Data Engineer

Koddi • Fort Worth, TX

5h • Remote

About The Position

Koddi, Inc., is hiring Data Engineers in Fort Worth, TX to develop, implement, test, and operate large-scale, high-performance data structures to support analytics and reporting needs.
Telecommuting permitted from anywhere in the United States. Multiple openings. Full time. Equal Opportunity / Affirmative Action Employer.

Requirements

• Requires a Master’s degree in Computer Science, Computer Engineering, Data Science, or Analytics.
• Requires 24 months of experience in the job offered or closely related technical occupation.
• Requires experience in the following: big data engineering using Hadoop; SQL querying; building multi dimensional reports and dashboards; big data analytics using Spark and Databricks; automating API processes; Iceberg installation and implementations; and working with log data such as Netflow, Cisco, Solarwinds, Palo Alto, and Systempulse.

Responsibilities

• Build and maintain efficient, scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple structured and unstructured sources into a unified data platform.
• Implement data models and architectures using best practices in relational (PostgreSQL), distributed (Databricks/Spark), and NoSQL environments, ensuring data quality, consistency, and accessibility.
• Partner with product, business, and software teams to gather requirements, analyze source data, and deliver solutions that enable data-driven decision-making.
• Design and implement data solutions that scale with growing data volumes and support high-performance querying and analytics.
• Produce and maintain comprehensive dataset documentation, metadata, and technical specifications to ensure transparency and reproducibility.
• Engage in the full development lifecycle, from requirements gathering, design, implementation, and testing, through deployment, documentation, and ongoing support.
• Evaluate proposed data solutions, tools, and platforms to ensure alignment with organizational standards and future scalability.
• Share best practices in data modeling, pipeline development, and performance optimization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level