CLOSED - 2596 - Data Engineer Engineering - Albuquerque, NM at Geebo

CLOSED - 2596 - Data Engineer

Overview:
As a data engineer, you'll implement data engineering activities on some of the most mission-driven projects in the industry.
You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with and guide a multi-disciplinary team of data analysts/scientists, electrical engineers, test engineers, developers, and data consumers in a fast-paced, agile environment.
You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable data platforms for your clients.
You will be responsible for helping develop and maintain database systems, continually seek opportunity to optimize the organization's data ecosystem, and build custom ETL/ELT workflows as necessary to address critical analytical questions.
REQUIRED QUALIFICATIONS:
2
years of experience creating software for retrieving, parsing, and processing structured and unstructured data 2
years of experience building scalable ETL/ELT workflows for reporting and analytics 2
years of experience designing, developing, operationalizing, and maintaining data applications at enterprise scale Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience creating solutions within a collaborative, cross-functional team environment Experience designing, building, maintaining relational databases Experience with Python and SQL Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms Bachelor's degree Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
Qualifications:
Experience with Python, SQL, Scala, or Java Experience working on sensor data and equipment testing applications Experience with UNIX and Linux, including basic commands and Shell scripting Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data and computing tools Experience with AWS ETL services such as Glue or Lambda Experience with data warehousing and relational database solutions using AWS RDS, AWS Redshift, MySQL Experience with Agile engineering practices Top Secret clearance CLEARANCE:
Secret minimum Recommended Skills Agile Methodology Amazon Redshift Amazon Relational Database Service Amazon Web Services Analytical Classified Information Estimated Salary: $20 to $28 per hour based on qualifications.

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