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# Specialist - Data Engineering

- **Company:** LTM Inc
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $90,032.0 - $134,200.0
- **Contract:** Internship / Graduate position
- **Skills:** Big Data, Software Quality, Code Review, Information Engineering, Data Governance, Data Systems, Distributed Systems, Monitoring of Systems, Scrum Methodology, Data Processing, Apache Spark, Reliability of Systems, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=62afb3d666769094

## About the Role

Seeking a Specialist with 5 to 7 years of experience in Scala and Apache Spark to design develop and optimize scalable big data processing solutions within the Hadoop Spark SparkSQL ecosystem

## Description

Design develop and optimize scalable data processing applications using Scala and Apache Spark Collaborate with crossfunctional teams including data scientists analysts and architects to build and maintain robust data pipelines Analyze large and complex datasets to extract actionable insights supporting business objectives Develop highperformance applications in distributed computing environments leveraging SparkSQL Ensure code quality maintainability and adherence to Scala programming best practices Continuously evaluate and integrate emerging big data technologies and tools to enhance platform capabilities Troubleshoot and resolve complex data processing issues to maintain system reliability Document technical designs and implementation details for effective knowledge sharing

Roles and Responsibilities

Lead the development and deployment of big data solutions leveraging Scala Apache Spark and SparkSQL

Collaborate with stakeholders to gather requirements and deliver effective data solutions

Optimize Spark jobs for performance and scalability in production environments

Mentor junior team members and provide technical guidance on best practices

Conduct code reviews to ensure adherence to coding standards and promote continuous improvement

Monitor system performance proactively and address bottlenecks or failures

Participate in sprint planning estimation and agile ceremonies to deliver highquality software

Ensure compliance with data governance and security policies