Data Engineer

Job Title: Data Engineer

Location: Plano, TX – 5 Days Onsite
Job Type: Contract
Work Authorization: W2 Candidates Only
Experience: 12+ Years
Location Requirement: Local/nearby candidates preferred

Job Summary

We are looking for an experienced Data Engineer with 12+ years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should have strong hands-on experience with Databricks, Snowflake, Apache Spark, Java, and Python.

The candidate must be comfortable working onsite 5 days per week in Plano, TX and should be local or within a reasonable commuting distance.

Required Skills

• 12+ years of experience in Data Engineering or related roles.
• Strong hands-on experience with Databricks.
• Strong experience with Snowflake and modern cloud data platforms.
• Excellent knowledge of Apache Spark for large-scale data processing.
• Strong programming experience with Python and Java.
• Experience designing and developing scalable data pipelines and ETL/ELT processes.
• Strong understanding of data processing, transformation, integration, and data quality.
• Ability to troubleshoot and optimize data pipelines and Spark jobs.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with Amazon EMR.
• Experience with AWS cloud services and data engineering solutions.
• Experience working with distributed data processing and cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data processing solutions.
• Develop data transformation and integration workflows using Databricks and Spark.
• Work with Snowflake for data storage, processing, and analytics.
• Develop and maintain applications and data processing components using Python and Java.
• Optimize data pipelines and Spark workloads for performance and scalability.
• Collaborate with data architects, analysts, developers, and business stakeholders.
• Troubleshoot data pipeline, processing, and integration issues.
• Implement data quality, validation, and monitoring processes.
• Contribute to the design and implementation of cloud-based data solutions.
• Follow best practices for security, performance, scalability, and maintainability.