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Remote Databricks Data Engineer Jobs in Kentucky

It's exciting to work for a company that makes the world measurably better. We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing. Job

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our

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Remote Databricks Data Engineer information

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are the most commonly searched types of Databricks Data Engineer jobs in Kentucky?

The most popular types of Databricks Data Engineer jobs in Kentucky are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Kentucky?

For Remote Databricks Data Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Kentucky look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Remote Databricks Data Engineer jobs?

Cities in Kentucky with the most Remote Databricks Data Engineer job openings:

Infographic showing various Remote Databricks Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% Hybrid, and 92% Remote job distribution.

Senior Database Reliability Engineer

Lexington, KY โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 12 days ago


Job description

Senior Database Reliability Engineer:


Job Type: Full-time


Location: Remote


Job Summary:

Join our team as a Senior Database Reliability Engineer, where youโ€™ll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL environments. You will leverage your deep technical expertise to drive database reliability, high availability, and performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent opportunity for talented engineers who are passionate about building robust data systems and thrive in collaborative, fast-paced environments.


Key Responsibilities:

โ€ข Design, implement, and manage highly available, resilient PostgreSQL database architectures using AWS RDS and Aurora PostgreSQL.

โ€ข Optimize database performance by analyzing query execution plans, tuning indices, and implementing advanced partitioning strategies.

โ€ข Ensure disaster recovery readiness through robust backup, replication, and failover processes.

โ€ข Diagnose and resolve slow queries, locks, deadlocks, and complex bottlenecks impacting large-scale databases.

โ€ข Automate routine maintenance tasks and promote operational excellence across all database environments.

โ€ข Collaborate cross-functionally to support new features, data migrations, and ongoing application scaling.

โ€ข Maintain comprehensive documentation and demonstrate excellent written and verbal communication skills.


Required Skills and Qualifications:

โ€ข 5+ years of experience managing and optimizing PostgreSQL databases in production settings.

โ€ข Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.

โ€ข Proven hands-on experience with AWS RDS and Aurora PostgreSQL, including backup, recovery, and high-availability design.

โ€ข Strong analytical abilities in troubleshooting slow queries, execution plans, locks, and deadlocks.

โ€ข Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.

โ€ข Deep care for clear, proactive written and verbal communication.

โ€ข Ability to work independently and collaboratively within a remote team.


Preferred Qualifications:

โ€ข Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.

โ€ข Familiarity with Infrastructure as Code (Terraform), CI/CD pipelines, and cloud-native service environments.

โ€ข Exposure to supporting modern data architectures and advanced monitoring tools.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $120,000-$150,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.