Job description
Position Description:
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
Mathematica is seeking a Cloud Data Architect to join the Health Unit’s Analytic Systems and Technology team. You will work in a multidisciplinary setting that includes staff with degrees in computer science, data science, statistics, economics, mathematics, business, public policy, and related fields. We encourage staff to collaborate in developing creative solutions to difficult problems. This collegial spirit has helped us earn our reputation for innovative and high-quality work for our healthcare clients across the federal government, state and local governments, non-profits, and the private sector.
Some examples of recent work completed by this team include:
- As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people. Mathematica’s team reached the second round of the competition, with only six other teams, out of over 300 original entrants.
- As part of a state’s efforts to support citizens with disabilities, Mathematica brought together a variety of data sources, developed specific monitoring measures, and designed a dashboard. The dashboard is designed to show measure results and trends to clearly identify areas of success and opportunities for improvement, and to help the state with decision making.
- Developed and deployed a wide variety of award-winning public facing websites on healthcare topics, using a variety of web technologies. From the community connector application to our wastewater monitoring app to 19 and me and DQ Atlas.
- Developed applications and extract, transform, and load (ETL) processes to support a variety of health policy implementation and monitoring programs. One such program was the Capacity Building for Public Health Analysts in the Overdose Response Strategy, where the team designed, developed, and secured a cloud-based, web application to streamline data collection, management, and reporting for the public health-public safety collaboration to reduce drug overdoses.
We’re looking for team members who want to apply their technical skills to shape an equitable and just world, where evidence drives decisions for global impact in healthcare.
Position Requirements:
Requirements:
At least 5 years of relevant experience demonstrating:
- Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3 Code pipeline, Code build, API Gateway, and SageMaker
- In-depth programming in Python in a professional environment, and using python package management tools like pipenv, conda, or virtualenv.
- Strong SQL and database skills, and working with large structured and unstructured data
- System development lifecycle (SDLC), Agile Development, DevSecOps, and common software development tools such as Git and Jira
- Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.
- A diagramming tool, like Draw.io, Visio, or Lucidchart
- Infrastructure as Code (IaC) technologies such as AWS CloudFormation or Terraform
- Docker, and docker orchestration like Docker Compose or Kubernetes
At least 1 year of relevant experience with:
- Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline
- Tools in the Spark ecosystem, and related tools like Databricks and Azure Synapse Notebooks
Desired Skills:
- Conceptual and practical knowledge of healthcare data (e.g. clinical data, commercial claims, hospital claims, Medicare, Federal Medicaid (T-MSIS, TAF), State Medicaid, HL7-FHIR), healthcare informatics, or healthcare claims processing
- A demonstrated history of working collaboratively with clients to achieve project goals and / or leading technical teams
- Previous experience working or collaborating on Data Analytics or Data Science projects or intiatives
- Google Cloud Platform
- The Serverless Framework
- Commercial data warehouse/ ETL tools such as Snowflake, Talend, Informatica, Apache Airflow, etc.
- Additional programming languages common at Mathematica like R, .NET, Stata, JavaScript, or TypeScript
In accordance with Executive Order 14042 and its implementing guidelines, all Mathematica employees must provide documentation that they have been fully vaccinated or obtain an accommodation through Human Resources by providing documentation from a licensed health care provider that they are unable to be vaccinated against COVID-19 because of a disability (which would include medical conditions) or provide an attestation that they are entitled to an accommodation because of a sincerely held religious belief, practice, or observance.
This position offers an anticipated annual base salary range of $100,000 to $135,000. This position may be eligible for a discretionary bonus based on company and individual performance.
To apply, please submit cover letter, resume, coding sample, location preferences, and salary requirements via our online employment website.
We are not working with staffing agencies to fill this position, and we will not accept unsolicited resumes. Please do not reach out directly to technical staff or leaders within Mathematica, as all questions from agencies go through the Talent Acquisition team.
Available Locations: Washington, DC; Woodlawn, MD; Princeton, NJ; Chicago, IL; Ann Arbor, MI; Oakland, CA; Seattle, WA; Remote
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We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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