Senior Data Engineer

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NaNLABS

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🚘 Automotive

💼 Consulting

🔒 Cybersecurity

Automotive • Consulting • Cybersecurity

NaNLABS is a B2B cloud data engineering and AI services firm that builds scalable, secure, real-time data pipelines, data architectures, and machine learning solutions for companies ranging from fast-growing startups to large enterprises. They specialize in cloud-native data engineering, real-time streaming, observability, and AI/ML (including prompt engineering and RAG), and frequently work with clients in EV & Automotive, SaaS, and cybersecurity. NaNLABS integrates closely with client teams to provide ownership, proactive problem-solving, and impact-driven, production-ready solutions.

📋 Description

• Design, build, and productionize robust data pipelines using Python and Airflow • Transform an existing Data Science proof of concept into a reliable, maintainable production solution • Build and maintain data processing workflows, including scheduling, retries, validations, and regression checks • Design efficient PostgreSQL schemas, queries, views, and data access patterns • Build the data access layer using GraphQL and, over time, Hasura • Collaborate with Data Scientists to integrate and operationalize NLP/LLM-based components • Ensure reliable and consistent data delivery on a recurring cadence • Work with AWS-based infrastructure, services, orchestration, storage, and connectivity • Collaborate with SRE and Engineering teams on deployment and production-related needs • Take ownership of technical decisions and independently drive work from requirements to production

🎯 Requirements

• Strong professional experience in Data Engineering • Advanced proficiency in Python, especially for data pipelines and data processing • Hands-on experience with Apache Airflow in production environments • Strong knowledge of PostgreSQL and relational database fundamentals • Experience working with cloud environments, ideally AWS • Basic DevOps knowledge and understanding of infrastructure, deployment, and connectivity concepts • Experience with GraphQL, or a strong foundation to ramp up quickly • Ability to work autonomously, make technical decisions, and take ownership of solutions • Comfortable collaborating with Data Scientists and cross-functional technical teams • Familiarity with AI-assisted coding tools and interest in using them in the development workflow • English level B2 or higher, with effective communication in an international team • Experience with Hasura, cybersecurity data, or data-as-a-product environments is a plus

🏖️ Benefits

• Vacations fully flexible and self-managed • Sick leave and personal days • Public holidays • Paternity and maternity leave • Study leave • Moving days • Training in best practices and tech • Books and light talks • In-house English classes • Continuous feedback • 1:1 career development sessions • Flexible working hours • Equipment and work materials provided • Internal events and team activities • Day off on your birthday • Payment in USD • 100% remote work