Data Engineer - AI/ML (Remote)

Date Posted: 2024-06-03

Country: United States of America

Location: HCT99: Field Office - CT Remote Location, Remote City, CT, 06101 USA

Position Role Type: Remote

Join Collins Aerospace as a Data Engineer - AI/ML (Remote)

Are you passionate about working with data and leveraging the latest technologies? If this excites you, read on!

We are seeking a highly skilled and motivated Data Engineer to join our Data & Analytics team at Collins Aerospace. In this position, you'll design, develop, and maintain data pipelines and infrastructure using cutting-edge technologies. Collaborate with cross-functional teams to evolve our data platform and capabilities.

Note: This role can be performed at any Collins domestic location or remotely.

Responsibilities:

• Design, build, and optimize data pipelines for ingesting data from various sources (e.g., databases, APIs, streaming platforms).
• Deploy and manage data solutions on cloud platforms (e.g., AWS, Azure, Databricks).
• Develop real-time data processing solutions with sensor data, telemetry streams, and IoT devices (e.g., Apache Kafka, Amazon Kinesis, Azure Event Hubs).
• Support data ingestion, text extraction, chunking, and vector embedding tasks, collaborating closely with AI/ML Engineers.
• Develop in Python and SQL, utilizing relevant IDEs for coding, debugging, and testing applications (e.g., PyCharm, Jupyter Notebooks, Visual Studio Code).

What You Will Learn:

• Build global relationships with your Digital Technology peers at Collins Aerospace.
• Grow as a Data Engineer while helping the company achieve its goals and advancing your career.

Education & Experience:

Typically requires a University Degree and a minimum of 8 years of relevant experience, or an Advanced Degree with a minimum of 5 years of experience. In the absence of a degree, 12 years of relevant experience is required.

Qualifications:

• Must be a US Citizen or a US Green card holder.
• 5+ years of experience in a data engineering role, with proficiency in data pipeline design, implementation, and optimization.
• Experience with large-scale datasets, complex data architectures, and unstructured data.
• Proficiency in relational and NoSQL databases (e.g., PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra, DynamoDB).
• Strong programming skills in Python and experience with relevant libraries (e.g., Pandas, NumPy, SQLAlchemy, Haystack, LangChain).
• Hands-on experience with cloud platforms such as AWS and Microsoft Azure.
• Understanding of cloud-based data lake and data warehousing solutions (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
• Knowledge of cloud engineering, DevOps, or infrastructure capabilities (e.g., AWS Cloud Formation, SAM, Azure Resource Manager).
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Experience with cloud migration, deployment, and optimization.
• Strong understanding of agile methodologies and experience in a cross-functional agile team.

About Collins Aerospace:

Collins Aerospace, a Raytheon Technologies company, is a leader in advanced and intelligent solutions for the global aerospace and defense industry. We have the capabilities, comprehensive portfolio, and expertise to address our customers’ toughest challenges and the demands of a rapidly evolving global market.

Collins Aerospace Diversity & Inclusion Statement:

Diversity drives innovation; inclusion drives success. We value diverse approaches and ideas to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas to tackle the toughest challenges in our industry and pave new paths to limitless possibilities.

Role Types:

Remote: Employees working in remote roles will primarily work offsite (from home). Some travel to the site location may be expected if you live within a reasonable commute to a Collins site.

Collaboration and innovation are crucial to our business, and employees will have access