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# Senior Data Engineer

- **Company:** LTM Inc
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $83,912.0 - $113,900.0
- **Contract:** Internship / Graduate position
- **Skills:** Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Apache HTTP Server, Big Data, Cloud Computing, Continuous Integration, Data Governance, Data Transformation, Data Security, Data Stores, Data Systems, Data Warehousing, Database Queries, Distributed Systems, Github, Apache Hive, Identity and Access Management, Subnetting, Python (Programming Language), Routing, Performance Tuning, Query Optimization, Shell Script, SQL Databases, Workflow Management Systems, Data Logging, S3 Bucket, Data Processing, Data Storage Technologies, Data Ingestion, Delivery Pipeline, Apache Spark, Boto3, Amazon Virtual Private Cloud (VPC), AWS ECS, Git, Containerization, Data Lakes, Pyspark, Gitlab-ci, Kubernetes, Apache Flink, AWS Glue, Data Analytics, Apache Kafka, Presto, Software Version Control, Data Pipelines, Amazon Elastic Mapreduce (EMR), Programming Languages
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=49b79f56ab220c49

## About the Role

* AWS Certification Hold at least one AWS certification eg AWS Certified Solutions Architect Associate AWS Certified Data Analytics Specialty AWS Certified Developer Associate
 * AWS Services Expertise Handson experience with key AWS services for data processing and storage including
 * Storage S3 for data lakes EC2
 * Data Processing EMR Glue Athena Lambda
 * Networking VPC Subnets Routing Security Groups
 * Containerization EKS
 * Big Data Processing Strong proficiency in PySpark for developing complex data transformations and analytics
 * Data Lake Table Formats Practical experience with Apache Iceberg for managing and querying data lakes
 * Data Warehousing Indepth knowledge and practical experience with Apache Hive for data storage querying and schema management
 * Programming Languages
 * Python Expert level proficiency in Python for scripting data manipulation and AWS automation Boto3
 * Shell Scripting Proficient in shell scripting for automation and operational tasks
 * Database SQL Strong SQL skills for data querying and manipulation
 * Data Concepts Solid understanding of ETLELT processes data modeling distributed computing and data governance

Good to Have Skills

 * Containerization Orchestration Experience with Kubernetes for deploying and managing containerized applications
 * CICD Experience with CICD tools and practices eg AWS CodePipeline GitHub Actions GitLab CI for automating deployment of data solutions
 * Orchestration Experience with workflow orchestration tools like Apache Airflow
 * Version Control Proficient in using Git for source code management
 * Other Big Data Technologies Exposure to other big data technologies like Apache Kafka Flink or Presto

## Description

* We are seeking a highly skilled and motivated AWS Certified Engineer to design build and optimize scalable data solutions within the Amazon Web Services AWS ecosystem
 * The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts including Hive and modern table formats like Iceberg
 * This role involves developing deploying and managing robust efficient and secure data pipelines and analytics solutions on AWS leveraging core networking and compute services

Core Responsibilities

 * AWS Solution Design Implementation Design develop and deploy scalable and costeffective data solutions on AWS leveraging services such as S3 for data lakes EC2 EMR Glue Athena Lambda Redshift and Kinesis
 * Data Pipeline Development Build and maintain robust ETLELT data pipelines using PySpark for data ingestion transformation and loading into various data stores including those utilizing open table formats like Iceberg
 * Big Data Processing Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue handling large datasets efficiently and integrating with Iceberg table formats
 * Data Warehousing Design implement and manage data warehousing solutions including schema design data modeling and query optimization with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries
 * Cloud Infrastructure Networking Implement secure and robust cloud infrastructure components including VPCs subnets routing and security groups to ensure proper connectivity and isolation for data solutions
 * Containerized Workloads Design deploy and manage containerized data processing applications on Amazon Elastic Kubernetes Service EKSPerformance Tuning Optimization Optimize AWS resources and big data applications Spark Hive Iceberg for performance cost and efficiency
 * Data Governance Security Implement best practices for data security access control and compliance within AWS including IAM policies S3 bucket policies and encryption
 * Monitoring Troubleshooting Set up monitoring ing and logging for data pipelines and AWS infrastructure troubleshoot and resolve issues promptly
 * Automation Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning deployment and operational tasks
 * Collaboration Work closely with data scientists analysts and other engineering teams to understand data requirements and deliver reliable data solutions


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