Senior Data Engineer

Hybrid in Texas City, TX, US • Posted 2 hours ago • Updated 2 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

  • Warehouse
  • PySpark
  • Python
  • Reporting
  • Root Cause Analysis
  • SQL
  • Snow Flake Schema
  • Migration
  • Optimization
  • Orchestration
  • PL/SQL
  • Performance Tuning
  • Informatica PowerCenter
  • JSON
  • Messaging
  • Microsoft Azure
  • Databricks
  • ELT
  • Extract, Transform, Load
  • Git
  • IBM DB2
  • Data Processing
  • Data Validation
  • Database
  • Database Administration
  • Continuous Integration
  • Data Engineering
  • Data Migration
  • DevOps
  • Collaboration
  • Computerized System Validation
  • Continuous Delivery
  • Data Integration
  • Agile
  • Amazon Web Services
  • XML
  • Stored Procedures
  • Technical Drafting
  • Apache Parquet
  • Big Data
  • Cloud Computing
  • Microsoft SSIS
  • Teradata
  • Testing
  • Workflow

Summary

Senior Data Engineer

Experience: 12+ Years
Job Type: W2 Contract 

Job Summary

We are looking for an experienced Senior Data Engineer with 12+ years of experience in data engineering, ETL/ELT, data integration, cloud platforms, and database technologies. The candidate will be responsible for developing scalable data pipelines, data migration solutions, and supporting enterprise data platforms.

Required Skills

  • 12+ years of experience in Data Engineering and ETL/ELT

  • Strong expertise in SQL, Python, and database development

  • Hands-on experience with Informatica PowerCenter, IICS/IDMC, SSIS, or similar ETL tools

  • Strong experience with Oracle, SQL Server, Snowflake, Teradata, or DB2

  • Experience with Databricks, PySpark, and big data processing

  • Cloud experience with AWS, Azure, or Google Cloud Platform

  • Experience in data migration, integration, transformation, and data quality

  • Knowledge of ETL performance tuning, optimization, error handling, and reconciliation

  • Experience working with JSON, XML, CSV, Parquet, APIs, and other data formats

  • Experience with Git, CI/CD, and Agile/Scrum

Responsibilities

  • Design and develop scalable ETL/ELT data pipelines.

  • Develop complex SQL queries, stored procedures, and data transformations.

  • Build data integration and migration solutions across multiple platforms.

  • Develop Python/PySpark-based data processing workflows.

  • Perform data validation, reconciliation, and quality checks.

  • Optimize data pipelines and database performance.

  • Troubleshoot production data issues and provide root-cause analysis.

  • Work with cloud data platforms and modern data engineering technologies.

  • Collaborate with application, business, DBA, reporting, and cloud teams.

  • Participate in code reviews, technical design, testing, and Agile ceremonies.

Preferred Skills

  • Snowflake / Databricks

  • AWS / Azure / Google Cloud Platform

  • Informatica / IICS / IDMC

  • Python / PySpark

  • Data Warehousing and Dimensional Modeling

  • Kafka or other messaging technologies

  • Airflow or similar workflow orchestration tools

  • Terraform / DevOps / CI-CD

 

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: 9083419
  • Posted 2 hours ago
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