Overview
Hybrid
Depends on Experience
Full Time
Skills
Data Engineering
Data Analysis
Amazon Web Services
Apache Spark
Big Data
Cloud Computing
Configuration Management
Cost Reduction
DevOps
Extract
Transform
Load
Microsoft Azure
STIG
Web Scraping
Optimization
Databricks
Job Details
Mid-level Data Engineer
Top Secret Clearance required Federal requirement.
Required Education:
- Bachelor s degree plus 5-7 years experience, or a Masters Degree plus 3 years of experience.
Required Skills/Experience:
- Experience with Big Data systems, including Apache Spark / Databricks
- Experience with ETL processes;
- Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0;
- Applying DoD Security Technical Implementation Guides (STIGs) and automating that process
- Experience with multiple coding languages
Major Duties/Tasks:
- Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements and support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client;
- Maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and the systems and applications that are supported and monitoring the health of the environment through a variety of health tracking capabilities;
- Automate configuration management, leverage tools, and stay current on data extract, transfer, and load (ETL) technologies and services;
- Work under general guidance, demonstrate an initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, right-sizing, and cost reduction to support the overall health of the environment;
- Apply comprehension of data engineering-specific technologies and services, leverage expertise in databases and a variety of approaches to structuring and retrieving of data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically using vendor consoles;
- Engage with multiple functional groups to comprehend client challenges, prototype new ideas and new technologies, help to create solutions to drive the next wave of innovation, and design, implement, schedule, test, and deploy full features and components of solutions
- Maintain an existing collection of web scraping tools used as the initial step of the ETL process
- Identify and implement scalable and efficient coding solutions
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.