Staff Data Platform Engineer - GenAI (REMOTE)

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Job Overview

The Staff Data Platform Engineer - GenAI at The Hartford will play a crucial role in leading the development and enhancement of our data platform with a specific focus on Generative AI. In this position, you will design, implement, and maintain scalable data systems that enable advanced analytics and machine learning initiatives. You will collaborate with cross-functional teams to leverage data as a strategic asset, ensuring robust and innovative solutions to drive business value and support our organizational objectives.

Job Responsibilities

• Lead the design and implementation of data platform architecture specializing in Generative AI.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and provide effective solutions.
• Develop and maintain ETL processes to ensure data integrity and availability for analytics and reporting.
• Utilize big data technologies to build efficient data processing pipelines that can handle large datasets.
• Implement effective data governance practices to enhance data quality and compliance.
• Conduct performance tuning and optimization of data systems for speed and efficiency.
• Stay updated with industry trends and emerging technologies to enhance our data platform capabilities.
• Provide technical leadership and mentorship to junior engineering staff and interns.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• A minimum of 5 years of experience in data engineering or related fields.
• Strong knowledge of data modeling, database design, and data warehousing concepts.
• Expertise in working with big data technologies such as Hadoop, Spark, or equivalent.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with cloud platforms, preferably AWS, Azure, or Google Cloud.
• Familiarity with Generative AI frameworks and algorithms.
• Effective communication and teamwork skills with a proven ability to work in a collaborative environment.

Technologies & Tools

The Staff Data Platform Engineer will work with a diverse set of technologies and tools, including cloud-based platforms (AWS, Azure, or Google Cloud), big data frameworks (such as Apache Hadoop and Apache Spark), data processing and ETL tools (like Apache NiFi or Talend), as well as programming languages including Python, Java, and Scala. Familiarity with AI frameworks such as TensorFlow or PyTorch will also be advantageous.

Ideal Candidates

Ideal candidates for this position are those who possess a passion for data engineering and are adept at creating innovative solutions to complex problems. They demonstrate strong analytical and critical thinking skills, combined with a collaborative mindset that embraces teamwork. An effective communicator who can convey complex technical concepts in an understandable manner will thrive in this role. Furthermore, candidates should be proactive learners, keen to stay up-to-date with advancements in data technologies and their applications in Generative AI.