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Senior Data Engineer

Raas Infotek LLCTexas City, TX🇺🇸United StatesPosted Oct 19, 2026

Why This Role Stands Out

This hybrid Senior Data Engineer role offers a fantastic opportunity to leverage your extensive experience with Python, SQL, and cloud platforms to build impactful, scalable data solutions. You'll thrive here if you possess a deep understanding of data warehousing, ETL/ELT, and distributed processing, and are eager to contribute to innovative projects within a dynamic tech environment. Apply today to shape the future of data at Raas Infotek LLC!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Texas City, TX, United States
Posted
Yesterday
DockerMySQLOracleSQLSQL ServerAWSETLSnowflakeTableauAirflowApacheApache SparkAzureBigQueryDatabricksGitGoogle CloudHadoopHiveKafkaKubernetesPostgreSQLPower BIPythonRedshift

Job Description

Senior Data Engineer – Job Description

Location: Texas, USA
Experience: 11+ Years
Job Type: W2
Relocation: Candidates willing to relocate are welcome.

Job Summary

We are looking for an experienced Senior Data Engineer with strong hands-on experience in data engineering, ETL pipelines, cloud platforms, and big data technologies. The candidate will be responsible for building scalable data solutions, integrating data from multiple sources, and ensuring data quality and reliability.

Required Technologies

  • Programming: Python, SQL, PySpark.

  • Data Engineering: ETL/ELT, data pipelines, data modeling, data warehousing.

  • Big Data: Apache Spark, Hadoop, Hive, Kafka.

  • Cloud Platforms: AWS, Azure, or Google Cloud Platform.

  • Data Platforms: Snowflake, Databricks, Amazon Redshift, or Google BigQuery.

  • ETL Tools: AWS Glue, Azure Data Factory, Informatica, or similar tools.

  • Databases: SQL Server, Oracle, PostgreSQL, or MySQL.

  • Workflow Orchestration: Apache Airflow or similar tools.

  • DevOps: Git, CI/CD, Docker, and Kubernetes.

  • Data Quality: Data validation, data cleansing, monitoring, and performance optimization.

  • Reporting: Power BI or Tableau is a plus.

Responsibilities

  • Design, develop, and maintain scalable data pipelines.

  • Build and optimize ETL/ELT processes using Python, SQL, and PySpark.

  • Integrate data from databases, APIs, and other sources.

  • Develop and maintain data warehouses and data models.

  • Monitor data quality and troubleshoot pipeline issues.

  • Optimize data processing performance and reliability.

  • Collaborate with data analysts, data scientists, and business teams.

Preferred Domain Experience

Experience in one or more of the following domains is preferred:

  • Banking and Financial Services

  • Healthcare

  • Insurance

  • Retail and E-commerce

  • Telecommunications

Candidate Requirements

  • 11+ years of overall IT experience with strong data engineering experience.

  • Hands-on experience with data pipelines, cloud platforms, and ETL/ELT processes.

  • Strong analytical, problem-solving, and communication skills.

  • Ability to work independently and collaborate with technical teams.

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