Advana Mid-Level Data Engineer
Falls Church, VA
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Full Time Mid-level / Intermediate Clearance required USD 108K - 201K * est.
Redhorse
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About the OrganizationNow is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
About the RoleRedhorse is seeking a skilled Mid-Level Data Engineer to join our team supporting the Chief Digital and Artificial Intelligence Office (CDAO) within the Department of Defense (DoD). You will play a crucial role in advancing data-driven decision-making by developing and maintaining robust data pipelines, ensuring the secure and efficient flow of information across diverse environments. This is a high-impact position offering significant contributions to national security initiatives and investments.
About the RoleRedhorse is seeking a skilled Mid-Level Data Engineer to join our team supporting the Chief Digital and Artificial Intelligence Office (CDAO) within the Department of Defense (DoD). You will play a crucial role in advancing data-driven decision-making by developing and maintaining robust data pipelines, ensuring the secure and efficient flow of information across diverse environments. This is a high-impact position offering significant contributions to national security initiatives and investments.
Key Responsibilities
- 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 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.
Required Experience/Clearance
- Bachelorās degree plus 3 years of experience, or a Masterās degree plus 3 years of experience.
- Experience with Big Data systems, including Apache Spark/Databricks.
- Experience with ETL processes.
- Experience in the ADVANA Data Environment.
- Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0.
- Experience applying DoD Security Technical Implementation Guides (STIGs) and automating that process.
- Experience with multiple coding languages.
- Active Secret security clearance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
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Category:
Engineering Jobs
Tags: Architecture AWS Azure Big Data Data Analytics Databricks Data pipelines DevOps Engineering ETL Pipelines Security Spark
Region:
North America
Country:
United States
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