Data Engineer

Hybrid in Lakeland, FL, US • Posted 16 hours ago • Updated 16 hours ago
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Agile
  • ELT
  • Extract, Transform, Load
  • Snow Flake Schema
  • Microsoft Azure
  • Oracle
  • Data Processing
  • Data Quality
  • Data Warehouse
  • Database
  • Databricks
  • Continuous Integration
  • Data Engineering
  • Data Integration
  • Data Modeling
  • Apache Spark
  • Cloud Computing
  • Collaboration
  • Continuous Delivery
  • Amazon Redshift
  • Python
  • SQL
  • Workflow
  • Amazon S3
  • Amazon Web Services
  • Apache Kafka
  • PostgreSQL
  • PySpark

Summary

Job Title: Senior Data Engineer (W2 Only)

Experience: 10+ Years
Employment Type: W2 Only
Duration: Long-Term Contract

Required Skills:

  • 10+ years of experience in Data Engineering.
  • Strong expertise in Python, SQL, and ETL/ELT pipelines.
  • Hands-on experience with AWS/Azure, Spark, and Databricks.
  • Experience with AWS S3, Glue, Lambda, Redshift or equivalent cloud data services.
  • Strong knowledge of PySpark, Kafka, and data processing frameworks.
  • Experience with Snowflake, PostgreSQL, Oracle, or other databases.
  • Experience with Airflow and CI/CD tools.
  • Knowledge of data modeling, data warehousing, and Agile methodologies.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines.
  • Build ETL/ELT workflows and data integration solutions.
  • Process large datasets using Spark/PySpark and cloud technologies.
  • Develop data models and optimize database performance.
  • Implement data quality, monitoring, and validation processes.
  • Collaborate with data scientists, analysts, and application teams.

Mandatory Skills: Python, SQL, PySpark, AWS, Databricks, ETL, Kafka

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: 9051913
  • Posted 16 hours ago
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