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Data Engineer

Company: Logistics Management Institute
Location: Washington
Posted on: August 17, 2019

Job Description:


LMI is currently seeking a Data Engineer within LMI s Advanced Analytics service line to support the design and implementation of business critical data management & engineering solutions. The position will provide data engineering support for a human resources system.

**This position is located at a client site in Washington, DC**


LMI is seeking a broadly skilled Data Engineer, who will prepare data for analytical and /or operational uses within a defined organization, functional, and / or application context. This includes:

* Leading / developing data products within the system / software development life cycle from requirements definition, to architecture, design, implementation, and test, through deployment and operations and support;

* Defining / developing techniques to integrate, consolidate, and structure data for analytical use, to include ability to inform on data aggregation and associated security implications;

* Identifying data migration strategies to transition data from legacy systems and technologies to advanced, enterprise-based solutions;

* Preparing strategic and tactical recommendations with sufficient rationale to advise senior leader decisions relative to the applicability and application of data technologies; and

* Working with customers and colleagues in a team environment to capture requirements.

The ideal candidate will have direct, applied experience with one or more of the following areas:

* Knowledge and experience in overall ETL processes

* Develop data architecture and design products, develop data flow diagrams, data dictionaries, and logical and physical models

* Define data requirements, document data elements, and capture and maintain metadeta

* Develop data structures and systems to support the generation of business insights

* Identify and clean incomplete, incorrect, inaccurate or irrelevant data

* Archive and store data for long-term retention

* Adhere to compliance and audit requirements for data storage, architecture, cybersecurity, etc.

* Apply data standards and best practices while adhering to applicable federal laws, policies, directives, mandates and guidance, to include data protection of sensitive information (e.g. Personal identifiable information (PII) and Protected Health information (PHI)).


* More than 2 years of experience and a MA/MS degree, or more than 4 years of experience and a BS/BA degree.

* Must have at least 2+ years of experience building data pipelines, data modeling, data migration, ETL, and automation

* Experience with requirements generation

* Experience with data warehousing

* Experience with a scripting language, and ability to learn a new scripting language

* Must have knowledge of standard data modeling tools (e.g., ERWin, ER Studio) and SQL.

* Experience with business process engineering, change management, and/or systems engineering is desired.

* Must possess strong written and verbal communication skills.

Preferred Qualifications:

* Master's degree is preferred.

* Experience with Python

* Experience with ESB (Enterprise Service Bus)

* Experience with J2EE or .NET

* Knowledge of HR information systems, federal IT preferred.

* 8 or more years of experience providing data engineering support for IT-based systems.

* Minimal travel, less than 10%.

* Bonus: Experience with NASA s Personnel Data Warehouse and other NASA infrastructure and applications

* Active Secret Clearance preferred.


LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, age, national origin, disability, veteran status, or any other factors protected by applicable law. We welcome applications for employment from qualified disabled veterans, veterans of the Vietnam era, and other covered veterans.

Keywords: Logistics Management Institute, Washington DC , Data Engineer, Engineering , Washington, DC

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