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Inca Digital

Delivers risk-focused digital asset analytics

Golang Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

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

Responsibilities

  • Design, build, and operate end-to-end batch and incremental ETL/ELT pipelines, turning raw data into production-grade APIs, dashboards, and automated alerts.
  • Acquire high-throughput data from diverse sources, including relational databases, third-party and vendor APIs, flat files, blockchain nodes and indexers, and social and web text at scale.
  • Develop NLP pipelines for unstructured and semi-structured text, including entity and claim extraction, classification, deduplication, and enrichment feeding downstream risk models.
  • Support case management, report generation, and an intelligence portal for data systems.
  • Partner with the Head of R&D, engineers, data scientists, and the investigations team to translate intelligence requirements into scalable client-facing products.
  • Contribute to technical design and architecture through a written, argued design process.
  • Improve system data quality and maintenance through versioning, validation, lineage, reconciliation, and freshness monitoring.

Desired Qualifications

  • Experience with Terraform.
  • Experience with Kubernetes.
  • Familiarity with observability tooling and practices.

About the Company

Inca Digital

Delivers risk-focused digital asset analytics

Inca Digital provides data analytics and risk-focused intelligence for digital assets and banking, turning open-source data from markets, blockchains, social media, and news into actionable insights. Its platform offers real-time trading analytics, on-chain/off-chain analysis, dark web monitoring, and ecosystem mapping to identify entities and risk patterns. The company differentiates itself through veteran leadership, experience with DARPA/SEC/CFTC-aligned work, and a strong focus on compliance and regulatory tech in crypto markets. Its goal is to help government agencies, banks, and crypto firms monitor markets, detect illicit activity, and manage risk using observable, scalable intelligence delivered via APIs, dashboards, and data feeds.

Company size
51-200
Company stage
N/A
Total funding
$30K
Headquarters
Washington DC, United States
Founded
2017

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