Senior Data Engineer

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September 17

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Rithum

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eCommerce • Marketing • AI

Rithum is a comprehensive e-commerce platform designed to empower brands, retailers, and suppliers to effectively launch and scale their businesses. Offering a variety of solutions including multichannel marketing, fulfillment management, and AI-driven supplier discovery, Rithum helps users optimize their online presence and streamline operations across a vast network of marketplaces. With a focus on flexibility and efficiency, Rithum aims to transform commerce by creating profitable and engaging shopping experiences.

501 - 1000 employees

Founded 1997

🛍️ eCommerce

📋 Description

• Design and implement scalable ETL/ELT workflows supporting batch and streaming data using AWS primitives (S3, Kinesis, Glue, Redshift, Athena) • Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance using DBT, Apache Spark, Delta Lake, Airflow, Databricks • Work with Product, BI, and Support teams to assist with data-related technical challenges and support infrastructure needs • Collaborate with cross-functional engineering teams to predict data needs and proactively deliver solutions • Assist in optimization of data lake/lakehouse infrastructure to support AI workloads and large-scale analytics • Ensure data quality, lineage, and observability; develop and enforce data governance, compliance monitoring, and privacy protection • Partner with Data Scientists to optimize pipelines for model training, inference, and continuous learning workflows • Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation • Implement intelligent data lineage tracking to discover relationships between datasets and predict downstream impact • Create AI-assisted data discovery systems with natural language interfaces for dataset discovery and semantics • Participate in on-call rotation as needed • Leverage AI coding assistants to accelerate development, generate complex SQL, and optimize pipeline code • Develop data quality monitoring using anomaly detection and data profiling • Optimize pipeline orchestration with ML for scheduling, resource allocation, and failure recovery • Generate and maintain living documentation that evolves with code changes • Mentor junior engineers and lead tool evaluation and adoption for human-AI collaboration

🎯 Requirements

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines • Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema and foundational data warehousing concepts • Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue • Experience with DBT, Databricks or similar data platform tooling • Experience working with structured and unstructured data and implementing data quality frameworks • Excellent communication and collaboration skills • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar) with understanding of prompt engineering • Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines • Preferred: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • Preferred: Experience in a SaaS or e-commerce environment with AI/ML products • Preferred: Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming • Preferred: Familiarity with LLMOps and AI model deployment patterns in data infrastructure • Preferred: Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization • Preferred: Experience with containerization and orchestration tools like Docker and Kubernetes • Willingness to travel up to 10%

🏖️ Benefits

• Medical coverage provided through Irish Life Health; premiums paid by the company • Life & disability insurance • Pension plan with 5% company match • Competitive time off package: 25 Days of PTO, 11 Company-Paid holidays, 2 Wellness days, 1 Paid Volunteer Day • Access to wellbeing tools such as the Calm App and an Employee Assistance Program • Professional development stipend and learning and development offerings • Charitable contribution match per team member • Remote-first working conditions and work-life balance • Industry-competitive compensation and total rewards benefits