Senior Data Engineer (Rag) in Niuro

Remote | Senior | Full time | Data Science / Analytics

Gross salary $3000 - 4000 USD/month

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Niuro is a company dedicated to connecting projects with elite technology teams specializing in partnerships with leading U.S. companies. Our mission focuses on simplifying global talent acquisition through innovative and efficient solutions that emphasize maximizing quality and performance. We empower autonomous, high-performance tech teams by offering a collaborative environment enriched with continuous professional growth, training in both technical and soft skills, and leadership development. Through managing all administrative tasks, including hiring, payments, and training, Niuro allows teams to concentrate fully on delivering excellent and innovative outcomes aligned with cutting-edge technology and client needs.

Responsibilities

Design, implement, and maintain scalable, reliable, and efficient data pipelines tailored to Retrieval-Augmented Generation (RAG) based applications, ensuring seamless automation of intelligent query processes.
Configure, manage, and optimize vector databases and advanced search engines to support high-performance embedding and retrieval functionalities.
Collaborate closely with Data Scientists and AI Engineers to deploy embedding models and generative AI solutions, fostering integration across teams.
Develop and fine-tune ETL/ELT processes to guarantee outstanding data quality, pipeline performance, and resilience within production environments.
Ensure system scalability, stability, and operational efficiency to support high-demand data workloads and AI-powered services.

Requirements & Professional Profile

We require candidates with a minimum of 4 to 5 years of experience as a Data Engineer, demonstrating a proven track record managing data-intensive projects and environments. Expertise in Retrieval-Augmented Generation (RAG) methodologies is essential as you will lead innovative data pipeline development.

Technical proficiency must include deep experience with at least one tool or technology from each of the following categories:

Vector Databases: Experience with Pinecone, Milvus, Qdrant, Weaviate, or equivalent solutions to manage embedding data effectively.
Databases: Proficiency in SQL databases such as PostgreSQL and MySQL, plus NoSQL databases including MongoDB and Cassandra.
Data Warehousing: Knowledge of warehouse platforms such as Redshift, BigQuery, or Snowflake to support analytical processing.
ETL/ELT Tools: Skilled in dbt, Apache NiFi, Talend, or Informatica for robust data transformation workflows.
Big Data Frameworks: Experience with Apache Spark and Kafka for handling large-scale data streams.
Search Engines: Familiarity with Elasticsearch, Solr, or OpenSearch to implement advanced search capabilities.
Cloud Platforms: Working knowledge of AWS, Google Cloud Platform, or Azure for scalable cloud infrastructure.
Containers: Proficient with Docker to containerize and deploy applications reliably.
Programming: Advanced skills in Python for scripting, automation, and integration.

Strong analytical aptitude and problem-solving capabilities are vital to address complex data challenges. We seek candidates who thrive in agile, cross-functional teams and possess excellent communication and collaboration skills to work effectively across different roles and disciplines.

Nice-to-have Skills

Experience with machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn to support advanced model deployment.
Familiarity with natural language processing tools such as spaCy, NLTK, and Hugging Face Transformers to enhance text and language-related functionalities.
Knowledge of generative AI models like OpenAI, Azure GPT, and Amazon Bedrock is beneficial for working on cutting-edge AI augmentation projects.
Competence in container orchestration using Kubernetes to manage containerized applications at scale.

What We Offer

🌍 100% Remote – Embrace full flexibility by working from anywhere around the world, enabling an optimal work-life balance.
📈 Career Growth – Become part of a tech-forward, innovative, and collaborative team committed to your ongoing professional development and success.
📝 Full-time employment contract with an initial 3-month trial period followed by an indefinite contract, ensuring job stability and continuous collaboration.

Fully remote You can work from anywhere in the world.

Informal dress code No dress code is enforced.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

About Niuro

Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. — Niuro's full profile