Senior Data Engineer

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.


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