Data Science Engineer for Cloud and Big Data Solutions

3 days ago

Washington, Washington, D.C., United States T-Rex Solutions Full time

About the Role:

T-Rex Solutions is seeking an experienced Data Science Engineer to join our team. As a key member of our data science department, you will play a critical role in building and maintaining a secure, monitored, cloud-hosted production laboratory in support of our US Department of Treasury customer.

The laboratory will be used by data science teams to create analytics for insights and AI/ML models for deployment in a high-stakes production environment. Your primary responsibility will be to develop and maintain a data exploration and feature engineering pipeline to enable data readiness for modeling within a secure and compliant infrastructure.

In addition to your technical expertise, you will also be responsible for implementing and managing modern tools for exploratory data analysis, AI design, model development, and training. This includes integrating tools with TCloud Bitbucket for version control and collaboration, as well as configuring AWS S3 buckets for Feature Store, ensuring compliance with IRS UNAX rules and separate security contexts for different teams.

You will also establish and maintain a model development pipeline utilizing MLflow for experiment tracking and model registry, create AWS Lambda functions, and implement AWS Flow for efficient model artifact storage and metadata management. Furthermore, you will integrate with AWS RDS for robust data management and retrieval, configure SNS notifications for model promotion workflows, and support data science teams in adhering to Responsible AI Principles via the implementation of the Responsible AI Toolbox.

About You:

  • You must be a US Citizen with the ability to obtain a Public Trust clearance.
  • You hold a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field and have 7 years of experience.
  • You have proven experience with cloud services, particularly AWS (S3, Lambda, RDS, SNS, etc.).
  • You are an expert in setting up and managing data science environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket.
  • You possess strong proficiency in programming languages and tools such as SQL, Python, R, and Spark.
  • You are familiar with machine learning frameworks and libraries.
  • You have a deep understanding of data security and privacy, especially in compliance with IRS standards.
  • You have experience with CI/CD pipelines and infrastructure as code.
  • You possess excellent communication skills and the ability to collaborate with cross-functional teams.

About T-Rex Solutions:

T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. Our company offers both IT and professional services to numerous Federal agencies and is a leader in providing high-quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.

What We Offer:

  • An annual base salary range of $125,000 - $170,000.
  • A diverse and collaborative work environment.
  • Exciting opportunities for professional growth.
  • Generous benefits, including PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment.

Equal Opportunity Employer:

T-Rex Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.

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