Zingtree is the next gen, intelligent process automation platform that reimagines customer experience operations for top Customer Support leaders. With over 500 customers, including global enterprises like Optum, Corpay, Sony, SharkNinja, and Allianz, Zingtree transforms self-service, uncovers and implements automation opportunities, and makes every customer service agent an expert. 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 - We offer fair compensation packages
Equity stock options
Comprehensive health insurance for employees and dependents
Provident Fund contributions in compliance with EPF guidelines
Generous Paid Parental Leave - Paid time off for parents to spend time with their new child
Unlimited PTO - Take the time you need to recharge and bring your best self to work
Flexible Remote Work - Work from anywhere
Home Office Stipend - Receive up to $500 to create a great work environment at home, and $100 a month for Internet, phone, etc.
Co-working Reimbursement - Expense up to $200 a month on co-working space Our Values
Lead with action: We are doers. We move fast with purpose, fearlessly blaze new trails, and fail fast and learn quickly, to achieve positive outcomes for our customers and the business.
People really matter: We win as a team. We care about all humans—our customers and our employees—achieving professional greatness and making a meaningful impact on the world.
Ownership leads to results: When we say we’ll deliver, we deliver. We act responsibly with integrity, high standards, and hold ourselves accountable to the results of our actions.
Expertise creates value: We are learners. We continuously build and share knowledge, invest in growing ourselves, and put expertise into action to fully realize our potential and goals.
Transparency builds trust: We respectfully tell it as it is. We are direct, honest, and open with the information that matters, and communicate in a caring way that builds stronger trusted relationships with each other.
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