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# Senior Data Engineer

- **Company:** LTM Inc
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $86,031.0 - $113,900.0
- **Contract:** Internship / Graduate position
- **Skills:** Business Analytics Applications, Unix, Computer Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mart, Data Warehousing, Python (Programming Language), MySQL, Oracle SQL Developer, Performance Tuning, SQL Databases, Data Streaming, Data Processing, Data Ingestion, Lightspeed, Apache Spark, Git, Event Driven Architecture, Data Lakes, Pyspark, Data Management, Artificial Intelligence Markup Language (AIML), Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9a4c14b896ff11bf

## About the Role

We are seeking a highly skilled Senior Data Engineer with min2 years of experience in designing developing and maintaining scalable data platforms and analytics solutions The ideal candidate will have strong expertise in Data Engineering ETL ELT development Apache Spark Databricks SQL Python Data Warehousing Data Modeling Streaming Data Services The role requires building reliable high performance data pipelines that enable business intelligence advanced analytics and AIML initiatives, Data Engineering Data Architecture

ETLELT Pipeline Development

Apache Spark Databricks

Oracle SQL

Data Warehousing Data Modeling

Data Quality Governance

Performance Tuning Optimization

Mandatory Strong expertise in Python and PySpark

Handson with Databricks Delta Lake and Apache Spark SQL

Familiar with CICD Git and Lightspeed

Preferred Qualifications

Bachelors or Masters degree in Computer Science Engineering Data Science or related field

Minimum 2 years relevant experience required Preferred 59 years experience

Good to have Banking domain or Regulatory reporting experience

Skills

Mandatory Skills Apache Spark PySpark Python SQL ETL ELT Data Modeling Databricks Unix
Skills
Mandatory Skills : Apache Spark, ETL / Datawarehouse testing, ETL Concepts, MySQL, Python
Good to Have Skills : Databricks
Other details

## Description

Design develop and optimize ETLELT data pipelines for largescale data processing

Build and maintain data solutions using Apache Spark Databricks SQL and Python

Develop robust batch and realtime data ingestion frameworks

Design and implement enterprise data warehouses data marts and Lakehouse architectures

Create and maintain logical and physical data models to support business requirements

Ensure data quality governance security and compliance across data platforms

Develop streaming data solutions using event driven architectures and realtime processing frameworks

Collaborate with data scientists analysts and business stakeholders to deliver data driven solutions

Monitor troubleshoot and optimize data platform performance and reliability