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Data Engineer

Raas Infotek LLCLakeland, FL🇺🇸United StatesPosted 11 Aug 2026

Why This Role Stands Out

This senior Data Engineer role offers significant opportunities for professional growth and skill development within a reputable company, with the added flexibility of a hybrid work model. If you possess extensive experience in Python, SQL, ETL/ELT, and cloud platforms like AWS or Azure, you'll thrive in this position building impactful data solutions. Apply today to leverage your expertise in a challenging and rewarding long-term contract.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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

Skills

Oracle
SQL
AWS
ETL
Snowflake
Agile
Airflow
Azure
Databricks
Kafka
PostgreSQL
Python
Redshift

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