Data Engineer - DS11

Company Overview

Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.

Position Overview

Pantheon Data (A Kenific Holding company) has an opening for an experienced Data Engineer.

Responsibilities

• Design, implement, and maintain scalable ETL/ELT pipelines to process structured, semi-structured, and unstructured data.
• Deploy and manage data pipelines and processing workflows on cloud platforms (e.g., AWS, Azure, GCP).
• Optimize data pipelines for performance, scalability, and reliability.
• Monitor data pipelines for errors and ensure data accuracy and consistency.
• Integrate data from various sources, including APIs, databases, flat files, and UI platforms.
• Create efficient schemas for data storage and retrieval.
• Deploy ML models into production environments, ensuring integration with existing data systems.
• Develop and manage logical, physical, and conceptual data models.
• Implement data preprocessing and feature engineering workflows to support ML/AI applications.
• Mentor junior data engineers, provide technical guidance, and review code.
• Collaborate with cross-functional teams, including product managers and designers, to understand requirements and contribute to technical discussions.
• Collaborate with experienced engineers in the design, coding, testing, and maintenance of software applications
• Contributes to the development of software tools, libraries, and frameworks to enhance overall product quality and efficiency.
• Maintain clear and organized documentation of software designs, processes, and development tasks.

Required Skills and Experience

• 5 or more years of relevant work experience in Python, and SQL.
• Hands-on experience building and optimizing data pipelines.
• Strong proficiency in SQL and Python programming languages.
• Solid understanding of data structures, algorithms, and distributed computing.
• Experience designing and implementing ETL and reliable data pipelines.
• Proficiency in scripting languages for automation.
• Proficiency with distributed data processing.
• Hands-on experience with AWS (S3, EMR, Glue, Lambda, Redshift), Azure (Data Factory, Synapse), or GCP (Dataflow, Big Query).
• Bachelor's or master's degree in computer science, Computer Engineering, Electrical Engineering, or a related field.
• Experience in software development, focusing on embedded systems.
• Familiarity with modern cloud technologies and capabilities.
• Good oral and written communication skills.
• Analytical mindset with a focus on solving complex problems.
• Ability to work in agile, fast-paced environments.
• Strong analytical and problem-solving skills.
• Team player with the ability to collaborate effectively within a diverse team.
• Enthusiasm for learning new technologies and tools.
• Detail-oriented with a commitment to producing high-quality software.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders.

Preferred Skills and Experience

• Experience working in a government environment.
• Experience with virtualization technologies (VMWare, Xen, OpenStack, VirtualBox).
• Experience with automation and baselining of artifacts using a DevOps pipeline.

Clearance Requirements

U.S. Citizenship with the ability to obtain and maintain a DoD Secret clearance.

Work Location: United States - Remote

• Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
• If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.
• If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.

Compensation

The salary range for this position is $100,000 - $132,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Benefits Overview

We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/

Pantheon Data Important Information

All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.

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