Bachelor's degree in Computer Science, Data Engineering, Statistics, or related field., At least 5 years of experience in data engineering, analytics, or machine learning development., Proficiency in Python, SQL, and data frameworks like Apache Spark, Airflow, or Kafka., Experience with cloud data platforms such as AWS, Azure, or GCP, and data lakes or warehouses..
Key responsibilities:
Design and build scalable, cloud-compatible data pipelines for weather data modernization.
Develop ETL solutions for meteorological data ingestion and processing.
Evaluate and integrate Generative AI technologies to enhance NOAA workflows.
Collaborate with analysts and engineers to create predictive models and dashboards.
Report This Job
Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
BLN24 executes a different approach to solve communications, technology, data, and security challenges. We solve the governments biggest problems with transparency and honesty. BLN24 focuses on breaking down silos to streamline mission outcomes; removing unnecessary complexity; developing communication and interfaces to better collaborate; optimizing value in investments.
About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.
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.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Required profile
Experience
Level of experience:Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.