience:
- 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
- Healthcare payer experience is preferred
Competencies, Knowledge and Skills:
- 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
Working Conditions:
- General office environment; may be required to sit or stand for extended periods of time
Compensation Range:
$72,200.00 - $115,500.00
CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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