Senior Software Engineer (data engineering)
Role details
Job location
Tech stack
Job description
- Design and implement scalable ETL/ELT pipelines to ingest structured and unstructured data from various sources (e.g., APIs, logs, databases, user interactions)
- Ensure data quality, consistency, and availability for bot training and real-time decision-making
- Bot Data Integration:
- Collaborate with bot developers to integrate data sources into conversational AI platforms (e.g., Amazon Lex, Dialogflow, Azure Bot Framework)
- Enable bots to access contextual and personalized data during interactions
- SRE/IT Support:
- Monitor and maintain voice bot systems (e.g., Amazon Lex, Google Dialogflow, Azure Bot Service, Genesys,)
- Troubleshoot issues related to bot performance, voice recognition, call routing, and backend integrations
- Monitoring & Optimization:
- Implement data logging and monitoring systems to track bot performance, user engagement, and data drift
- Optimize data flows for latency, throughput, and cost efficiency
- Collaboration & Governance:
- Work closely with AI/ML, DevOps, and compliance teams to ensure secure and compliant data handling
- Maintain documentation and data lineage for transparency and auditability
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor's degree
- 8+ years of experience in data engineering, preferably in AI environment
- 5+ years of experience in Python, SQL, and data pipeline tools (e.g., Apache Airflow, Spark or Kafka)
- 5+ years of experience with cloud platforms (AWS, GCP or Azure) and data warehousing solutions
Preferred Qualifications:
- Master's degree
- Familiarity with NLP concepts and conversational AI technologies
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.