Remote Data Engineer: Ingest & Normalize Risk Signals

BigBear.ai; North Dakota; On-site; USD 90,000 - 140,000; Full time

Job summary

BigBear.ai is hiring Data Engineers to build and maintain source adapters and normalization logic, translating diverse inputs into a common risk-signal schema for downstream scoring workflows. You will design reliable ingestion pipelines and ensure data quality across APIs, feeds, databases, and streams.

The role is remote but may require travel within the DMV area; an active Top Secret clearance is required and a Bachelor’s degree with significant experience.

Qualifications

• Clearance: Top Secret security clearance required.
• Bachelor's Degree plus 8–10 years experience; Master's plus 6–8 years.
• 3–5 years of data engineering experience building production-grade ingestion and transformation pipelines.
• Strong experience with API integrations and ETL/ELT in complex environments.
• Experience integrating heterogeneous/legacy systems with inconsistent schemas.

Responsibilities

• Build source adapters/connectors to ingest data from APIs, legacy systems, databases, and event streams.
• Develop normalization and mapping logic to translate source fields into a common risk-signal schema.
• Implement ETL/ELT pipelines with testing, observability, error handling, retries, and backfills.
• Produce and consume streaming events (e.g., Kafka) for near-real-time signal delivery.
• Define and maintain data contracts, mappings, and lineage from source to normalized signal.
• Ensure data quality, deduplication, and schema evolution handling.
• Optimize pipeline performance (throughput, latency, reliability).
• Create and maintain technical documentation for adapters and runbooks.
• Travel within the DMV area may be required.

Skills

Security clearance

Data engineering experience

Strong SQL skills

Collaborative

Operational mindset

Education

Bachelor's Degree

Master's Degree

Tools

Python

Java

Kafka

REST API frameworks

SQL

NoSQL databases

Graph Database

AWS DMS

Job description

BigBear.ai is hiring Data Engineers to build and maintain source adapters and normalization logic, translating diverse inputs into a common risk-signal schema for downstream scoring workflows. You will design reliable ingestion pipelines and ensure data quality across APIs, feeds, databases, and streams.

The role is remote but may require travel within the DMV area; an active Top Secret clearance is required and a Bachelor’s degree with significant experience.