Data Engineer, Remote

TalentHop; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Equity compensation

Remote-first environment

Health insurance reimbursement

401(k) plan with company match

Job summary

TalentHop seeks a DATA ENGINEER to scale data infrastructure for AI research and product development. You will build distributed pipelines, manage storage across SQL/NoSQL, and ensure reliable data systems for experimentation at scale.

You will collaborate with AI researchers and engineers, optimize cloud-native workflows, and implement automation and monitoring to support data-intensive applications across a remote-first organization.

Qualifications

• Proficiency in Python and SQL with strong programming skills.
• Experience with distributed data processing frameworks and big data environments.
• Understanding of scalable data architectures and data modeling.

Responsibilities

• Design, build, and maintain scalable data pipelines for large datasets from multiple sources.
• Develop and optimize distributed data processing workflows using Spark and cloud-native technologies.
• Build and maintain data storage solutions across SQL and NoSQL systems ensuring scalability and performance.
• Design and implement data architectures on AWS for high-volume data ingestion and processing.
• Write efficient Python and SQL code for data extraction, transformation, validation, and analysis.
• Ensure data quality, integrity, and operational reliability across pipelines and storage layers.
• Collaborate with AI researchers, data scientists, and engineering teams to support experimentation.
• Implement automation, orchestration, and monitoring workflows for scalable data operations.

Skills

Python

SQL

Spark

Distributed data processing

Data architectures

Tools

Apache Spark

AWS

SQL databases

NoSQL databases

Job description

The organization operates in the technology sector, focusing on AI-driven product development and research initiatives. It addresses challenges related to managing and processing large-scale datasets across cloud environments to support scalable data infrastructure for advanced data processing and model development.

About the Opportunity:

The DATA ENGINEER role is focused on building and scaling data infrastructure that supports AI research and product development. This position is responsible for developing distributed data pipelines, managing data storage solutions, and ensuring reliable data systems that enable efficient data processing and experimentation at scale. The role is critical for maintaining data quality and supporting data-intensive applications across the organization.

Responsibilities:

• Design, build, and maintain scalable data pipelines for large datasets from multiple sources.
• Develop and optimize distributed data processing workflows using Spark and cloud-native technologies.
• Build and maintain data storage solutions across SQL and NoSQL systems ensuring scalability and performance.
• Design and implement data architectures on AWS for high-volume data ingestion and processing.
• Write efficient Python and SQL code for data extraction, transformation, validation, and analysis.
• Ensure data quality, integrity, and operational reliability across pipelines and storage layers.
• Collaborate with AI researchers, data scientists, and engineering teams to support experimentation.
• Implement automation, orchestration, and monitoring workflows for scalable data operations.

Requirements:

• Strong proficiency in Python, SQL, and distributed data processing frameworks such as Apache Spark.
• Hands-on experience with AWS data services and cloud-native data architectures.
• Experience working with both SQL and NoSQL databases.
• Experience managing and processing large-scale datasets in distributed environments.
• Strong understanding of data partitioning, performance optimization, and scalable data architectures.

Pay Range and Compensation Package:

• The base salary for this full-time position is as per the national pay range in USD.
• Employees are eligible for equity compensation and may receive performance-based bonuses subject to policies.
• Up to 100% reimbursement for health insurance premiums.
• Paid time off.
• 401(k) plan with a company match.
• Additional benefits supporting a remote-first workforce.

Equal Opportunity Statement:

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.