Data Engineer - Unstructured Data at ECS Corporate Services in Fairfax, Virginia

Job Description:

ECS is seeking a Data Engineer - Unstructured Data to work remote.



Job Description:


ECS is seeking a passionate and driven Data Scientist to support DHS' Data Services Branch, under the Office of the Chief Information Officer, that provides innovative and complex data analytics services and platforms to users.


As a Data Engineer, you will be driven by an interest in solving complex business and immigration problems through data exploration and analysis. You must be a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges.


You will be integral to the data operations for development and integration of multiple data types across a range of data sets and sources. You will be responsible for supporting operations and research needed to answer critical questions and direct implication on policy decisions. The candidate we seek has a strong modeling expertise, is highly motivated and enthusiastic about implementing new technologies and serving our customers to their best ability.


Job Responsibilities:

• Contributing to the development of research approaches to complex policy problems;
• Executing of key project tasks (e.g., data collection, data analysis, tool design, and other analytic tasks) within an area of substantive training or experience required by the research project;
• Applying of a broad range of quantitative and/or qualitative research tools, methods, and skills in order to support complex research activities and/or research project management needs;
• Complete development efforts across data pipeline to store, manage, store, and provision to data consumers
• Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices
• Write code to ensure the performance and reliability of data extraction and processing
• Support continuous process automation for data ingest
• Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
• Work with program management and engineers to implement and document complex and evolving requirements
• Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
• Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists

Salary Range: $125,000 - $135,000

General Description of Benefits



Required Skills:

• 
  Must be a US Citizen
  
• 
  Must be able to obtain a Public Trust Clearance
  
• 
  Bachelor's Degree in Management Information Systems, Computer Science, Computer Information Systems, or equivalent Information Technology discipline
  
• 5+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures
• Develop data ingestion frameworks, real-time processing solutions, and data processing/transformation frameworks, leveraging open-source tools.
• Knowledgeable in a breadth of computer languages (Python, etc.) to manipulate data and draw insights from large data sets
• Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
• Experience automating predictive modeling processes that can handle both structured and unstructured data
• Write code to ensure the performance and reliability of data extraction and processing
• Support continuous process automation for data ingest
• Ability to create data pipelines
• Work comfortably in version control systems, such as, Git Repositories.
• Experience working in Agile environment leveraging advanced design and engineering best practices
• Ability to process structured, unstructured and semi-structured data and apply data cleaning, data imputation and feature engineering methods prior to developing models
• Proven experience in an enterprise environment developing relational databases both on-prem and Cloud native databases
• Proven experience developing models for data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required

Desired Skills:

• Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others)
• Experience with DHS and knowledge of DHS standards a plus
• Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions
• Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences
• Ability to develop visualizations utilizing Tableau or PowerBI

ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. ECS promotes affirmative action for minorities, women, disabled persons, and veterans.


ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.


General Description of Benefits



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