AI Automations Date Engineer / Data Scientist

RTX • Hartford, CT

54d • Remote

About The Position

As a Data Engineer / Data Scientist at Raytheon Technologies, you will play a critical role in designing, building, and optimizing data solutions that drive business insights, operational efficiency, and technological innovation. You will be responsible for developing and maintaining robust data pipelines, implementing advanced machine learning models, and delivering actionable business intelligence solutions. This role demands a blend of technical expertise and strategic vision, with opportunities to explore emerging technologies, including generative AI, to support RTX's mission to protect and connect the world.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, and 5+ years of experience in data engineering, data science, or a related field.
• Proficiency in Snowflake, Matillion, BI Tools ( Power BI, Tableau, or similar) and Data Science Platforms (Databricks).
• Strong programming skills in Python, SQL, or other relevant languages.
• Hands-on experience in building and deploying machine learning models.
• Strong analytical and problem-solving skills with a business-oriented mindset.

Nice To Haves

• Master’s degree in a relevant field.
• Knowledge or experience with generative AI frameworks and tools (e.g., LLMs, RAG).
• Familiarity with cloud platforms such as Azure or AWS.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• SAFe or similar certifications in agile teams or devops

Responsibilities

• Design and implement scalable, reliable, and efficient end-to-end data pipelines and workflows using tools like Snowflake and Matillion.
• Collaborate with business owners to identify key data needs, align them with RTX objectives, and translate them into actionable technical solutions.
• Evaluate industry trends and emerging technologies, including generative AI, to recommend and implement innovative data strategies.
• Demonstrate expertise in data integration, transformation, and modeling using tools such as Snowflake and Matillion.
• Develop impactful dashboards and reports using Power BI and Tableau to support data-driven decision-making across the organization.
• Leverage Databricks for advanced data processing, machine learning workflows, and big data analytics.
• Build and deploy machine learning models and statistical analyses to address complex business challenges and deliver measurable outcomes.
• Stay current with advancements in AI and ML technologies, including generative AI, to identify opportunities for innovation in RTX’s data landscape.
• Collaborate with cross-functional teams, including architecture and cloud operations, to align data solutions with organizational priorities and policies.
• Maintain governance standards, ensure compliance with RTX data security protocols, and effectively engage with stakeholders to communicate progress and resolve challenges.

Benefits

• Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
• Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees