Senior Data Engineer

  • Fort Walton Beach, FL
  • Posted 3 days ago | Updated moments ago

Overview

On Site
$100000 - $150000 per annum
Full Time

Skills

Senior Data Engineer

Job Details






Senior Data Engineer



Location: 100% Onsite


Address: Fort Walton Beach, FL 32548


Duration: Direct Hire


Rate: $100K to 150K base + Benefits


Relocation package available



Organization Overview:


Our client, a leading company in the tech industry, is seeking a talented Senior Data Engineer with strong AWS expertise to join their dynamic team. Renowned for their commitment to innovation, growth, and a supportive work culture, our client offers an exciting environment for professionals to thrive.


Role Summary:


Our client is looking to expand their team by hiring a Senior Data Engineer to drive strategic initiatives and support ongoing growth. This role plays a crucial part in shaping the company's AWS-based data infrastructure, making it a pivotal and impactful opportunity for the right candidate.


Responsibilities:



  • Develop and maintain scalable data pipelines for processing large volumes of data on AWS

  • Collaborate with cross-functional teams to design and implement AWS-native, data-driven solutions

  • Ensure data quality and integrity throughout the data lifecycle using AWS data services

  • Troubleshoot and optimize AWS data processing workflows for efficiency and performance

  • Stay current with AWS innovations, industry trends, and best practices in data engineering


Essential Skills & Experience:



  • Bachelor's degree in Computer Science, Engineering, or related field

  • Proven experience in data engineering, ETL processes, and data warehousing on AWS

  • Proficiency in SQL, Python, and data manipulation tools

  • Strong expertise with AWS services (e.g., Redshift, Glue, EMR, Lambda, S3, Kinesis, RDS)

  • Excellent problem-solving skills and attention to detail


Desirable Skills & Experience:



  • Familiarity with Big Data technologies (Hadoop, Spark, Kafka) on AWS environments

  • Experience integrating machine learning workflows with AWS services (e.g., SageMaker)

  • Knowledge of data visualization tools (Tableau, Power BI, QuickSight)




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