Claude AI Data Engineer | Centstone | Remote – USA

Centstone; United States; Remote; USD 96,000 - 165,000; Full time

Job summary

Centstone is seeking a Claude AI Data Engineer for a remote contract across the USA. You will own scalable data architectures, automated pipelines, and advanced data integration using Python, SQL, and Claude AI.

You will collaborate with data scientists, analytics teams, and product managers to ensure data quality, low latency, and cloud-driven data delivery, while maintaining documentation and governance. This role emphasizes AI-driven development and high-impact delivery.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, IT, Software Engineering or related field.
• 4–7 years of data engineering, data warehousing, or backend software development experience.
• Proficient in Python and advanced SQL for data processing and transformation.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines and ingestion frameworks.
• Build and optimize robust ETL/ELT workflows and enterprise data integration solutions.
• Use Python and SQL to perform complex data processing and transformations at scale.
• Leverage Claude AI for code generation, debugging, and workflow automation.
• Monitor pipeline performance and ensure high availability and data integrity.
• Ensure data quality, consistency, and governance across reporting layers.

Skills

Python

SQL

Claude AI

ETL/ELT

Education

Bachelor’s degree in CS/DS/IT/SE or related

Tools

PySpark

Snowflake/BigQuery/Redshift

Airflow/Prefect

Docker

Terraform

Job description

Position Summary:

We are seeking an elite and forward-thinking Claude AI Data Engineer to join Centstone on a remote contract basis across the USA. In this high-impact engineering role, you will lead the design, development, and scaling of robust data pipelines, ETL/ELT workflows, and advanced data integration solutions. You will leverage your strong technical proficiency in Python, SQL, and cutting-edge generative AI tools—specifically Claude AI—to automate data processing, accelerate debugging, and optimize data transformation architectures. If you possess a robust background in data engineering and a passion for AI-driven development, we invite you to apply.

Detailed Job Description:

As a Claude AI Data Engineer at Centstone, you will take total ownership of building and maintaining scalable data architectures and automated data pipelines. Your daily responsibilities will span developing robust ETL/ELT workflows, writing optimized Python and SQL scripts for complex data transformation, and leveraging Claude AI for advanced code generation, automated debugging, and workflow optimization. Operating in a fully remote environment across the USA, you will collaborate closely with data architects, analytics teams, and product managers to ensure unyielding data quality, low-latency data delivery, and seamless cloud integration. Furthermore, you will monitor pipeline performance, troubleshoot throughput bottlenecks, and enforce rigorous data governance standards.

Key Responsibilities:

• Design, develop, test, and maintain scalable, production-grade data pipelines and data ingestion frameworks.
• Build, optimize, and execute robust ETL/ELT workflows and enterprise data integration solutions.
• Utilize advanced Python scripting and high-performance SQL queries for complex data processing and data transformation.
• Leverage Claude AI and generative AI toolsets for intelligent code generation, automated debugging, and workflow automation.
• Monitor, troubleshoot, and optimize data pipeline performance to ensure high availability and data integrity.
• Ensure uncompromising data quality, consistency, and compliance across all downstream reporting and analytics layers.
• Collaborate cross-functionally with data scientists, software developers, and analytics teams to support data-driven initiatives.
• Maintain comprehensive technical documentation for data architectures, schema designs, and pipeline operational runs.

Required Qualifications & Skills:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Software Engineering, or a related technical discipline.
• Minimum of 4 to 7 years of professional experience in data engineering, data warehousing, or backend software development.
• Strong, demonstrable programming proficiency in Python and advanced SQL for data processing.
• Proven professional experience designing, building, and maintaining production-grade ETL/ELT pipelines and data workflows.
• Direct, practical experience leveraging generative AI tools and Claude AI for coding, debugging, and automation.
• Solid understanding of modern data architecture principles, database design, and performance optimization techniques.
• Exceptional analytical aptitude, problem-solving skills, and attention to detail in remote work environments.
• Must be based in the USA with eligibility for remote contract work.

Nice-to-Have Skills:

• Hands-on professional experience with PySpark for distributed large-scale data processing (preferred).
• Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and cloud orchestration tools (Airflow, Prefect).
• Familiarity with containerization tools (Docker) and infrastructure-as-code (Terraform).
• Contributions to open-source data engineering or generative AI repositories.
• Prior professional experience within fast-paced technology consulting or remote-first startup environments.

Application Information:

• Recruiter: Centstone Talent Acquisition Practice
• Contact Name: Vidyasagar Chintala
• Email: [e-mail]
• Phone: Unspecified
• Application URL: Unspecified
• Salary/Rate: Competitive remote contract remuneration commensurate with technical experience
• Deadline: Immediate / Urgent Hiring
• Notice Period: Immediate to 14 days preferred
• Contract Duration: Contract Position (Remote – USA)

Recruitment Pro Tip:

When applying for cutting-edge AI data engineering roles, ensure your CV explicitly highlights your hands-on proficiency with Claude AI, Python/SQL data pipelines, and PySpark distributed processing.