Inca Digital, Inc.
Mid/Senior-level GoLang Data Engineer
United States
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Senior
- Country
- US
- Work mode
- Remote-friendly
- First seen by hirly
- 28 Sept 2026
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the posting
About Us: Inca Digital is a veteran-owned data and intelligence company specializing in digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems. Our technology and expertise provide clarity across crypto markets, tracking blockchain transactions, liquidity movements, and illicit finance, helping clients identify risk, enhance transparency, and improve decision-making. Inca’s infrastructure fuses structured and unstructured data from blockchains, exchanges, social networks, and financial markets. The result is a powerful analytics engine that supports ecosystem monitoring, market surveillance, and counter–illicit finance intelligence across digital-asset networks. Inca operates as a fast-paced, nimble, global, and remote technology company. We leverage an asynchronous‑first workflow, try to minimize time spent on meetings, and believe in open debate and logic over authority. Work alongside some of the sharpest minds in the world, including intelligence analysts, defense veterans, data engineers, quant researchers, linguists, and more.
Areas of Work
Design, build, and operate end-to-end batch and incremental ETL/ELT pipelines , turning raw data into production-grade APIs, dashboards, and automated alerts.
High-throughput data acquisition from diverse sources: relational databases, third-party and vendor APIs, flat files, blockchain nodes and indexers , and social and web text at scale.
Develop NLP pipelines working with unstructured and semi-structured text data — entity and claim extraction, classification, deduplication, and enrichment feeding downstream risk models.
Case management, report generation, and intelligence portal supporting data systems.
Partner with the Head of R&D, engineers, data scientists, and our investigations team to translate intelligence requirements into scalable client-facing products.
Contribute to technical design and architecture in a written, argued design process.
Support improving system data quality and system maintenance: versioning, validation, lineage, reconciliation, and freshness monitoring.
What We Require
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
Nice to Have
Experience with Terraform
Experience with Kubernetes
Familiarity with observability tooling and practices
Why join us?
We operate in a fully remote, high-trust environment, and we prioritize impact and delivered results over hours logged.
We offer competitive compensation paired with a comprehensive benefits suite, including medical, dental, vision, and 401(k).
We invest in our people through childcare and wellness stipends and dedicated employee assistance resources.
Join a thought leader at the intersection of national security and digital assets, working with cutting-edge tech that defines the field.
Curious about how we build at Inca Digital? Hear directly from our Head of R&D on how our team builds the infrastructure that powers Inca's intelligence, merging financial, natural language, and blockchain data into custom dashboards and automation tools built around each client's needs.
🎥 Watch on YouTube: Inside Inca | The Engine Behind Inca's Intelligence
Inclusion & Equal Opportunity: As a veteran-owned company, Inca Digital thrives on diverse perspectives, specifically across race, gender, neurodivergence, and veteran status, to solve complex data challenges. We are an Equal Opportunity Employer; all qualified applicants receive consideration without regard to protected status, including disability or national origin.
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