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1 to 50 Employees · Cleveland, US
2 open roles0 posted in 7d2 in 30d
Work-life balance 4.7Compensation & benefits 3.7Culture & values 4.7
Hiring: Engineering
What employees say
+ Good company to work with because of the environment
− Amazing Culture and career growth all the time
More reviews on the company profile.
Job description
Hybrid
Overview
Data Engineer – AI-Powered Marketing Personalization Platform
Responsibilities
- Design and implement multi-database systems (MongoDB, Redis, Milvus, Neo4j, BigQuery)
- Build scalable real-time pipelines and ETL/ELT workflows
- Implement data governance, quality, and high-throughput optimization
- Optimize Milvus collections for semantic search
- Design Neo4j schemas for customer journeys and relationships
- Develop hybrid search (vector + graph + text) with performance tuning
- Build data pipelines for LLM fine-tuning and GNN training
- Manage data versioning, lineage, and A/B testing systems
- Implement real-time feature computation for contextual models
- Create BigQuery schemas and real-time dashboards
- Implement observability (Prometheus, Grafana) and anomaly detection
- Optimize data costs across cloud environments
Qualifications
- 5+ years of data engineering experience in production systems
- Advanced Python and SQL expertise
- Proven ability to build high-scale data pipelines (>1M records/day)
- Strong data modeling, validation, and optimization skills
- Graph databases (Neo4j, Neptune) and embedding-based search
- ML/Feature store experience
- Background in marketing technology or CDPs
- Collaborate with ML engineers and data scientists on cutting-edge AI systems
- High ownership and real product impact
- Modern tools and a flexible environment
- Clear growth path to Senior, Lead, or Principal roles
- Shape the future of AI-driven marketing personalization
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Data Engineer at OWOW?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. OWOW may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked hybrid with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Data Engineer role at OWOW?
- This is a mid-level Data Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.