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Remote Data Engineer Jobs in McAllen, TX (NOW HIRING)

We are looking for Software Engineers that want to help Citamed get to the next level. If working ... Availability to work in San Juan and with remote working options Applicant should also answer the ...

... Management, Engineering, Construction Management, Finance, Data Analytics, or a related field ... Technical communication Work Environment & Travel This position may be based in a remote, or client ...

Python Tutor

Edinburg, TX · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Bachelor's degree in Project Management, Engineering, Construction Management, Business ... Reporting and data management * Problem solving and accountability Work Environment & Travel This ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Remote Data Engineer information

See McAllen, TX salary details

$42.3K

$123.2K

$168.6K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in McAllen, TX is $123,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $130,600.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in McAllen, TX?

The most popular types of Data Engineer jobs in McAllen, TX are:

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

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

Infographic showing various Remote Data Engineer job openings in McAllen, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,234 per year, or $59.2 per hour.

Senior Database Reliability Engineer

micro1 AI

Edinburg, TX • Remote

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 4 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.