Raas Infotek LLC
Raas Infotek LLC

Senior Data Engineer

Texas City, TX, US • Posted 2 days ago • Updated 4 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Databricks
  • Continuous Integration
  • Data Cleansing
  • Data Warehouse
  • Git
  • Good Clinical Practice
  • Database
  • DevOps
  • Docker
  • ELT
  • Extract
  • Transform
  • Load
  • Data Engineering
  • Data Modeling
  • Data Processing
  • Data Quality
  • Collaboration
  • Communication
  • Conflict Resolution
  • Continuous Delivery
  • Apache Hive
  • Apache Kafka
  • Microsoft Power BI
  • Microsoft SQL Server
  • Orchestration
  • Banking

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10477291
  • Position Id: 9118683
  • Posted 2 days ago
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