Remote Blockchain Data & NLP Pipelines Engineer

United States Digital Space LLC; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Healthcare stipend

Childcare stipend

Employee assistance resources

Job summary

Inca is a veteran-owned data and intelligence company delivering digital-asset analytics for exchanges, regulators, and financial institutions. The team builds scalable pipelines and dashboards, handling vast data from blockchains, APIs, and text sources to empower risk assessment and decision-making.

We operate fully remote with an asynchronous workflow, prioritizing impact over hours. The role involves evolving end-to-end data platforms and collaborating with researchers and engineers to

Qualifications

• Advanced Python and SQL for production ETL/ELT pipelines.
• Experience building and operating pipelines with orchestration tools (Airflow, Dagster, Prefect, Step Functions).
• Hands-on with PostgreSQL/RDS and object storage (S3).

Responsibilities

• Design, build, and operate ETL/ELT pipelines turning raw data into production APIs, dashboards, and alerts.
• High-throughput data acquisition from relational databases, APIs, files, blockchain nodes, indexers, and social/text at scale.
• NLP/LLM-assisted processing over unstructured text—extraction, classification, deduplication, enrichment for risk models.
• Model and query data across relational, object, and graph stores (Neo4j) choosing the best store for access patterns.
• Ensure provenance, reproducibility, data versioning, and freshness monitoring.

Skills

Advanced Python

SQL

Tools

Airflow

Dagster

Prefect

Step Functions

PostgreSQL

Job description

Inca is a veteran-owned data and intelligence company delivering digital-asset analytics for exchanges, regulators, and financial institutions. The team builds scalable pipelines and dashboards, handling vast data from blockchains, APIs, and text sources to empower risk assessment and decision-making.

We operate fully remote with an asynchronous workflow, prioritizing impact over hours. The role involves evolving end-to-end data platforms and collaborating with researchers and engineers to