Data Engineer

Job Description

Job Description

Data Engineer

Overview

We're looking for a Data Engineer to design, build, and operate scalable data architectures and pipelines that transform diverse structured and unstructured sources into high-quality data repositories. You'll develop robust ETL / ELT processes in AWS, create parsers and extraction logic for complex formats (e.g., PDFs, contracts, procurement documents, budgetary reports), and deliver curated datasets that serve as reliable sources for analytics and AI / ML applications.

Our Company

N2IA Technologies is a consulting company specializing in acquisition / contracting support, cost / FinOps, and technology optimization for federal clients. We deliver tailored strategies, robust software solutions, and streamlined operations to help organizations achieve their goals.

As a growing, remote-first organization, N2IA relies on secure, reliable, and scalable IT operations to support both internal teams and federal mission delivery.

Key Responsibilities

• Design cloud data architectures for ingestion, storage, transformation, and consumption (batch and, where needed, near real-time).
• Build and maintain ETL / ELT pipelines that are reliable, testable, observable, and cost efficient.
• Ingest and integrate data from diverse sources including APIs, relational databases, file drops, event streams, SaaS platforms, and external data providers.
• Work extensively with structured and unstructured data, including normalization, enrichment, and metadata management.
• Develop data parsers and extraction logic for complex unstructured sources such as PDFs, contracts, procurement documents, and budgetary reports; implement validation and error handling for imperfect inputs.
• Implement and optimize data storage patterns (e.g., lake / lakehouse / warehouse), indexing / partitioning strategies, and query performance tuning.
• Build and manage data repositories designed to support AI (feature-ready datasets, document corpora, embeddings-ready stores, retrieval-oriented schemas, lineage and provenance).
• Apply data quality practices (automated checks, anomaly detection, reconciliation, SLAs) and implement governance-friendly patterns (cataloging, RBAC, encryption).
• Partner with stakeholders (product, analytics, data science, engineering) to translate requirements into scalable datasets and interfaces.
• Create and maintain documentation : data models, interfaces, lineage, runbooks, and operational playbooks.

Required Qualifications

S3, IAM, KMS, VPC, CloudWatch

Preferred Qualifications

Certifications (Relevant / Preferred)

Candidates may have one or more of the following (or equivalent) :

Equal Employment Opportunity

N2IA is committed to fostering a diverse and inclusive work environment. We are an Equal Employment Opportunity Employer and encourage applications from all qualified individuals, regardless of gender, race, ethnicity, sexual orientation, disability, or veteran status.