The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.
Zingtree helps high-stakes customer support teams deliver fast, consistent, and compliant answers—every time. Our AI Automation platform enables support-agents and end-consumers to follow complex procedures with ease, resolve issues faster, and ensure customers get the right outcomes in moments that matter. Zingtree helps leading customer support organizations transform self-service, streamline support agent workflows, and deliver exceptional customer experiences.
Zingtree is trusted by over 500 customers including industry leaders like Corpay, Experian, Optum / UnitedHealth Group, Allianz, SharkNinja, Sony, and Groupon to power intelligent automation across finance, healthcare, insurance, consumer services / products, and tech. These organizations rely on Zingtree to reduce handle times, increase FCR, improve CSAT, and stay compliant — all without overloading IT. As demand for governed AI and guided CX grows, we’re scaling our team to help more enterprises take control of their most complex support workflows.
We are seeking a Senior Data Engineer who will design, build, and maintain scalable data processing systems and analytics platforms. In this role, you'll lead our efforts to create robust, in-house data infrastructure solutions to support our growing data needs and business intelligence requirements.
What You'll Do
- Data Architecture & System Design: Design and implement efficient data storage and processing solutions for large-scale datasets; architect a new data processing framework to replace existing third-party solutions.
- Pipeline Development: Develop and optimize data pipelines for event data ingestion and processing; implement real-time analytics capabilities for clickstream data.
- Technology Implementation: Evaluate and integrate open-source technologies like Apache Druid, Spark, or similar tools based on project requirements and performance needs.
- Cross-Team Collaboration: Work closely with backend engineering teams using Go in a Kubernetes environment; participate in architectural decisions for scalable data systems.
- Performance Optimization: Optimize query performance and data access patterns for analytics platforms; ensure systems scale efficiently with growing data volumes.
- Data Modeling: Design and implement data models that support business intelligence needs and facilitate efficient reporting capabilities.
- Documentation & Best Practices: Create comprehensive documentation and establish best practices for data engineering across the organization.
- Technical Leadership: Provide architectural direction for data systems and mentor junior engineers on data engineering best practices.
Who You Are
- Experience: 5+ years in data engineering, with expertise in large-scale systems and data infrastructure design.
- Technical Skills: Strong background in database technologies and SQL optimization; experience designing data warehousing solutions; proficiency in building and optimizing data pipelines; knowledge of distributed computing platforms (Spark, Flink, or similar); experience with columnar databases and OLAP systems (like Apache Druid).
- Infrastructure Knowledge: Experience with cloud infrastructure, particularly AWS; understanding of container orchestration with Kubernetes; familiarity with infrastructure-as-code practices.
- Specialized Expertise: Experience with stream processing and real-time analytics frameworks; knowledge of Go programming a plus; background with event data processing and analytics; familiarity with Kafka or similar message queuing systems.
- Analytical Mindset: Strong problem-solving abilities; experience troubleshooting complex data systems; capacity to evaluate and recommend appropriate technologies for specific use cases.
- Communication Skills: Ability to explain complex technical concepts to various stakeholders; experience collaborating with cross-functional engineering teams.
- Leadership Qualities: Self-motivated with a drive to continuously learn and improve; proactive approach to identifying and addressing technical challenges; experience mentoring junior engineers on data best practices.
- Organizational Abilities: Skills to manage multiple projects and priorities; adaptability to evolving technical requirements and business needs.
What We Offer
- Competitive Compensation with performance-based incentives
- Health, Dental, and Vision Benefits (100% covered for employees)
- Equity Stock Options
- 401K Retirement Plan
- Paid Parental Leave
- Unlimited PTO
- Flexible Remote Work Environment
- $500 Home Office Stipend + Monthly Internet/Phone reimbursement
- Co-Working Reimbursement up to $200/month
Our Values
- Lead with Action – We move fast with purpose.
- People Really Matter – We win as a team and support each other fully.
- Ownership Leads to Results – We take responsibility and deliver.
- Expertise Creates Value – We build and apply knowledge.
- Transparency Builds Trust – We communicate clearly, directly, and with care.
As Zingers, we operate with a mindset that blends urgency, intelligence, and humanity.
#LI-Remote
#LI-EG1
Zingtree Mission
Empowering teams to resolve complex customer issues with confidence, clarity, and control. We believe the future of customer experience belongs to those who can orchestrate outcomes—not just automate tasks.
Zingtree Vision
Creating a world where every customer interaction is accurate, compliant, and effortlessly scalable.
#LI-Remote
#LI-EG1
Top Skills
Apache Druid
AWS
Go
Kafka
Kubernetes
Spark
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