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# Data Engineer

- **Company:** Metasys Technologies
- **Location:** Orlando, FL, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Data Validation, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Security, Data Warehousing, DevOps, Dimensional Modeling, Information Lifecycle Management, JSON, Python (Programming Language), Performance Tuning, Query Optimization, SQL Stored Procedures, SQL Databases, Systems Architecture, Workflow Management Systems, Extensible Markup Language (XML), Parquet, Google Cloud, Snowflake, Apache Spark, Git, Semi-structured Data, Information Technology, Performance Monitor, Star Schema, Integration Frameworks, Software Version Control, Data Pipelines
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/1175d0f3-19f3-4821-adc9-16ab6a52b8fb/data-engineer

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
 * 4 years of experience as a Data Engineer or similar role.
 * Strong hands-on experience developing ETL/ELT pipelines.
 * Extensive experience with Snowflake data warehouse development and administration.
 * Strong programming skills in Python.
 * Advanced proficiency in SQL, including performance tuning and query optimization.
 * Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
 * Experience with Git or other version control systems.
 * Strong analytical, troubleshooting, and problem-solving skills.
 * Excellent communication and collaboration abilities.

Preferred Qualifications

 * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Knowledge of orchestration tools such as Apache Airflow.
 * Experience with CI/CD pipelines and DevOps practices.
 * Familiarity with data modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
 * Understanding of data governance, security, and data quality frameworks.
 * Experience with big data technologies such as Spark is a plus.

## Description

We are seeking an experienced Data Engineer to design, develop, and optimize scalable data pipelines and data warehouse solutions. The ideal candidate will have strong expertise in ETL/ELT development, Snowflake, Python, and SQL, along with experience building robust data integration solutions that support business intelligence, analytics, and data science initiatives., * Design, develop, and maintain scalable ETL/ELT pipelines for ingesting and transforming data from multiple source systems.

 * Build, optimize, and maintain data warehouse solutions using Snowflake.
 * Develop data processing frameworks and automation scripts using Python.
 * Write complex and optimized SQL queries, stored procedures, and views for data transformation and reporting.
 * Implement data validation, cleansing, and quality checks to ensure data accuracy and consistency.
 * Optimize Snowflake performance, including warehouse sizing, clustering, partitioning, and query tuning.
 * Collaborate with business analysts, data scientists, and application teams to understand data requirements.
 * Monitor data pipelines, troubleshoot production issues, and implement proactive monitoring solutions.
 * Develop reusable data integration components and follow best practices for coding, testing, and deployment.
 * Ensure data security, governance, and compliance standards are followed throughout the data lifecycle.
 * Create technical documentation for data models, ETL processes, and system architecture.