Senior Data Engineer

Strues Inc; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

StruesInc in the United States is seeking a Senior Data Engineer with deep expertise in Agentic AI, Generative AI, and data engineering. You will lead the design, development, and optimization of data pipelines and AI-driven automation across cloud platforms.

The role requires independent leadership, stakeholder collaboration, and a track record of delivering AI-enabled data solutions with minimal supervision. This is a high-visibility senior technical position in a fast-paced environment.

Qualifications

• Strong hands-on experience designing, developing, and optimizing data pipelines and workflows.
• Expertise in Agentic AI, Generative AI, and AI-driven automation within data engineering environments.
• Hands-on Databricks and AWS Redshift experience.

Responsibilities

• Data Engineering Optimization: improve efficiency, scalability, and performance of data pipelines and architectures.
• AI & Automation Enablement: identify opportunities to leverage automation and AI to streamline data operations.
• POCs: design, develop, and demonstrate innovative AI-powered POCs and production-ready solutions.
• Agentic AI Implementation: apply hands-on Agentic AI within data engineering environments.
• AI Across SDLC: implement AI-enabled solutions throughout SDLC to improve development efficiency and quality.
• Problem-Solving & Innovation: identify opportunities for continuous improvement.

Skills

Data Engineering

Agentic AI

Generative AI

Automation

SDLC

Technical Leadership

Tools

Databricks

AWS Redshift

Job description

Job Title: Senior Data Engineer Agentic AI & Automation

Key Technologies: Agentic AI, Generative AI, Data Engineering, Databricks, AWS Redshift, AI Automation, POCs, SDLC

Job Description

We are seeking an exceptional, highly skilled, and innovative Senior Data Engineer with strong hands-on expertise in Agentic AI, Artificial Intelligence, Data Engineering, Databricks, and AWS Redshift.

The ideal candidate will be a proactive problem-solver and self-starter who can independently identify opportunities for process optimization, automation, and AI-driven transformation.

This is a high-visibility role requiring strong technical leadership, innovative thinking, excellent stakeholder collaboration, and the ability to deliver impactful solutions with minimal supervision.

Key Responsibilities

• Data Engineering Optimization: Assess, evaluate, and optimize existing data engineering processes, workflows, and architectures to improve efficiency, scalability, and performance.
• AI & Automation Enablement: Proactively identify opportunities to leverage automation, Generative AI, and Agentic AI to streamline data engineering operations and business processes.
• Proof of Concepts (POCs): Design, develop, and demonstrate innovative POCs, driving successful implementation and adoption of AI-powered solutions.
• Agentic AI Implementation: Apply hands-on expertise in Agentic AI and AI-driven solutions within data engineering environments.
• AI Across SDLC: Identify and implement AI-enabled solutions throughout the Software Development Life Cycle (SDLC) to improve development efficiency, quality, and productivity.
• Problem-Solving & Innovation: Demonstrate exceptional analytical and problem-solving abilities while proactively identifying opportunities for continuous improvement.
• Stakeholder Collaboration: Work effectively with technical teams, business stakeholders, and leadership to understand challenges, recommend innovative solutions, and build alignment.
• Technical Leadership: Independently drive technical initiatives from concept through implementation, ensuring measurable business value.

Required Skills & Qualifications

• Strong hands-on experience in Data Engineering, including designing, developing, and optimizing data pipelines and workflows.
• Proven expertise in Agentic AI, Generative AI, and AI-driven automation within data engineering environments.
• Solid hands-on experience with Databricks and AWS Redshift.
• Experience identifying automation opportunities and translating innovative ideas into working POCs and production-ready solutions.
• Strong understanding of AI applications across the SDLC.
• Exceptional analytical, troubleshooting, and problem-solving skills.
• Ability to collaborate with cross-functional teams and communicate effectively with business and technical stakeholders.
• Demonstrated ability to independently lead initiatives and deliver results with minimal guidance.
• Strong innovation mindset with the ability to proactively recommend and implement improvements.

Ideal Candidate Profile

We are looking for an individual who:

• Is a self-starter, highly motivated, and results-oriented professional.
• Demonstrates exceptional technical expertise and innovative thinking.
• Takes ownership of challenges and drives solutions independently.
• Proactively identifies opportunities rather than waiting for direction.
• Can effectively influence stakeholders and build consensus around innovative solutions.
• Combines deep technical knowledge with a strong understanding of business objectives.
• Thrives in a high-visibility, fast-paced, and collaborative environment.

Position Highlights

This opportunity is ideal for a senior technical professional passionate about transforming traditional data engineering practices through Agentic AI, intelligent automation, and modern cloud data platforms.

The successful candidate will play a critical role in driving innovation, improving operational efficiency, and delivering next-generation AI-enabled data engineering solutions.

Thanks,

Hiring Manager,

StruesInc