Senior Data Engineer

Summary

Join Demandbase as a Senior Data Engineer and play a pivotal role in architecting and scaling our data platforms. You will build robust and scalable data pipelines, enabling data-driven decision-making across the company. Working with massive, complex datasets, you will drive data infrastructure and platform evolution to support real-time and batch processing. This role involves not only coding but also influencing data strategy, mentoring junior engineers, and collaborating with cross-functional teams. You will improve core pipelines powering our Identification product and design new processes for our data science team. This is a high-impact individual contributor role requiring deep technical knowledge, strategic thinking, and a bias for action. Demandbase offers a comprehensive benefits package including up to 100% paid premiums for Medical and Vision coverage, mental wellness resources, flexible PTO, 15 paid holidays, No Internal Meetings Fridays, a competitive 401(k) plan, short-term and long-term disability coverage, and life insurance.

Requirements

• Bachelor’s degree in computer science, engineering, mathematics, or related field
• 7+ years of experience in software/data engineering roles, with deep expertise in building and maintaining large-scale distributed data systems
• Scala experience required
• Strong CS fundamentals, including algorithms, data structures, and system design
• Strong background in data modeling, performance tuning, and data integration best practices
• Experience owning end-to-end systems, including production monitoring, incident response, and system reliability engineering
• Proficiency in cloud-native data platforms (e.g., GCP or AWS), including managed services for analytics and orchestration
• Familiarity with real-time data processing, streaming architectures, and event-driven design
• Excellent verbal and written communication skills; comfortable explaining complex concepts to technical and non-technical stakeholders
• A strong sense of ownership, initiative, and accountability
• BS or MS in Computer Science required

Responsibilities

• Design & Architect: Lead the end-to-end design and evolution of scalable, resilient data pipelines and infrastructure, driving architecture decisions that impact the company’s data platform long-term
• Build & Scale: Develop and optimize large-scale data processing workflows (batch and streaming), using Spark and related technologies, ingesting data from diverse internal and external sources
• Mentor & Lead: Provide technical leadership and mentorship to mid- and junior-level engineers. Review design docs, PRs, and contribute to engineering best practices across the team
• Improve Reliability: Build fault-tolerant, observable systems with self-healing and robust monitoring using tools like Airflow, Datadog, or equivalent
• Collaborate: Partner with cross-functional stakeholders in Product, Analytics, and Infrastructure to ensure data architecture aligns with business needs and SLAs
• Own & Operate: Take full lifecycle ownership of key data pipelines and integrations—from design to deployment to production support

Preferred Qualifications

Comfort with purely functional programming is a plus

Benefits

• Up to 100% paid premiums for Medical and Vision coverage
• Range of mental wellness resources, including access to Modern Health
• Flexible PTO policy
• 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving
• No Internal Meetings Fridays
• Competitive 401(k) plan
• Short-term and long-term disability coverage
• Life insurance