AI and Data Science Engineer - Washington D.C. - Active Secret Clearance Required Agile - Software Engineering or Dev Ops

Soc Llc; Washington (District of Columbia); On-site; USD 98,000 - 140,000; Full time

Job summary

SOC is seeking an AI and Data Engineer to work on-site in Washington DC with potential future hybrid arrangements. The role involves designing and delivering modern data platforms, analytics products, and data pipelines that enable mission-focused outcomes for government clients.

You will collaborate with multidisciplinary teams, translate requirements into scalable technical designs, and implement end-to-end data and AI solutions compliant with security requirements.

Qualifications

• Bachelor's degree in CS, Data Science, Engineering, Math, Statistics, or Info Systems.
• 3+ years developing data pipelines, ML models, or AI apps using Python and SQL.
• 1+ year using Git and CI/CD to deploy software.
• Active Secret Security Clearance or higher.
• Must reside within commutable distance to the office and able to commute daily.

Responsibilities

• Design and build data pipelines, ML models, and AI-enabled apps using Python, SQL, and cloud services.
• Translate mission and business requirements into technical designs, data models, and implementation plans.
• Develop, test, deploy, and monitor scalable analytics and AI solutions with MLOps practices.
• Collaborate with product, engineering, analytics, and clients to integrate data and AI into platforms and processes.
• Document architecture, model performance, data lineage, and procedures for governance and sustainment.

Skills

Python

SQL

Git

CI/CD

Communication

Education

Bachelor's degree

Master's degree

Tools

Databricks

Palantir

AWS

Azure

GCP

Job description

AI and Data Engineer needed for a Direct Hire opportunity with SOC's client to work on-site in Washington DC. Potential for hybrid in the future. *Candidates must have an active Secret clearance* Join our client's team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work You'll Do

• Design and build data pipelines, machine-learning models, and AI-enabled applications using Python, Structured Query Language (SQL), and cloud-based services.
• Translate mission and business requirements into technical designs, data models, and implementation plans.
• Develop, test, deploy, and monitor scalable analytics and artificial intelligence solutions using software engineering and machine learning operations practices.
• Collaborate with product, engineering, analytics, and client stakeholders to integrate data and AI capabilities into platforms and business processes.
• Document solution architecture, model performance, data lineage, and operational procedures to support delivery, governance, and sustainment.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

Qualifications

Required:

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems
• 3+ years of experience developing data pipelines, machine-learning models, or artificial intelligence applications using Python and Structured Query Language (SQL).
• 1+ year of experience using Git and continuous integration/continuous delivery pipelines to deploy software, data, or machine-learning solutions.
• Active Secret Security Clearance or higher
• You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations.
• You can expect to co-locate on average up to 5 times a week with variations based on types of work/projects and client locations.
• Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems.
• 1+ year of experience deploying models through managed cloud services on Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• 2+ years of experience using Databricks or Palantir for data engineering or analytics workflows.
• 1+ year of experience with natural language processing, large language models, or generative artificial intelligence.
• 1+ year of experience implementing machine learning operations (MLOps) practices for model monitoring, versioning, and deployment.
• 1+ year of experience delivering data, analytics, or artificial intelligence solutions for federal, state, local government, or public higher education clients.

Employment Prerequisites

The following requirements must be met to be eligible for this position: successful completion of a background investigation and drug urinalysis.

SOC, a Day & Zimmermann company, is an Equal Opportunity Employer, EOE AA M/F/Vet/Disability.

Note: Any pay ranges displayed are estimations, which may have been provided by job boards. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

#INDSOC

Estimated Min Rate: $98000.00

Estimated Max Rate: $140000.00