IND Senior Engineer, Data

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities: 

• Develop andoptimize large-scale data pipelines and workflows using Snowflake,Google Cloud, and AWS services to support data integration and storage needs. 

• Lead development of complex ETL processes and SQL-based transformations to support data analysis, reporting, and advanced insights across the organization. 

• Implement and enhance data solutions using AWS services (e.g., S3, EC2, Lambda, Fargate, SQS), andGCPBigQuery, STS,Cloud Functions, andVertex AI for scalable ML and data workflows. 

• Develop advanced Python scripts to automate data processing and integration, includingprompt-driven interactions with generative AI models and autonomous agents. 

• Collaborate with analysts and stakeholders to support data visualization needs in ThoughtSpot and Tableau, designing robust and scalable reporting solutions. 

• Establish data quality standards and perform thorough validation and testing, including validation of AI-generated outputs. 

• Mentor and guide junior and associate data engineers, providing technical direction and promoting best practices in AI-integrated data workflows. 

• Perform code reviews, troubleshoot performance issues, and lead optimization efforts to improve data processing efficiency and scalability. 

• Stay current with emerging technologies in data engineering and AI, includinggenerative AI principles,prompt engineering,knowledge base creation, semantic layer generation,agentic frameworks, andGCP data stack tools. 

Qualifications  

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field 

• 2-4 years of experience in data engineering, with advancedexpertise in Snowflake, SQL, and ETL processes. 

• Strongproficiency in Python for complex data processing, automation, and integration tasks, includingprompt engineering for generative AI workflows. 

• Hands-on experience with AWS services (e.g., S3, EC2, Lambda, Fargate); experience withGCP data tools such asBigQuery,Cloud Functions, andVertex AI is highly desirable. 

• Experience in managing and deploying CICD pipelines across data and cloud platform services using Jenkins, Terraform, Harness and ADK 

• Proficiency with data visualization tools, particularly ThoughtSpot, for supporting scalable and impactful reporting. 

• Experience in Informatica or similar ETL tools, with the ability to lead data integration and transformation efforts. 

• Experience implementinggenerative AI solutions, including model orchestration, output validation, and integration into data workflows. 

• Familiarity withagentic AI frameworks and autonomous data orchestration tools. 

• Strong problem-solving skills with a focus on data quality, accuracy, and efficiency. 

• Excellent communication skills, with the ability to work collaboratively across teams and present technical concepts to non-technical stakeholders. 

• Proven experience mentoring and leading junior team members, with a commitment to fostering a collaborative team environment.

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