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Etl Informatica Data Engineer Jobs in McAllen, TX

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,

Data Scientist

San Juan, TX ยท On-site

$95K - $135K/yr

Job Type Full-time Description Vast builds the operating and financial backbone for fast-growing, cash-intensive businesses, combining hands-on execution with purpose-built software, automation, and

This position may be filled prior to the posted deadline. Interested candidates are encouraged to apply as soon as possible. Koniag Data Solutions, LLC, a Koniag Government Services company , is

New

This position may be filled prior to the posted deadline. Interested candidates are encouraged to apply as soon as possible. Koniag Data Solutions, LLC, a Koniag Government Services company , is

New

Position Overview Reporting To: VP, Mission Systems Team Principles At Atreides, we believe that teams work best when they: * Remain curious and passionate in all aspects of our work * Promote clear,

Mechanical Design Engineer

Weslaco, TX ยท On-site

$70K - $85K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our clients with timely engineering support and expertise. We are seeking an experienced candidate to

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a

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Etl Informatica Data Engineer information

See McAllen, TX salary details

$9

$55

$67

How much do etl informatica data engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for etl informatica data engineer in McAllen, TX is $55.43, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $63.94 per hour, depending on experience, location, and employer.

What is an ETL Informatica Data Engineer?

An ETL Informatica Data Engineer is a professional who specializes in designing, developing, and maintaining data integration workflows using Informatica tools. They are responsible for extracting data from various sources, transforming it according to business requirements, and loading it into data warehouses or databases. These engineers ensure that data is accurate, consistent, and accessible to support business analytics and reporting. They also troubleshoot ETL processes, optimize performance, and collaborate with other data professionals to meet organizational goals.

What are the key skills and qualifications needed to thrive as an ETL Informatica Data Engineer?

To thrive as an ETL Informatica Data Engineer, you need strong expertise in data warehousing, ETL processes, SQL, and a solid understanding of database concepts, often supported by a degree in computer science or related fields. Proficiency in Informatica PowerCenter, other ETL tools, and familiarity with databases like Oracle or SQL Server, along with certifications such as Informatica Certified Professional, are highly valued. Analytical thinking, problem-solving abilities, and effective communication stand out as essential soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills and qualifications are crucial for ensuring efficient, accurate, and scalable data integration that supports business intelligence and analytics initiatives.

What are some common challenges faced by ETL Informatica Data Engineers when integrating data from multiple sources?

ETL Informatica Data Engineers often encounter challenges such as handling inconsistent data formats, ensuring data quality, and managing large volumes of data from diverse sources. Resolving data mapping issues, dealing with performance bottlenecks during data loading, and ensuring seamless integration between legacy and modern systems are also common. Collaborating closely with data architects, business analysts, and QA teams helps to address these challenges effectively and deliver reliable data pipelines.

What is the difference between Etl Informatica Data Engineer vs Data Analyst?

AspectEtl Informatica Data EngineerData Analyst
Primary FocusDesigning, developing, and maintaining ETL processes using Informatica toolsAnalyzing data to generate reports and insights
Required SkillsETL development, SQL, Informatica PowerCenter, data warehousingData visualization, SQL, Excel, statistical analysis
Work EnvironmentData engineering teams, IT departments, data warehousesBusiness units, analytics teams, reporting platforms
CertificationsInformatica certifications, SQL certificationsNone specific, often data analysis or visualization certifications

The Etl Informatica Data Engineer focuses on building and maintaining data pipelines using Informatica tools, ensuring data is available for analysis. In contrast, Data Analysts interpret data to provide insights. While both roles require SQL skills, Data Engineers need expertise in ETL processes and data warehousing, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Etl Informatica Data Engineer job openings in McAllen, TX as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,287 per year, or $55.4 per hour.

Senior Database Reliability Engineer

Edinburg, TX โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 10 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.