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# Data Engineer III

- **Company:** Epitec, Inc.
- **Location:** Birmingham, AL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Big Data, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Stores, Data Systems, Data Warehousing, Relational Databases, Decision Support Systems, DevOps, Digital Assets, Apache Hadoop, Apache HBase, MongoDB, NoSQL, Systems Integration, Technical Data Management Systems, Apache Spark, Information Technology, Apache Flink, Luigi, Cassandra, Apache Kafka, Spark Streaming, Data Management, Tools for Reporting, Video Streaming, Data Pipelines, Docker, Microservices
- **Published:** August 29, 2026
- **Apply:** https://www.dice.com/job-detail/1d20de24-5ab7-48c7-8f63-7c675a5cbcc0

## About the Role

* Bachelor's degree in Business, Computer Science, Engineering, Information Systems, or a related field
 * 8+ years of data engineering, data management, or analytics experience
 * Experience building and supporting enterprise-scale data solutions
 * Strong experience designing and developing relational data structures
 * Experience integrating and transforming complex data from multiple sources
 * Proven ability to deliver operational and analytics-focused data assets

Preferred Qualifications

 * Financial services or banking industry experience
 * Experience supporting large, highly regulated enterprise environments
 * Background in Big Data Engineering and Advanced Analytics

Technical Skills

 * Apache Spark
 * Hadoop ecosystem technologies
 * Airflow, Argo, Luigi, or similar orchestration tools
 * CI/CD and DevOps practices
 * Docker and Kubernetes
 * NoSQL databases such as MongoDB, Cassandra, or HBase
 * Streaming technologies including Kafka, Flink, or Spark Streaming
 * Data modeling, data warehousing, and data architecture
 * Business intelligence and reporting solutions, * Strong communicator who can work effectively with both technical and non-technical stakeholders
 * Experience delivering scalable data products and data platforms
 * Ability to translate business needs into technical data solutions
 * Comfortable working with senior leadership and driving data-driven decision making
 * Passion for building modern, enterprise-grade data ecosystems

## Description

This role is ideal for someone who enjoys building large-scale data solutions, developing robust data pipelines, and partnering with business and technical stakeholders to turn data into actionable insights.
What You'll Do

 * Design, build, and maintain data platforms and data assets supporting analytics and data product initiatives
 * Develop scalable data pipelines to ingest, transform, and load data in big data environments
 * Build robust, testable solutions using Spark and other modern data engineering technologies
 * Design and implement strategic and tactical data stores for enterprise data consumption
 * Develop frameworks and microservices that deliver data products to internal consumers
 * Partner with Data Scientists, Data Product teams, Data Management, and Engineering teams to deliver high-quality data solutions
 * Ensure data quality, integrity, accessibility, and readiness for business use cases
 * Translate business requirements into scalable data solutions and engineering designs
 * Support automation and continuous improvement of enterprise data products
 * Serve as a trusted advisor to business leaders by identifying opportunities to leverage data for strategic decision-making


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