Bachelor's degree in Computer Science, Data Engineering, Statistics, or a related field
5+ years of experience in data engineering, analytics, or machine learning development
Proficiency in Python, SQL, and data frameworks (e.g., Apache Spark, Airflow, Kafka)
Experience with cloud data platforms (e.g., AWS, Azure, GCP) and data lakes/warehouses
Familiarity with model development and deployment (e.g., MLflow, TensorFlow, Hugging Face Transformers)
U.S. Citizenship and eligibility for Public Trust clearance
Responsibilities
Design and build scalable, cloud-compatible data pipelines for modernization tasks
Develop ETL solutions for structured and unstructured meteorological data ingestion
Ensure data quality and accessibility through optimization techniques
Organize historical and real-time weather data for advanced analytics purposes
Evaluate and integrate Generative AI technologies to enhance workflows
Identify use cases for operational AI across weather data workflows
Deliver predictive models and visual analytics to support decision-making for the NWS
Benefits
Access to generous medical, dental, and vision plans
Opportunities to work in various sectors and projects for professional variety
Flexible work arrangements, including remote work options to balance personal and professional life
Full Job Description
Job Title: Data and AI Engineer
Company: BLN24
Overview Be part of a transformative digital mission supporting the National Weather Service (NWS) at NOAA. As a Data and AI Engineer, you will help architect and implement advanced data pipelines, scalable analytics frameworks, and intelligent automation capabilities to modernize legacy applications, empower forecasters, and deliver critical insights that protect lives and property. This role directly supports NOAA's multi-phase modernization effort, including the enhancement of the Storm Event Database (SED), optimization of storm reporting systems, and evaluation of Generative Artificial Intelligence (AI) to drive operational efficiency across weather data workflows.
Key Responsibilities: Data Architecture & Engineering
Design and build scalable, cloud-compatible data pipelines to support modernization of the Storm Event Database (SED) and storm reporting applications.
Develop Extract, Transform, Load (ETL) solutions for ingesting structured and unstructured meteorological data.
Ensure data quality, performance, and accessibility through normalization, deduplication, and schema optimization.
Enable advanced analytics by organizing historical and real-time weather event data for use in forecasting, alerting, and impact analysis.
AI/ML Integration & Generative AI Exploration
Evaluate, prototype, and integrate Generative AI technologies (e.g., LLMs, synthetic data, intelligent assistants) to enhance NOAA workflows and software development processes.
Identify and document suitable use cases for AI acceleration in operational settings, such as text generation for weather summaries or developer code assist tools.
Collaborate with DevSecOps and cyber teams to ensure AI systems meet federal guidelines for security, privacy, and ethical use.
Analytics & Insights Development
Partner with NOAA analysts, meteorologists, and engineers to define analytical requirements that support mission outcomes.
Deliver predictive models, trend analyses, and visual dashboards that help NWS better communicate weather phenomena to the public and decision-makers.
Optimize query logic and data warehouse structure to improve accessibility and speed for internal NOAA users and external stakeholders.
Agile Delivery & Collaboration
Participate in Agile sprints to prioritize backlog items, demo technical solutions, and continuously improve delivery outcomes.
Collaborate with Full Stack Developers and Cloud Architects to integrate data services into modernized applications.
Contribute to documentation, testing, and configuration management in alignment with federal DevSecOps standards.
Required Qualifications
Bachelor's degree in Computer Science, Data Engineering, Statistics, or related technical field
5+ years of experience in data engineering, analytics, or machine learning development
Proficiency in Python, SQL, and one or more data frameworks (e.g., Apache Spark, Airflow, Kafka)
Experience working with cloud data platforms (e.g., AWS, Azure, or GCP) and data lakes/warehouses
Familiarity with model development and deployment (e.g., MLflow, TensorFlow, Hugging Face Transformers)
U.S. Citizenship and eligibility for Public Trust clearance
Preferred Qualifications
Experience with federal or scientific data systems (NOAA, NASA, USGS, etc.)
Exposure to Generative AI tools (e.g., OpenAI, Anthropic, Cohere) and prompt engineering techniques
Understanding of federal data security standards (e.g., NIST 800-53, FISMA, FedRAMP)
Experience with dashboarding and visualization tools (e.g., Tableau, Power BI, Dash)
What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
