Location: Arlington, VA
Company: Quadrant
BI, Github, Py Spark, Data Bricks, Palantir, Data Lakes, and Scala Required Experience with Azure Dev Ops, Azure Cloud Services, Machine Learning Required Experience writing custom objective functions for equity scaling in machine learning Familiarity with ensemble modeling Familiarity with ICD9 / 10 diagnosis and procedural codes and CPT procedural codeinteractionperience with REGEXMicrosoft Word, Excel, Power Point, and Outlook.
Strong analytical, problem-solving, facilitation, and communication skills, including written, verbal, and interpersonal. Have outstanding technical, interpersonal, communication, presentation, writing, analytical, problem solving, and information gathering
skills along with fundamental technique troubleshooting abilities. Ability to think about projects holistically to identify next steps and courses of action that will support the clients goals.
Preferred mix of the following : Hypertext Preprocessor (PHP), Statistical Analysis System(SAS)Tableau, Collibra, AWS Cloud Services, Hadoop, Kafka, No SQL databases, including Postgres and Cassandra Data pipeline and workflow management tools: Azkaban, Luigi, and Airflow Cloud services: Elastic Compute Cloud (EC2), Elastic Map Reduce (EMR), Remote Desktop Services (RDS), and Redshift, Storm, Java, C++Bachelors degree in mathematics, statistics, computer science, data science or a field directly
related to the position. preferred A Master's degree in mathematics, statistics, computer science, data science or a field directly related to the position.
DUTIES: Support a variety of projects across a large program. Work off of minimal information and define project scope and goals. Only candidates who have worked with VHA data will be considered for this role. The selected candidate will join a high-functioning team that focuses on cleaning and analyzing data, answering questions, and providing metrics to solve business problems. Develop, test, and maintain data pipelines and architectures, which data scientist teammates will use for analysis. Will do the legwork to help the data scientist team provide accurate metrics.
Our Sr Data Engineer will have an important role on a high-performing team improving healthcare for Veterans. Develop, construct, expand, and optimize data and data pipeline architecture Define data assets to populate data models Design data integration's and data quality framework Design and evaluate open source and vendor tools for data lineage Work closely with all business units and engineering teams to develop strategy for long term data platform architecture Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build appropriate analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics Support software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs Create data tools for analytics and data scientist team members that assist them in building and optimizing products into an innovative environment Plan and conduct data engineering projects and/or studies to evaluate, design, and tabulate statistical sampling plans and analytical procedures and processes.
Responsibilities include detailed problem definition; identification and investigation of key variables or parameters; development and validation of assumptions; formulation of alternatives; development of performance measures of merit; establishment of data collection requirements; selection, adaptation, or development of appropriate analytical methodology; systems analysis or evaluation of alternatives; development of recommendations, and presentation of results or findings in multiple formats, forums, and to audiences of varying degree of technical knowledge and seniority Interface with senior leadership on complex problems and resolves major issues, based on sound data engineering principles and affordable solutions.
Serves as the principal investigator for data engineering requiring a high degree of technical competence to gauge the extent to which the perimeters of the state-of-the-art can be pushed Engage with organizations, Industry and Academia to conduct necessary stakeholder analysis to ensure data engineering projects support IVC and end-user requirements.
Develop and aids in the production of documents, road maps and strategies for data environment and architecture Provide support to the development of requirements documents and program baseline and program recommendations as appropriate Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Write unit/integration tests, contributes to engineering wiki, and documents work Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues Quadrant, Inc.
is an equal opportunity and affirmative action employer. Quadrant is committed to administering all employment and personnel actions on the basis of merit and free of discrimination based on race, color, religion, interaction, interactionual orientation, gender identity, national origin, protected veteran status, or status as an individual with a disability.
Consistent with this commitment, we are dedicated to the employment and advancement of qualified minorities, women, individuals with disabilities, protected veterans, persons of all ethnic backgrounds and religions according to their abilities. PDN-9ac9aade-3a4c-4366-9f37-1ea3942cc71d
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Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
