Remote Data Engineer — Real-Time Ingestion & Pipelines

Talentify; McLean (VA); Remote; USD 140,000 - 190,000; Full time

Job summary

BigBear.ai is seeking Data Engineers to build source adapters and normalization logic translating heterogeneous data into a common risk-signal schema. You will ingest from APIs, feeds, databases, files, and event streams, ensuring reliable ETL/ELT pipelines and near-real-time signal delivery.

This role is remote with potential DMV-area travel; active Top Secret clearance and 8–10 years of data engineering experience or 6–8 with master's, plus strong API, Kafka, SQL/NoSQL skills are required.

Qualifications

• 8–10 years of data engineering experience with 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 and data quality.
• Proficiency in Python or Java for building data services and transformation logic.
• Hands-on experience producing/consuming events in Kafka or equivalent streaming platform.

Responsibilities

• Build source adapters/connectors to ingest data from APIs, legacy systems, databases, and event streams.
• Develop normalization and mapping logic to translate source-specific fields into a common risk-signal schema.

Skills

Data engineering

API integrations

Python/Java

Kafka

SQL/NoSQL

Education

Bachelor's Degree

Master's Degree

Tools

AWS DMS

Graph Database

Job description

BigBear.ai is seeking Data Engineers to build source adapters and normalization logic translating heterogeneous data into a common risk-signal schema. You will ingest from APIs, feeds, databases, files, and event streams, ensuring reliable ETL/ELT pipelines and near-real-time signal delivery.

This role is remote with potential DMV-area travel; active Top Secret clearance and 8–10 years of data engineering experience or 6–8 with master's, plus strong API, Kafka, SQL/NoSQL skills are required.