Senior Data Engineer

Irving, TX, US • Posted 5 hours ago • Updated 5 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

  • PostgreSQL
  • Informatica
  • Mentorship
  • Microsoft Azure
  • Microsoft SQL Server
  • Git
  • Good Clinical Practice
  • Google Cloud Platform
  • Databricks
  • Documentation
  • ELT
  • Extract, Transform, Load
  • Data Modeling
  • Data Quality
  • Data Warehouse
  • Continuous Integration
  • Data Engineering
  • Data Flow
  • Communication
  • Conflict Resolution
  • Continuous Delivery
  • Analytical Skill
  • Cloud Computing
  • Database
  • Agile
  • Amazon Redshift
  • Performance Tuning
  • Problem Solving
  • Amazon Web Services
  • Collaboration
  • Oracle
  • PySpark
  • Python
  • SQL
  • Snow Flake Schema
  • Teradata

Summary

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.
 
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: 9103130
  • Posted 5 hours ago
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RC

Rahul Chourasia

Recruiter @ Raas Infotek LLC
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