Remote Data Engineer: Elasticsearch & Data Warehouse

Particle41; United States; Remote; USD 11,000 - 21,000; Full time

Job summary

Particle41 is seeking a data infrastructure engineer to design, build, and maintain scalable data pipelines, storage, and search solutions. You will work with Elasticsearch clusters and indexes, and help make information reliable and ready for analysis, across tanks of data across business units.

You will gather requirements from stakeholders, participate in Agile planning, and contribute to testing, documentation, and quality validation of data processing workflows.

Qualifications

• Must have experience designing and maintaining data pipelines and storage infrastructure.
• Experience with Elasticsearch indexing and search performance.
• Skills in data integration, transformation and quality validation.
• Ability to collaborate with stakeholders to clarify requirements and propose technical solutions.
• Familiarity with testing, debugging and Agile software delivery.

Responsibilities

• Design and tune Elasticsearch clusters and indexes for efficient search and retrieval.
• Build and optimize data lakes and warehouses, integrating structured and unstructured sources.
• Validate, cleanse, and transform data to improve accuracy and completeness.
• Gather stakeholder requirements and translate them into technical data solutions.
• Participate in Agile planning and delivery, adapting to changing priorities.
• Test and debug solutions, write unit and integration tests, and document data processes.

Skills

Data pipelines

Data storage infra

Data quality validation

Stakeholder collaboration

Testing and debugging

Agile delivery

Tools

Elasticsearch

Job description

Particle41 is seeking a data infrastructure engineer to design, build, and maintain scalable data pipelines, storage, and search solutions. You will work with Elasticsearch clusters and indexes, and help make information reliable and ready for analysis, across tanks of data across business units.

You will gather requirements from stakeholders, participate in Agile planning, and contribute to testing, documentation, and quality validation of data processing workflows.