Data Engineer - Mid level

Role: Mid-Level Data Engineer

Employment Type: Full Time

Location: Remote

Clearance Requirements: Secret Clearance

Position Overview

We are seeking a Mid-Level Data Engineer to support the design, development, and maintenance of scalable data platforms, pipelines, and analytics solutions. This role will be responsible for building and optimizing data workflows that enable reporting, business intelligence, advanced analytics, and AI/ML initiatives across the organization.

The ideal candidate has experience working with modern cloud data architectures, large datasets, and data integration technologies, with a strong focus on data quality, performance, and automation.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes

• Build and optimize data ingestion, transformation, and storage solutions

• Develop and maintain data models that support reporting, analytics, and operational applications

• Integrate data from multiple internal and external systems using APIs, databases, and cloud services

• Implement data quality, validation, and monitoring processes

• Support enterprise data warehouse and data lake initiatives

• Collaborate with data analysts, software developers, business stakeholders, and data scientists to deliver data solutions

• Optimize database and query performance for large-scale datasets

• Support deployment, monitoring, and troubleshooting of production data pipelines

• Create and maintain technical documentation and data lineage artifacts

• Participate in Agile ceremonies and contribute to continuous process improvement
  

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or related field, or equivalent experience

• 5+ years of experience in data engineering, ETL development, or data integration

• Experience building and supporting modern data pipelines and analytics platforms

• Strong proficiency in:

• Python

• SQL

• Experience working with structured and unstructured data

• Experience with data modeling and database design principles

• Experience developing and maintaining APIs and data integrations

• Strong analytical, troubleshooting, and problem-solving skills

• Experience working in Agile development environments

• Secret security clearance required
  

Preferred Qualifications

• Experience with cloud data platforms:

• AWS

• Azure

• Google Cloud Platform (GCP)

• Experience with modern data warehousing solutions

• Familiarity with lakehouse architectures and data lakes

• Experience with Databricks, Apache Spark, and PySpark for large-scale data processing and analytics

• Experience supporting AI, machine learning, or advanced analytics initiatives

• Experience with Infrastructure as Code (IaC)

• Knowledge of data governance, data security, and compliance best practices