Senior Data Engineer AI

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer AI in United States.

This role sits at the intersection of data engineering, AI-driven systems, and large-scale cloud data platforms, supporting critical data operations that power enterprise decision-making. You will work on complex data pipelines, ensuring data quality, reliability, and accessibility across multiple systems and environments. Operating in a highly technical and collaborative setting, you will help design, optimize, and monitor data workflows that support advanced analytics and AI use cases. The position requires deep expertise in big data ecosystems, strong SQL and programming capabilities, and a proactive approach to identifying and resolving data issues. You will collaborate closely with stakeholders, engineers, and clients to ensure data integrity and performance across production systems. This is a high-impact role where your work directly influences the accuracy, scalability, and trustworthiness of data-driven solutions.

Accountabilities

In this role, you will be responsible for building, maintaining, and optimizing large-scale data pipelines and ensuring the reliability of data systems used across business-critical operations. You will support both day-to-day data processing and long-term improvements to architecture and workflows.

Design, develop, and maintain complex SQL queries for data management, validation, and transformation
Build, monitor, and optimize data pipelines using modern big data and cloud technologies
Ensure data quality, integrity, and security across ingestion, processing, and delivery workflows
Analyze data trends, detect anomalies, and troubleshoot production issues in real time
Support implementation and configuration of data solutions across cloud environments (AWS, Azure, Databricks, Snowflake, Hadoop, Spark)
Collaborate with stakeholders and clients to support testing, requirements, and production deployments
Document processes, create SOPs, and contribute to continuous improvement initiatives
Mentor team members and support knowledge sharing across engineering teams

Requirements

The ideal candidate brings strong technical depth in data engineering, cloud platforms, and large-scale data processing, along with the ability to work independently in fast-paced environments.

8+ years of experience in data engineering, data analysis, or related roles
Strong expertise in SQL, data modeling, and data transformation techniques
Hands-on experience with big data and cloud platforms (Databricks, AWS, Azure, Snowflake, Hadoop, Spark)
Experience building and maintaining data pipelines using tools such as Airflow or Databricks Workflows
Strong programming knowledge in Spark and Scala is a plus
Solid understanding of data governance, quality assurance, and compliance practices
Experience working with healthcare or large-scale transactional data is a plus
Strong analytical, problem-solving, and troubleshooting skills
Excellent communication skills and ability to work cross-functionally and with clients
Bachelor’s degree in Computer Science, Information Technology, or equivalent experience

Benefits

Competitive salary: $140,000–$165,000 base compensation
Discretionary bonus eligibility
Medical, dental, vision, disability, and life insurance coverage
401(k) retirement savings plan
Paid time off: 17–27 days depending on tenure and level
9 paid holidays per year
Paid family leave benefits
Remote work environment with flexible work schedule
Exposure to large-scale data systems and advanced AI/data engineering technologies
Professional growth opportunities in a highly technical environment
Inclusive workplace with equal employment opportunity practices

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Requirements

Benefits

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