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Senior Data Engineer

Raas Infotek LLCIrving, TX🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This hybrid Senior Data Engineer role at Raas Infotek LLC offers an excellent opportunity to leverage your extensive experience in data solutions, including ETL/ELT, SQL, Python, and cloud platforms. You'll thrive here if you are a seasoned professional with over 10 years of expertise looking to contribute to impactful data projects within a dynamic environment. We encourage you to apply and explore this exciting career growth potential.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Irving, TX, United States
Posted
19 hours ago
OracleSQLSQL ServerAWSETLSnowflakeAgileAzureBigQueryData PipelineDatabricksGitGoogle CloudPostgreSQLPythonRedshift

Job Description

Position: Senior Data Engineer
Experience: 10+ Years
Employment Type: Contract W2

Job Summary

We are looking for an experienced Senior Data Engineer with 10+ years of experience in designing, developing, and optimizing scalable data solutions. The ideal candidate should have strong expertise in ETL/ELT, SQL, Python, cloud platforms, data warehousing, data pipelines, and data modeling.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build and optimize data solutions using Python, PySpark, and SQL.
  • Develop enterprise data warehouses, data lakes, and analytical platforms.
  • Work with cloud technologies such as AWS, Azure, or Google Cloud Platform.
  • Design and implement data models, including dimensional and transactional models.
  • Develop data pipelines using tools such as Informatica, Dataflow, Databricks, AWS Glue, or Azure Data Factory.
  • Implement data quality, validation, governance, and performance optimization processes.
  • Work with databases such as Oracle, PostgreSQL, SQL Server, Teradata, Snowflake, and BigQuery.
  • Collaborate with architects, analysts, developers, and business teams to define data requirements.
  • Troubleshoot data pipeline failures and resolve performance and production issues.
  • Mentor junior and mid-level data engineers and provide technical guidance.
  • Participate in architecture, code reviews, documentation, and deployment activities.

Required Skills

  • 10+ years of experience in Data Engineering.
  • Strong hands-on experience with SQL, Python, and PySpark.
  • Strong knowledge of ETL/ELT development and data pipeline architecture.
  • Experience with AWS, Azure, or Google Cloud Platform cloud environments.
  • Strong understanding of Data Warehousing, Data Lakes, and Lakehouse architecture.
  • Experience with Snowflake, BigQuery, Databricks, Redshift, or similar platforms.
  • Strong knowledge of data modeling and database concepts.
  • Experience with Git, CI/CD, and Agile methodologies.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience leading technical discussions and mentoring team members.

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