Senior Data Engineer, Event Data

🕒 May 15

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Movable Ink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤝 B2B

☁️ SaaS

🥽 AR/VR

💰 $55M Series D on 2022-04

B2B • SaaS • AR/VR

Movable Ink is a leader in personalized marketing, utilizing AI and automation to deliver tailored content to customers across various touchpoints, such as email and mobile. Their solutions, including the Movable Ink Studio and Da Vinci, empower retail, financial services, media organizations, and travel & hospitality sectors by transforming data into unique customer experiences in real-time. The company collaborates with a vast network of strategic partners, enhancing existing marketing technologies to achieve remarkable revenue and customer engagement. Movable Ink's expertise is endorsed by studies, such as the Forrester Consulting Total Economic Impact™ study, highlighting significant financial benefits for users. Through their innovative use of AI, Movable Ink drives next-level personalization and marketing performance.

📋 Description

• Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform • Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access • Write production Elixir and Python services for event processing, transformation, and routing • Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers • Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance • Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams • Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products • Participate in system design reviews and help establish best practices for the Events Data team

🎯 Requirements

• 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems • Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components • Advanced SQL skills for data modeling, query optimization, and analytical workloads • Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale • Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus • Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures • Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems • Experience designing and operating data systems on AWS; GCP experience is a plus • Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries • Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar • Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

🏖️ Benefits

• full range of medical, financial, and/or other benefits