Senior Data Engineer: Remote Blockchain & NLP Pipelines

Inca Digital

Northern (KY)

Hybrid

USD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Healthcare stipend
Childcare stipend
Employee assistance resources

Job summary

Inca Digital is a veteran-owned data and intelligence company delivering blockchain and market analytics for exchanges, regulators, and financial institutions. We design scalable ETL/ELT pipelines, ingest diverse data sources, and apply NLP/LLM techniques to extract entities and enrich risk models.

You will collaborate across R&D, engineering, and investigations to translate intelligence needs into client-facing products.

Qualifications

  • Advanced Python and SQL are required.
  • Production ETL/ELT pipelines experience with an orchestrator (Airflow, Dagster, Prefect, Step Functions or equivalent).
  • Hands-on with PostgreSQL/RDS and object storage (S3)
  • Experience building/serving APIs (Kong OSS, FastAPI) and dashboards.

Responsibilities

  • Design, build, and operate end-to-end ETL/ELT pipelines.
  • Ingest data from diverse sources and turn it into production-grade APIs, dashboards, and alerts.
  • Perform NLP/LLM-assisted processing over unstructured text and feed risk models.
  • Model and query data across relational, object, and graph stores.
  • Ensure provenance, reproducibility, and data quality across datasets.
  • Collaborate with Head of R&D, engineers, data scientists, and investigations team.

Skills

Python
SQL
ETL/ELT pipelines
Airflow/Dagster/Prefect/Step Functions
PostgreSQL/RDS
APIs (Kong, FastAPI)
Docker
Git & CI/CD
Infrastructure as Code

Tools

Airflow
Dagster
Prefect
Step Functions
Kong OSS
FastAPI
Terraform
CDK

Job description

Inca Digital is a veteran-owned data and intelligence company delivering blockchain and market analytics for exchanges, regulators, and financial institutions. We design scalable ETL/ELT pipelines, ingest diverse data sources, and apply NLP/LLM techniques to extract entities and enrich risk models.

You will collaborate across R&D, engineering, and investigations to translate intelligence needs into client-facing products.

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