Data Engineer

ALYTICA is seeking a Data Engineer to support a federal government client in the DC metro area (Note - your work location is REMOTE).   In this assignment, you will be a team member serving the client in advancing the customers use data, metadata, as well as explore new technologies to better meet those needs. 
 
This is a mission that takes some serious smarts, intense curiosity and a background in developing data solutions across the data lifecycle. 
 
Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. As a core member you’ll work with a diverse team of professionals to solution matters, architect nuisances, and come up with alternatives. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. 

Responsibilities include (But Are Not Necessarily Limited To): 

• Design and develop operational data store and master data management data model – Conceptual Data Model, Logical Data Model and Physical data model. 

• Construct and advance data loading capabilities of the system for both online and offline loading and mastering data. 

• Support, with guidance, the analytic and/or operational use of data. 

• Align closely with Enterprise partners in data science, architecture, governance, infrastructure, and security to apply standards and optimize production environments and practices. 

• Collaborate with business owners to optimize data collection, movement, storage, and usage to data process and data quality. 

• Advise consumers on making the best use of the data products for their respective use cases. 

• Convert concepts and ideas into workable prototypes (custom or COTS products) for client reviews and acceptance. 

• Translate business needs into: 

•  data architecture solutions development within supported data systems. 

• data orchestration pipelines (source to target analysis & recommendations), data sourcing, cleansing, augmentation and quality control processes within supported data systems. 

• Prototype, test and integrate new data tools (i.e. data features and functionality) as defined by the product owners and business teams 

• Manage Data Modelers and/or Data Architects to ensure they are developing towards in their roles and meeting deliverables 

 Required Skills

• Strong understanding of CMS environment
• Experience working in agile environment
• Design and develop operational data store and master data management data model – Conceptual Data Model, Logical Data Model and Physical data model.
• Construct and advance data loading capabilities of the system for both online and offline loading and mastering data.
• Support, with guidance, the analytic and/or operational use of data.
• Align closely with Enterprise partners in data science, architecture, governance, infrastructure, and security to apply standards and optimize production environments and practices.
• Collaborate with business owners to optimize data collection, movement, storage, and usage to data process and data quality.
• Advise consumers on making the best use of the data products for their respective use cases.
• Convert concepts and ideas into workable prototypes (custom or COTS products) for client reviews and acceptance.
• Translate business needs into:
  •  data architecture solutions development within supported data systems.
  • data orchestration pipelines (source to target analysis & recommendations), data sourcing, cleansing, augmentation and quality control processes within supported data systems.
  • Prototype, test and integrate new data tools (i.e. data features and functionality) as defined by the product owners and business teams
• Manage Data Modelers and/or Data Architects to ensure they are developing towards in their roles and meeting deliverables
• A strong background writing and executing code in an AWS, SQL in a software development life cycle (SDLC) or code driven environment. Skills in this environment include most if not all of the following
  • Jira and confluence management and configuration
  • Experience unit testing code
  • Jira and Confluence
• Relational database design

• SparxEA
• Neo4j
• AWS CDK and/or other AWS services (or comparable cloud data solutioning tools)
• Experience with Git and CICD pipelines
• Microservices / Containers (Docker, Kubernetes)
• Informatica Intelligent Cloud Services (IICS)

 
About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD., the company is an established 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC. is an Equal Employment Opportunity and Affirmative Action employer. We value diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Last updated on Nov 11, 2024