Data Science Engineer
$180k - $200kArena Technical Resources
Data Science Engineer
Location: Springfield, VA, US
Job ID: ATR 18054
Job Description
Job Title: Data Science Engineer
Job Location: Springfield, VA
Compensation: $180,000 - $200,000
Eligibility/Clearance: Candidate must possess an active TS/SCI clearance
and be willing to obtain a CI Polygraph
Job Description:
We are seeking a Data Science Analyst/Engineer to join our Program
working with the Data Engineering Team responsible for integrating new
Data Stores and building the Metadata Application Profile (MAP) that
aligns attributes from various Data Stores into a Search & Retrieval
System, enabling discovery of imagery and data for analysis.
This position focuses on metadata maintenance activities for the
integration of metadata between systems and the associated API to enable
discovery of data across the Enterprise and the Intelligence Community.
Role Overview
- Work closely with the Lead Data Engineer to build and maintain the
MAP, assess metadata quality, plan and coordinate metadata
enhancement and remediation.
- Determine/monitor MAP accuracy by conducting queries against data
holdings in native systems and using the System User Interface (UI),
API, Postgres and Elasticsearch database applications.
- Support Systems Engineers and Software Developers by creating design
documents for new Data Stores which identify the metadata fields,
service specifications, volumetrics and standards needed to
integrate into the Search and Discovery System.
- Maintain an ongoing working relationship with government data
stewards and system Data Store owners to inform end-user
satisfaction and to keep abreast of attribute changes.
- Investigate and respond to tickets/issues associated with metadata
discrepancies or mapping.
Key Responsibilities
- Requirements:At least 5 years of experience with data management,
transformation, visualization, analysis, metadata standards, and
organization techniques and tools.
- At least 5 years of experience with search tools, search results
organization and the implications of metadata organization, indexing
and catalog content.
- Bachelor’s degree in systems Engineering or in related technical or
scientific fields such as engineering, physics, mathematics,
operations research, engineering management, Computer Science,
Information Technology, Business, Management Information Systems, or
related STEM degree program, or an additional 4 years of related
data/systems engineering experience.
MS Degree and 10+ years of relevant experience
Excellent communication, analytical, problem solving, and
organizational skills with the ability to present information and
ideas clearly and concisely.
- Strong technical skills, interest in technology, and the ability to
troubleshoot simple technology problems, failures, or deficiencies.
- Excellent skills with Microsoft office tools (Excel, PowerPoint,
Notepad++)
- Certifications: Security +, Network+, or A+ are preferred. Ability
to obtain one of these certifications within 6 months of start date
if not currently in hand.
- Clearance Required: Active TS/SCI clearance with ability to obtain a
CI Poly
Preferred:
- At least 5 years of experience with customer imagery and data
repositories, products, data types, and uses.
- Knowledge and at least 5 years of experience with GIS-related
applications and tools.
Comfortable with:
Postgres and Elasticsearch (build queries, analyze results)
GitLab (review code, recommend data remediation changes)
Openshift Container Platform (OCP) (approve merge requests)
Working in an Agile Software Development environment
Education:
- Bachelor’s degree in Information Systems, Engineering,
Cybersecurity, or related technical field (or equivalent
experience).
ATR is an Equal Opportunity Employer (EOE) who will provide equal
employment opportunity to employees and applicants for employment
without regard to race, ethnicity, religion, color, sex, pregnancy,
national origin, age, veteran status, ancestry, sexual orientation,
gender identity or expression, marital status, family structure, genetic
information, or mental or physical disability
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