Senior Data Engineer

Plano, TX, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
12 Months
No Travel Required
On-site
$60 - $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Real-time
  • Google Cloud Platform
  • Performance Tuning
  • Python
  • Mentorship
  • Microsoft Azure
  • Orchestration
  • PySpark
  • Extract, Transform, Load
  • Git
  • Good Clinical Practice
  • Jenkins
  • Databricks
  • Design Review
  • DevOps
  • Docker
  • ELT
  • Data Lake
  • Data Modeling
  • Data Quality
  • Data Warehouse
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Cloud Computing
  • Collaboration
  • Computer Science
  • Apache Kafka
  • Apache Spark
  • Change Data Capture
  • Amazon Redshift
  • Amazon Web Services
  • Apache Airflow
  • SCD
  • SQL
  • Snow Flake Schema
  • Streaming
  • Teradata
  • Terraform

Summary

Senior Data Engineer

Experience: 10+ Years
Type: Contract W2

Job Description

We are looking for a highly experienced Senior Data Engineer with 10+ years of experience in designing and developing scalable data solutions and enterprise data platforms.

Required Skills

  • 10+ years of experience in Data Engineering / ETL
  • Strong hands-on experience with Python, SQL, and PySpark
  • Strong experience with Databricks, Apache Spark, and Delta Lake
  • Expertise in AWS, Azure, or Google Cloud Platform cloud platforms
  • Experience with Snowflake, Redshift, BigQuery, Synapse, Teradata, or similar data warehouses
  • Strong knowledge of ETL/ELT, data pipelines, data modeling, and data warehousing
  • Experience with Apache Airflow, Azure Data Factory, AWS Glue, or similar orchestration tools
  • Experience with Kafka / Spark Streaming is preferred
  • Knowledge of CI/CD, Git, Jenkins/Azure DevOps, Docker, and Terraform is a plus
  • Experience with CDC, SCD, partitioning, performance tuning, and data quality
  • Strong understanding of Data Lake, Data Warehouse, and Lakehouse architecture
  • Ability to lead technical discussions, perform design reviews, and mentor junior engineers

Responsibilities

  • Design and develop scalable batch and real-time data pipelines.
  • Build and optimize cloud-based data platforms and ETL/ELT solutions.
  • Develop complex data transformations using Python, SQL, and PySpark.
  • Perform data quality checks, troubleshooting, and performance optimization.
  • Collaborate with architects, data scientists, analysts, and business teams.
  • Support production deployments and resolve complex data pipeline issues.

Education: Bachelor's degree in Computer Science, IT, Engineering, or related field preferred.

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: 9088771
  • Posted 12 hours ago
Contact the job poster
RC

Rahul Chourasia

Recruiter @ Raas Infotek LLC
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