Job description

From Intake to Outcomes, CareMetx is dedicated to supporting the patient journey by providing hub services, innovative technology, and decision-making data to pharmaceutical, biotechnology, and medical device innovators.
Job Title: Data Engineer
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POSITION SUMMARY:*
At CareMetx, data teams own an outcome - that means teams are both accountable AND empowered for a unit of business value. We create an environment for learning opportunities and believe there is no such thing as “that’s not my job.” Our vision is to generate valuable insights from the data and drive strategic decision-making. All Caremetx data team members have the opportunity to explore new technologies and data trends. That means you will have the opportunity to grow deeper in the skills you’re passionate about and expand your breadth by learning skills that will help the team succeed.

As a Data engineer/analyst/scientist you will constantly deliver business value. You will also function as a catalyst for innovation and new ideas through creative problem-solving, elegant engineering, and the application of new technology and architectural patterns. You will help shape a performance-oriented learning culture by sharing your knowledge and skill depth within the team. Manage large data sets and model complex problems that impact patient outcomes. Discover insights and identify opportunities using statistical, algorithmic, mining, and visualization techniques.
PRIMARY DUTIES AND RESPONSIBILITIES:

• Define and build an industry-standard pipeline and Data Warehouse for a variety of data sources (No SQL, Relational, Text)
• Enhance data collection procedures to include information that is relevant for building analytic systems
• Model front end and backend data sources to help draw a more comprehensive picture of user flows throughout our system and enable powerful data analysis
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Performing ad-hoc analysis and presenting results in a clear manner
• Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
• Reformulating existing frameworks to optimize their functioning.
• Testing such structures to ensure that they are fit for use.
• Preparing raw data for manipulation by data scientists

Qualifications
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EXPERIENCE AND EDUCATIONAL REQUIREMENTS:*

• Degree(s) in Engineering, Computer Science, Math, Statistics, Economics, or related fields

MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS:

• 5+ years of professional experience either in Big Data, Data Engineering, or Business Intelligence. This might include ETL, data warehousing, or data visualization.
• Experience with Talend is preferred
• Experience with API is preferred
• Understanding of CI/CD, data governance, and data quality framework (great expectations) is preferred
• 5+ years of hands-on experience applying principles, best practices, and trade-offs of schema design to various types of database systems: relational (Oracle, MSSQL, Postgres, MySQL), NoSQL (HBase, Cassandra, MongoDB), and in-memory (e.g., VoltDB). Understanding data manipulation principles.
• Deep understanding of NoSQL databases like MongoDB/Dynamo DB.
• Understanding of data flows, data architecture, ETL, Star vs Snowflake schema, and processing of structured and unstructured data
• Minimum 3 years of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala, etc.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee is regularly required to sit
• The employee must occasionally lift and/or move up to 10 pounds.

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Work Environment*
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Schedule
Must be flexible on schedule and hours
CareMetx considers equivalent combinations of experience and education for most jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.
At CareMetx we work hard, we believe in what we do, and we want to be a company that does right by our employees. Our niche industry is an integral player in getting specialty products and devices to the patients who need them by managing reimbursements for those products, identifying alternative funding when insurers do not pay, and providing clinical services.
CareMetx is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

Job Type: Full-time

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