Software Data Engineer

Overview: The Software Data Engineer is responsible for contributing to data analytics, data operations, and software product development across the organization. They will support existing data operations such as data refresh ETL, data structure development, and troubleshooting of data issues. They will be a leader in the development of new products using data centric DevOps concepts and approaches to inform requirements and creation of APIs to support software development.They will work across a variety of products and projects as needed and engage with a variety of data types. This position requires significant independent contributions working closely with the rest of the team.

Duties and Responsibilities:

• Take a collaborative role with the application support team to triage production problems, determine faults and provide fixes in a timely fashion, particularly with high priority items.
• Work with the software engineering team to test and validate application upgrades.
• Work with the infrastructure engineering team to test and validate system patches and production availability.
• Work with Command Center to initiate, manage, and remediate production incidents.
• Liaise with Operations, Networks and Database teams to resolve application issues.
• Help develop new processes and procedures to improve departmental efficiency and evangelize across the team.
• Research customer data related questions and provide mapping between requirements and data points.
• Responsible for customer data releases which includes working with customers, data packaging, validation, and documentation.
• Able to compare, contrast, and validate work with keen attention to detail.
• Develop predictive and other classification methods thorough understanding of healthcare specific data sets such as CMS LDS files, 837 and 835 EDI specifications.
• Develop APIs to allow for interaction with data sets from customer facing tools.
• Perform data updates on a routine basis to keep product data sets current.
• Work and communicate in a cross-functional geographically dispersed team environment comprised of software engineers and product managers.
• Ensure compliance to company procedures when making changes and implementing code.
• Maintain compliance with Inovalon's policies, procedures and mission statement.
• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; and
• Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Employer.

Job Requirements:

• Minimum of 3 years of related professional experience
• Strong ability to develop SQL queries for complex data analysis
• Experience working with Python or other programming languages to develop scripts and APIs
• Experience working with and implementing Commercial Cloud database tools (AWS, Azure, etc.)
• Hands-on experience with Databricks on Azure
• Demonstrates a growth mindset, seeks feedback, and focuses on continuous development
• Ability to learn quickly and independently
• Experience with HIPAA and working with PHI
• Strong communication skills for interacting with internal and external customers
• Excellent proficiency in Microsoft Office (Word, Excel, Outlook)
• Ability to work under pressure, meet deadlines, and handle multiple priorities
• Ability to work independently and complete tasks following standard practices
• Experience working with DevOps tools in a cloud environment
• Experience handling large datasets of varying complexity and formats
• Strong understanding of the context and environment in which data products are developed and used

Education:

• Bachelor's degree in computer science, software engineering, or related field; and
• Databricks Certified Engineer preferred.

Physical Demands and Work Environment:

• Sedentary work (i.e., sitting for long periods of time);
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force;
• Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions;
• Subject to inside environmental conditions; and
• Travel for this position will include less than 10%, typically for training and collaboration purposes.