Mid-Level Data Engineer

5 Months ago • 3-7 Years

Job Summary

Job Description

As a Mid-Level Data Engineer at Redhorse Corporation, you will be crucial in developing and maintaining data pipelines to ensure secure and efficient information flow for the Department of Defense (DoD). This role involves supporting data ingestion, maintaining data transfers, automating configuration management, and identifying areas for optimization. You will collaborate with different groups to create innovative solutions, manage web scraping tools, and implement efficient coding solutions. This high-impact position contributes significantly to national security initiatives. You will work on Big Data systems, ETL processes, cloud platforms, and applying DoD Security Technical Implementation Guides (STIGs).
Must have:
  • Experience with Big Data systems including Apache Spark.
  • Experience with ETL processes.
  • Experience with Amazon Web Services (AWS).
  • Experience applying DoD Security Technical Implementation Guides (STIGs).
  • Experience with multiple coding languages.
  • Active Top Secret (TS) security clearance with SCI eligibility.

Job Details

About the Organization
Now 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 Role
Redhorse 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.

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

    • Bachelor’s degree plus 5-7 years of experience, or a Master’s degree plus 3 years of 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.
    • Experience applying DoD Security Technical Implementation Guides (STIGs) and automating that process.
    • Experience with multiple coding languages.
    • Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
Equal Opportunity Employer/Veterans/Disabled 
 
Accommodations:
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
 
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

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