Deloitte Full-stack Application Engineer – Miner Suite Product Development Team -- ConvergeHEALTH in Boston, Massachusetts
Full-stack Application Engineer Miner Suite Product Development Team - ConvergeHEALTH
Locations: Boston, MA
About Deloitte Consulting s Platforms Practice
Deloitte Platform (DP) practice, part of Deloitte Consulting LLP, develops technical assets that augment the firm s leading core services, creating hybrid offerings that address our clients most pressing business challenges. Our asset-based consulting strategy is designed to deliver tangible results in the near-term and a sustainable competitive advantage.
Our goal is to build an environment and culture of continuous innovation to drive profitable revenue through the identification and incubation of breakthrough ideas in IP, asset-based businesses, and markets.
Deloitte's commitment to innovation inspires our clients to new possibilities. From innovation labs to fresh, new products and services, we deliver value at every turn. Working with clients, we explore new approaches to critical business issues. To do this, we have created a product development center known as iLab that includes an innovative team of user experience/user interface designers, software architects and engineers, infrastructure and operations staff, testers and developers, sales engineers, product manager and more.
We are looking for people who share our passion for translating ideas into relevant and innovative products to solve business problems.
Full-stack Application Developer for ConvergeHEALTH, Deloitte Consulting
As a full-stack application engineer, you will be aligned to the product development team of the ConvergeHEALTH s Miner platform. ConvergeHEALTH is a part of Deloitte Consulting s Platforms practice, and supports the information-based transformation of healthcare by enabling healthcare and life sciences organizations to answer the hard questions in healthcarewhat works, for whom, why, in what context, and at what cost? ConvergeHEALTH Miner platform helps life science companies support their evidence strategies by providing enterprise data management and analytics capabilities for information generated throughout their evidence lifecycle from translational research to clinical trials to real world evidence (RWE).
You will be working with the rest of product development team to build and enhance the Miner platform and data analytic workflows needed to power insight generation, with a specific focus on developing advanced cloud-based data analytic capabilities and on improving overall platform efficiency and performance.
We expect you to have:
A BA/BS degree in Computer Science, Engineering, Bioinformatics or a related field
2-5 years of hands-on experience developing cloud, enterprise web applications or system integration with a focus on back-end service, API development, data processing and system integration
Proven programming experience in Java and Spring framework
Proven experience leveraging AWS cloud-native technologies, with specific focus on:
Database and analytics services such as RedShift, Glue, S3, Athena, and Lambda functions
Experience with RDBMS and SQL (SQL Server, Postgres, etc.), with an emphasis on data modeling, data transformation, and SQL performance tuning
Programming experience in languages commonly used for data science/statistics, such as Python or R, and cloud-based ML platforms such as SageMaker
Excellent problem identification, analysis and solving skills; an innate ability to utilize all resources at your disposal to find a creative solution to a problem, whether business/functional or technical in nature
A desire to take initiative and continuously work on improving the products you are responsible for
A general interest in relevant emerging technologies and a constant thirst to further your own technical abilities
Experience working in an Agile development environment
Hands-on experience with full suite of software lifecycle tools (Confluence, Jira, Stash, Jenkins, Artifactory, etc.)
The ability to work well independently and as a team player
Excellent conversational and written communication skills
We d love you to have:
Experience with Tableau or other BI/analytics tools, including experience integrating them into custom web applications
Good understanding of Object Oriented Programming (OOP) / Object Oriented Design (OOD), and common enterprise design patterns
Experience with Hadoop stack and HDFS based big data platform, such as Cloudera and Amazon EMR
Experience with the full text search engine such as Elasticsearch
Familiarity with healthcare related data (e.g., EMR, Claims, Genomic) and a general interest in the life sciences and healthcare industry
How You ll Grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. at https://zoomforth.com/s/deloitte/du#home
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you at https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html .
Deloitte s Culture
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to nourish and build a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
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Category: Management Consulting
As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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