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Remote Senior Data Engineer Jobs in Laredo, TX (NOW HIRING)

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Lead and execute ad-hoc analyses to support data-driven initiatives and strategic projects ... Design creative analytics and visualizations to provide deeper performance insights for senior ...

... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ... Strong fundamental scientific and engineering skills for the evaluation of experimental data

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Remote Senior Data Engineer information

See Laredo, TX salary details

$71.1K

$110.9K

$153.6K

How much do remote senior data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote senior data engineer in Laredo, TX is $110,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $126,400.00 per year, depending on experience, location, and employer.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Remote Senior Data Engineer jobs in Laredo, TX?

For Remote Senior Data Engineer jobs in Laredo, TX, the most frequently searched job titles are:

What job categories do people searching Remote Senior Data Engineer jobs in Laredo, TX look for?

The top searched job categories for Remote Senior Data Engineer jobs in Laredo, TX are:

What cities near Laredo, TX are hiring for Remote Senior Data Engineer jobs?

Cities near Laredo, TX with the most Remote Senior Data Engineer job openings:

Infographic showing various Remote Senior Data Engineer job openings in Laredo, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,891 per year, or $53.3 per hour.

Senior Database Reliability Engineer

micro1 AI

Laredo, TX • Remote

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 5 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 you’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:

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

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

• Ensure disaster recovery readiness through robust backup, replication, and failover processes.

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

• Automate routine maintenance tasks and promote operational excellence across all database environments.

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

• Maintain comprehensive documentation and demonstrate excellent written and verbal communication skills.


Required Skills and Qualifications:

• 5+ years of experience managing and optimizing PostgreSQL databases in production settings.

• Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.

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

• Strong analytical abilities in troubleshooting slow queries, execution plans, locks, and deadlocks.

• Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.

• Deep care for clear, proactive written and verbal communication.

• Ability to work independently and collaboratively within a remote team.


Preferred Qualifications:

• Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.

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

• 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.