200+ applicants

Company

Alpha Omega · 7 hours ago

Systems Engineer

Asheville, NC

Full-time

Remote

Mid Level

4+ years exp

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AnalyticsCloud Computing

No H1B

U.S. Citizen Only

Security Clearance Required

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Responsibilities

Demonstrate technical expertise in managing an extensive portfolio of software, web applications, and IT systems related to climate, oceanic, and geophysical data.

Adapt products and holdings to commercial cloud computing platforms while maintaining continuity of operations on legacy infrastructure.

Extract, transform, and load data into computer processing systems.

Code data to prepare for further computer processing and long-term archival storage.

Audit output data to identify and resolve production-related errors.

Ensure accuracy and integrity of processed data.

Maintain and revise procedural lists, control records, and coding schemes to enhance the efficiency of source data processing.

Make NOAA environmental data available in the cloud, improving dissemination and enabling technology transfer from legacy operational systems to cloud-supported systems.

Maintain the availability and integrity of meteorological, climatological, environmental, geospatially referenced data in several electronic formats for use by customers worldwide.

Make NOAA environmental data available on-premises.

Update and maintain enterprise system support (TDS, ERDDAP, Hyrax, etc.) to ensure data and products are available for access and visualization.

Support the transition to cloud technologies (e.g., object storage) from on-premises systems.

Support and maintain document routing software (eNRS) until it can be replaced by a Software as a Service (SaaS) tool.

Support the NESDIS Ecommerce and Online store Software (NES2) until it can be replaced by a NOAA SaaS tool.

Support legacy Apex applications and assist in migrating these applications to a modern and reliable architecture.

Support data manager tools such as NERMS, which aids in the management of digital images and publications in the NCEI archive.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data CollectionUnix/Linux Command LineData ProcessingCloud TechnologiesSoftware Version ControlShell ScriptingRegular ExpressionsData AnalyticsNetworking ConceptsHTML/CSSJavaPythonJupyter NotebookApache NiFiAWS LambdaAWS S3SCPFTPSaaS Tools

Required

Bachelor's degree (BS/BA) in a related area or equivalent practical experience

4 to 6 years of related experience as a Systems Engineer

Experience with data collection, coding, and processing

Experience with Unix/Linux Command Line Interfaces

Familiarity with a variety of concepts, practices, and procedures in the field

Familiarity with electronic data download mechanisms such as FTP, SCP, HTTP(S), and cloud-based object storage (AWS S3, Ceph ) commands: AWS S3, S3 API, Rclone

Familiarity with Linux / Unix based computer systems and use of a variety of shell commands to find and manipulate data

Ability to understand and navigate file systems, directory hierarchy, and the ability to move files between directories and between networked computer systems

An understanding of SSH, SCP, and networking to a level of being able to log onto a network computer or Virtual Machine and transfer files between computer systems on a network

Understanding of TCP/IP and computer addressing, including domain names, IP addresses, and port numbering

Rudimentary shell scripting; the ability to write small scripts to move and manipulate files by name and type

Be able to understand regular expressions and syntax, ability to use expressions for pattern matching in tools like Perl, SED, AWK, and Python

Knowledge of web concepts: html, css, urls, static html, jsp, how to navigate to different web pages and domains

Knowledge of basic web applications and types, where code runs or is rendered in relation to browser or web server

Basic knowledge of data analytics, interpolation, discovering outliers, identifying relationships

Ability to understand workflows, detail process steps, develop algorithms for moving and manipulating data based on stakeholder and subject matter expert input

Understand basic software workflow in promotion from development to testing to production

Knowledge of software version control and tools (GitLab, GitHub) and the ability to work with pipelines, containers, and artifacts in relation to software repositories, versioning, testing, and deployment