
Staff Data Engineer - Hybrid
- Hartford, CT
- $125,760-188,640 per year
- Permanent
- Full-time
- Demonstrate self-initiation and ability to learn new technology stacks as per the defined architecture
- Utilize modern cloud ETL tools and Big Data Platforms like Hadoop, etc. to develop complex data assets that support organizational decision making via prototyping, data discovery, profiling, etc…
- Prototype high impact innovations, catering to changing business needs, by leveraging new technologies (AWS – Cloud and Big Data)
- Act as a Subject Matter expert on existing data assets through root cause analysis and resolution of any business/technical questions
- Support the development of training materials and perform end-user training to ensure a high degree of customer engagement
- Act as a technical mentor to junior engineers, promoting best practices in code quality, documentation, and system design
- Support documentation, metadata, and data visualization of the assets
- Participating in the development of the implementation plan as a subject matter expert
- Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, business etc.)
- Research and evaluate alternative solutions and recommend the most efficient and cost-effective solution for the systems design
- Review sprint plan, disaster recovery plans, evaluate system readiness and prepare periodic activity and progress reports for the team
- Extensive experience in programming like JavaScript, Python and PySpark framework.
- Familiar with Object Oriented Design patterns.
- Leverage modern cloud and big data technologies (e.g., AWS, Hadoop) to prototype high-impact solutions aligned with evolving business needs.
- Experience in XML data file processing and generation.
- Hands-on experience on DevOps tools and practices for Continuous Integration and Deployment like GitHub, Jenkins etc.
- Managing data pipelines that ingest and transform survey feedback from VoC platform into Snowflake for downstream analytics.
- Support for multiple unique survey programs with daily monitoring and maintenance.
- Understanding of Net Promoter Score (NPS), OSAT, and other customer satisfaction metrics.
- Familiarity with Medallia’s alert system and close loop performance metrics.
- Hands-on experience with Medallia APIs for customer experience reporting and integration with platforms like Salesforce and internal CRMs.
- Understanding of Medallia dashboard configuration and embedding analytics into internal web tools.
- Knowledge and experience of working on advanced SQL Queries and Unix scripting
- Ability to design, implement, and oversee ETL processes
- Experience working on a Scrum team or other Agile delivery methodology
- Address knowledge silos and cross-skill teams.
- Excellent Troubleshooting Skills and performance tuning of ETL processes
- Experience working on Snowflake data warehouse is nice to have.
- Working knowledge of modeling techniques up to third normal form, and experience in determining when to use them based on actual customer requirements.
- Experience with Voice of Customer tools or similar SaaS platform.
- Experience with real-time data exports from Medallia, including configuration of export jobs and encryption workflows.
- Familiarity with Medallia Digital Experience is a strong plus — including capabilities like session replay, digital behavior analytics, and integration with web and mobile feedback channels.
- Any AWS Cloud certification is a plus