Senior Data Engineer AI

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?

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