Mid/Senior-level GoLang Data Engineer

Posted 5 days ago

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design, develop, and manage comprehensive batch and incremental ETL/ELT pipelines.

• Transform raw data into production-ready APIs, dashboards, and automated notifications.

• Gather high-throughput data from relational databases, third-party and vendor APIs, flat files, blockchain nodes and indexers, as well as social and web text on a large scale.

• Create NLP pipelines for unstructured and semi-structured text, encompassing entity and claim extraction, classification, deduplication, and enrichment.

• Assist with case management, report generation, and data systems for intelligence portals.

• Collaborate with the Head of R&D, engineers, data scientists, and investigative teams to convert intelligence requirements into scalable client-facing solutions.

• Contribute to technical design and architecture through a well-structured, argued design process.

• Enhance data quality and system upkeep through versioning, validation, lineage, reconciliation, and freshness monitoring.


⛳️ Requirements

• Over 3 years of professional experience in developing backend services using Golang.

• Strong understanding of Go fundamentals, including concurrency and testing techniques.

• Experience with REST APIs and/or gRPC.

• Proficient in working within AWS environments.

• Familiarity with messaging systems such as Kafka, RabbitMQ, or SQS.

• Experience with SQL databases like PostgreSQL.

• Knowledge of NoSQL databases such as MongoDB, Redis, or DynamoDB.

• Understanding of microservices and distributed system architectures.

• Proficient in using Docker, Git, and CI/CD methodologies.

• Experience with Terraform is a plus.

• Exposure to Kubernetes is a plus.

• Familiarity with observability tools and practices is a plus.


🏝️ Benefits

• Fully remote, high-trust workplace.

• Competitive salary.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• 401(k) retirement plan.

• Childcare stipend.

• Wellness stipend.

• Access to dedicated employee assistance resources.

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