Data Engineer with Active Secret Clearance or higher (W2) :: Remote

Job Title:- Data Engineer with Active Secret Clearance or higher

Location: 100% Remote

Project Duration: 12+ months

Interview Process: 1 Step = 60 min video

Start Date: Jan 5th or 12th

W2

Top Skills Needed:

AWS Data Bricks | Python | SQL | Spark

Work with Large Data

Build data sets/data populations

Hands on coding, Building/fixing Data Pipelines.

VERY NICE TO HAVE

• Exp with Advana within DOD.

Required:

Active Secret Clearance or higher

• The ideal candidate would have data engineering experience building pipelines in Advana for the DoD.
• Strong Python skills are a must.

Responsibilities:

• Rapidly architect, design, prototype, implement, and optimize software systems to tackle Data Access, Data Management and Data Science needs for a variety of Fortune 1000 corporations and other major organizations; develop modular code to solve "real" world problems following best practices in the industry
• Be a core player in technical process from ideation to delivery: Research, experiment, and utilize leading data platforms and container methodologies to migrate and/or scale cloud data solutions. Build pipelines and scalable analytic tools using leading technologies (for example: Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, Google Cloud Platform, etc.)
• Regularly conduct peer code reviews to ensure code quality provide expert documentation and provide operating guidance for users of all levels. Be a champion for high quality software using TDD and other quality control approaches
• Stay relevant and ahead of the curve on industry needs and technology trends by growing and participating in cross-disciplinary communities. Lead, mentor and teach team members. Participate in developing and presenting thought leadership
• Develop engineering designs impact business performance. Translate between business and technical stakeholders. Leverage technical background to lead technical work and build client relationships
• Help drive the engineering business by pursuing innovation funding, building targeted industry solutions and extendable platforms to expand our technology and solution delivery capabilities

Qualifications:

• 3+ years of experience with programming languages (Python, Scala preferred) with the ability to pick up new languages and technologies quickly; ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level (e.g., automated) data & analytics solutions; understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk, etc.); and experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes). Comfortable working in Unix terminal. Comfortable maintaining production data environment (database migrations, artifact infrastructure and code deployment).
• Bachelor's degree from an accredited college/university or Master's degree from an accredited college/university with 3+ years of experience; or a PhD in Computer Science, Computer Engineering, Engineering or related fields from an accredited college/university
• Architecture and Integration Experience with coding and testing patterns working with existing commercial or open source software platforms; familiarity with different architecture patterns of development (Event Driven, API concepts, cloud managed services, functional programming, Lambda, etc.); capability to architect highly scalable distributed systems using different open source tools.
• Expertise with development tools and team methodologies (Agile, git, test driven development, CI/CD release management)
• Ability to work with other technical team members to assess needs, provide assistance, and resolve technical problems; understand engagement objectives which includes a clear understanding of the client's business problem, and how the engagement helps address the client's business needs.