Remote GoLang Data Engineer for NLP & Data Pipelines

Inca Digital, Inc.

United States

On-site

USD 120,000 - 180,000

Full time

13 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)
Wellness stipends
Childcare stipend
Employee assistance program
Fully remote

Job summary

Inca Digital, Inc. is a veteran-owned data and intelligence company delivering digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems.

We partner with engineers, researchers, and investigators to translate complex intelligence into scalable client-facing products. Our fully remote team operates in an asynchronous-first workflow, emphasizing impact and rigorous logic.

Qualifications

  • 3+ years of professional experience developing backend services with Golang.
  • Good knowledge of Go fundamentals, including concurrency, testing, etc.
  • Experience with REST APIs and/or gRPC.
  • Experience working in AWS environments.
  • Experience with messaging systems such as Kafka/RabbitMQ/SQS/etc.
  • Experience with SQL databases such as PostgreSQL.
  • Experience with NoSQL databases such as MongoDB/Redis/DynamoDB.
  • Familiarity with microservices and distributed systems.
  • Experience with Docker, Git, and CI/CD.

Responsibilities

  • Design, build, and operate backend data services and APIs at scale.
  • Develop and operate ETL/ELT pipelines and data processing workloads.
  • Work with NLP pipelines handling unstructured text and entity extraction.
  • Collaborate with investigations team to translate requirements into products.
  • Contribute to system architecture, design decisions, and code quality.
  • Support data quality, validation, lineage, and monitoring.

Skills

Golang
Go concurrency
REST APIs
gRPC
AWS
Messaging systems
PostgreSQL
MongoDB/Redis/DynamoDB
Microservices
Docker
Git
CI/CD

Tools

Kafka
RabbitMQ
SQS
CI/CD tooling
Terraform
Kubernetes

Job description

Inca Digital, Inc. is a veteran-owned data and intelligence company delivering digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems.

We partner with engineers, researchers, and investigators to translate complex intelligence into scalable client-facing products. Our fully remote team operates in an asynchronous-first workflow, emphasizing impact and rigorous logic.

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