Data Product Engineer
Location
United States
Posted
5 days ago
Salary
$80K - $105K / year
No structured requirement data.
Job Description
- Design, develop and automate custom data processes using workflow tools to create FAIR Health data products.
- Coordinate efforts across multiple teams to optimize and automate data processes.
- Translate business needs into development requirements and data-driven deliverables.
- Debug, investigate and resolve errors that occur within database-stored procedures.
- Create and understand advanced SQL queries to analyze large datasets.
- Work with database technologies, such as Oracle, and statistical analytical tool sets, such as SAS/R, to evaluate datasets and produce result sets.
- Understand and analyze healthcare claims data to identify trends, patterns and other salient information.
- Design and oversee the implementation of data product enhancements and the creation of new data products.
- Create and execute test plans of functional and nonfunctional test cases that verify requirements and validate functionality within the database and application layers.
- Define and execute regression testing of database and application changes.
- Liaise between cross-functional teams (Information Technology, Quality Assurance and business users) in order to assure the complete and accurate execution of requirements gathering, development and testing efforts, the implementation of data product enhancements and the creation of new data products.
- Required
- Master’s degree in computer science, statistics, public health or related field, or equivalent work experience.
- 3-7 years’ professional work experience.
- Self-motivated and intellectually curious with strong analytic and problem-solving skills.
- Ability to conduct research and analysis on large data sets, interpret results and communicate findings.
- Proficient in SQL, PL/SQL or equivalent database query language.
- Experience with Python for the purpose of data processing and analytics.
- Strong interpersonal skills, including the ability to work in a highly cross-functional, multilocation organization.
- Ability to work independently and appropriately self-manage multiple projects simultaneously.
- Excellent written and verbal communication skills.
- Expert proficiency with Microsoft Excel and Word.
- Preferred
- Advanced data mining skills and experience with SAS, R or related statistical software.
- 2+ years’ experience working for a health insurer or healthcare-related organization (including consulting or technology companies) with responsibility for analysis of large healthcare datasets.
- Knowledge of medical claims data, including, but not limited to, professional claims, outpatient claims, inpatient claims, specialty pharmacy and pharmaceutical claims.
- A working knowledge of healthcare coding (CPT, HCPCS, ICD, revenue codes, DRG).
- Familiarity with healthcare fee schedules, including, but not limited to, Medicare, workers’ compensation and Medicaid.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer – Enterprise Data Storage and Consumption Platforms
Capital OneAt Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.
Distinguished Data Engineer driving technical strategy for Capital One
The role involves developing data interactions using SQL, evolving existing data architecture towards modern designs like a data lake, and collaborating with architects to fulfill user stories for web and Government Cloud applications. Responsibilities also include resolving emergent data issues and leading/assisting in the development of data components across the ETL spectrum, focusing on performance and resilience optimization.
The SQL Developer will primarily be responsible for MS SSIS, SSRS, and SSAS development, along with stored procedure, view, and index creation, and SQL Server instance management and performance tuning. Duties also involve working with end users on analytic tools and collaborating with development groups on database schema and maintenance.
We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven da...