Senior Data AI Developer

Socket.dev; Atlanta (GA); On-site; USD 60,000 - 120,000; Full time

Job summary

Socket.dev is seeking a data engineer in Atlanta, GA to lead data engineering strategy, build scalable data pipelines, and collaborate with cross-functional teams on AI and data platform initiatives.

The role emphasizes developing long-term data plans, driving innovation in data practices, and delivering robust data solutions across projects.

Qualifications

• Graduate in Computer Science, Data Science, or related field.
• 4–6 years of data engineering experience.
• Experience with data pipelines and cloud-based data platforms.

Responsibilities

• Lead data engineering strategy across projects.
• Drive innovation and optimization of data practices.
• Represent team in executive meetings.
• Develop long-term data plans.

Skills

Data engineering

ETL/ELT pipelines

LLM integrations

Cloud data platforms

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

SQL

Python

Cloud platforms

Job description

Base Compensation Range: 60,000 - 120,000

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Key Responsibilities

• Build AI agents and multi-agent solutions
• Develop agentic workflows and LLM integrations
• Implement data quality, classification, lineage, and governance solutions
• Design scalable ETL/ELT pipelines and modern data platforms
• Support cloud-based data modernization programs
• Collaborate with business, architecture, and engineering teams

Responsibilities

Lead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.

Qualifications

Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.