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# Senior Data Engineer

- **Company:** T Prods Solutions INC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $132,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Cloud Database, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Dimensional Modeling, Apache Hadoop, Apache Hive, Unix Shell, Microsoft SQL Server, SQL Azure, Oracle (Applications), Cloud Services, Azure Data Lake, Shell Script, Software Engineering, SQL Databases, Data Streaming, Systems Integration, Talend, Unstructured Data, Scripting, Freeform SQL, System Availability, Apache Spark, Vba Programming Language, Data Analytics, Integration Frameworks, Data Management, Dynamic Data, Restful APIs, Looker Analytics, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=472e078ffbc1788b

## About the Role

* Proven experience in software development with a strong focus on data engineering within big data environments.
 * Extensive knowledge of cloud platforms such as AWS (Amazon Web Services), Azure Data Lake, or similar public cloud services.
 * Proficiency in programming languages including Java and Python for data pipeline development and automation.
 * Hands-on experience with big data technologies such as Hadoop, Spark, Apache Hive, and related ecosystems.
 * Strong understanding of data management integration techniques including ETL processes using tools like Informatica or Talend.
 * Expertise in designing scalable data models using dimensional modeling principles for enterprise data warehouses.
 * Familiarity with business intelligence tools such as Looker for creating dashboards and reports.
 * Solid understanding of SQL databases including Microsoft SQL Server, Oracle, and cloud-based database solutions like Azure SQL Database or similar.
 * Knowledge of RESTful API development for integrating diverse systems efficiently.
 * Experience with analytics techniques including model training and exploratory analysis to derive insights from complex datasets.
 * Excellent problem-solving skills combined with the ability to communicate technical concepts clearly across teams.
 * Ability to work in an Agile environment with a proactive approach to continuous improvement.

## Description

We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic data team. In this role, you will lead the development and optimization of large-scale data systems, ensuring seamless data integration, management, and analysis across diverse platforms. Your expertise will drive innovative data solutions that empower business intelligence and strategic decision-making. This position offers an exciting opportunity to work with cutting-edge technologies in a fast-paced environment, contributing to the organization's data-driven success., * Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to facilitate efficient data flow from various sources into centralized data warehouses and lakes.

 * Implement and optimize big data systems using tools such as Hadoop, Spark, Apache Hive, and Azure Data Lake to handle large volumes of structured and unstructured data.
 * Collaborate with cross-functional teams to develop robust data models and schemas that support business intelligence tools like Looker and other analytics platforms.
 * Manage cloud-based databases on AWS, Azure, or other public cloud platforms, ensuring high availability, security, and performance.
 * Develop and maintain APIs (Application Programming Interfaces) for seamless data access and integration across applications using RESTful services.
 * Conduct data modeling activities utilizing dimensional modeling techniques for effective data warehousing design.
 * Write complex SQL queries using Microsoft SQL Server, Oracle, or other SQL databases to support reporting and analysis needs.
 * Support model training and analysis efforts by preparing datasets, performing exploratory data analysis, and applying analytical techniques.
 * Automate routine tasks through shell scripting (Bash/Unix shell), VBA macros, or Python scripts to improve efficiency.
 * Participate in Agile development cycles by collaborating with product owners, developers, and stakeholders to deliver high-quality solutions on time.