Job Description:

Why This Role is Important to Us
The Data Engineer is a technical expert and architect tasked with designing and maintaining data pipelines and systems for production level data science and analytics. This role works on the data science team to develop machine learning analytics that support decisions for the business and at the clinical point of care. Further, this position must understand existing data and infrastructure to decide whether to use existing data assets as dependencies or develop new data products to be used downstream. This role will not only develop data pipelines for managing large structured and unstructured data but also automate these workflows for continuous delivery. The data engineer will also support and contribute to rapid prototyping and deployment of analytics, model training, and model deployment. This role reports to the Director of Data Science and regularly collaborates with other departments including Business Intelligence, Actuarial, and IT.

Actual Work Location
30 Winter Place, Boston, Massachusetts 02108

All Locations
30 Winter Street

Exempt / Not Exempt
Exempt




What You'll Be Doing
- Track record architecting and implementing data pipelines to support analytics delivery and persistence as data products for downstream use - Expertise using on-demand compute tools in the cloud to efficiently analyze large and complex datasets - Strong project management and organizational skills - Ability to architect and implement technology projects cross-functionally with other departments including IT, BI, Finance, and Security/Privacy - History of creating data tools for analytics and data science teams and productionalizing machine learning and analytics workloads

What We're Looking For

- Proficiency with Talend MDM , Informatica, Linux and bash scripting - Proficiency with distributed systems and data processing - good to have some or all of Spark, Python, and the PyData analytics stack (sklearn, pandas, seaborn, etc.), H2O.ai - Advanced SQL and database management knowledge including working with relational and non-relational databases - Experience building an optimizing "big data" data pipelines, architectures, and datasets - Good to have h AWS cloud services such as EC2, EMR - Experience with data pipeline and workflow management tools such as Airflow, Luigi, etc. - Proficiency conducting non-trivial data transformations on real world messy datasets including building validation and alerts - Passion for working at a healthcare organization - Preference for experience with clinical claims and health record data - Experience building data pipelines in the cloud under the constraints of HIPAA Please note employment with CCA is contingent upon acceptable professional references, a background check (including Mass CORI, employment, education, criminal check, and driving record, (if applicable)), an OIG Report and verification of a valid MA/RN license (if applicable). Commonwealth Care Alliance is an equal opportunity employer. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other category protected by applicable federal, state or local laws. CCA is committed to protecting the health of our workforce and our members, and we encourage flu vaccination in accordance with CDC recommendations. Individuals working in clinical care areas or in direct contact with members must provide documentation of flu vaccination. Flu declination is only permitted if you have a documented medical reason for not receiving the vaccine. If you are unable to receive the flu vaccine you will need to wear a mask during flu season whenever engaged in member-facing activities. We recognize that food allergies can cause serious, life-threatening conditions for people. To keep all our employees safe, CCA's offices are nut-free. If you have questions about the restrictions in the office you applied for, please ask your recruiter. #LI-DB1

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