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# Data Engineer

- **Company:** LTD Global
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Database, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Query Optimization, Azure Active Directory, Azure Data Lake, SQL Stored Procedures, SQL Databases, Data Logging, Azure Data Factory, Sql Optimization, Snowflake, Data Build Tool (dbt), Apache Spark, Git, Data Lakes, Pyspark, Semi-structured Data, Information Technology, Restful APIs, Software Version Control, Data Pipelines, Databricks
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/f0a7b17e-61d0-4ebb-b572-7495e97edf64

## About the Role

* Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
 * Experience: 3-5 years of hands-on experience in data engineering, data integration, or cloud data-platform development.
 * Core Competencies: Strong experience designing ETL/ELT pipelines and working with dimensional and data-warehouse concepts.
 * Snowflake Expertise: Hands-on proficiency including data loading, transformations, query tuning, and warehouse optimization.
 * Azure Stack: Practical experience with Azure Data Factory (linked services, datasets, pipelines, triggers, orchestration) and Azure Databricks (Apache Spark/PySpark, notebooks, clusters, Delta Lake concepts).
 * Technical Skills: Strong advanced SQL skills and working proficiency in Python; proven experience integrating relational, file, API, and cloud-storage sources.
 * Engineering Practices: Understanding of Git-based version control, CI/CD, Agile delivery, and secure cloud data practices.
 * Soft Skills: Strong analytical, troubleshooting, communication, and documentation skills.

Preferred Skills

 * Azure Data Lake Storage Gen2
 * Delta Lake & Snowpipe
 * dbt (data build tool)
 * Azure DevOps & Git
 * REST APIs & Data Governance/Lineage
 * Relevant Microsoft Azure or Snowflake certifications

## Description

This role requires hands-on expertise in ETL/ELT, Snowflake, Azure Data Factory, and Azure Databricks, with a strong focus on data quality, performance, reliability, and secure delivery., * Pipeline Development: Design, develop, test, deploy, and maintain batch and near-real-time ETL/ELT pipelines for structured and semi-structured data.

 * Orchestration: Build and orchestrate ingestion and transformation workflows using Azure Data Factory and Azure Databricks.
 * Data Warehousing: Develop scalable data models, transformations, stored procedures, and performance-optimized workloads in Snowflake.
 * Coding & Transformation: Use PySpark, Python, and SQL to cleanse, integrate, validate, and transform data across cloud and enterprise sources.
 * Reliability & Monitoring: Implement monitoring, logging, alerting, retry, and error-handling mechanisms to improve pipeline reliability.
 * Governance & Security: Apply data-quality checks, reconciliation controls, lineage, documentation, security, and access-control standards.
 * Collaboration: Partner with architects, analysts, application teams, and business stakeholders to translate requirements into robust data solutions.
 * Operations: Participate in code reviews, CI/CD deployments, production support, root-cause analysis, and continuous optimization.