W2 Only :: 15 + Years Senior Data Lake Engineer :: TX
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a W2 Senior Data Lake Engineer with 15+ years of experience, focused on AWS Data Lake technologies. Contract length is unspecified, with a pay rate of "TBD." Must possess strong Python skills and reside in the U.S. for at least 7 years.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 1, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Infrastructure as Code (IaC) #GitLab #Data Lake #Alteryx #Data Pipeline #DynamoDB #DevOps #Aurora #Scripting #AWS Glue #XML (eXtensible Markup Language) #Data Modeling #Terraform #JSON (JavaScript Object Notation) #Spark (Apache Spark) #Kafka (Apache Kafka) #PySpark #AWS (Amazon Web Services) #Python #Docker #Security #Data Engineering #Big Data #Database Design #IAM (Identity and Access Management) #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Kubernetes #Programming #Redshift #Lambda (AWS Lambda) #Cloud
Role description
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Make sure the LinkedIn profile is at least 2 years old.
Strong verbal and written communication skills are non-negotiable.
Must have lived and worked in the U.S. for at least 7 years
No West Coast candidates will be considered
1. Core Technical Skills (Must-Have)
• AWS Data Lake Expertise:
• Lake Formation, S3, Glue (Crawler, Catalog, Glue Jobs), Step Functions, DynamoDB, IAM, Lambda.
• Programming & Data Engineering:
• Strong Python (AWS SDK, Lambda development, scripting).
• PySpark for big data ETL pipelines.
• DevOps & Infrastructure as Code:
• GitLab pipelines, Terraform, CloudFormation, or Serverless frameworks.
• ETL & Data Pipelines:
• Proven experience building, optimizing, and automating ETL flows in cloud environments.
• Data Formats & Processing:
• Proficiency with JSON, Parquet, XML, and other structured/semi-structured data formats.
1. Nice-to-Haves (Highly Desired)
• AuroraDB, Redshift, AWS Glue Registry, Kafka, Alteryx.
• Strong understanding of Data Modeling, Database Design, and CI/CD Pipelines.
• Experience with containerization (Docker, Kubernetes) and Security practices.
1. Experience Level
• 15+ years total IT experience (the team felt 10 years was "too mid-level").
• Deep background in Data Engineering/Development (not just analysis).
• Ability to write Lambda functions and automate workflows in Python.
