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Etl Informatica Developer Jobs in Houston, TX (NOW HIRING)

Experience with ETL tool programming, debugging, maintenance, and monitoring. * Experience with Git ... Bachelor's degree in Data Analytics, Data Science, Information Systems or related fields. * Any ...

Creating ETL routines includes writing the code that creates the transformations and processes that ... Working with the IT Operations team and BI Vendor to resolve any production issues * Managing ...

Creating ETL routines includes writing the code that creates the transformations and processes that ... Working with the IT Operations team and BI Vendor to resolve any production issues * Managing ...

Senior Developer - SQL/ Oracle. * Requires candidate to be a US Citizen or GC holder. * Long term ... Python development experience with db libraries and interfaces to ETL data. * Experience with ...

Sr Software Engineer

Houston, TX · On-site

$112K - $148K/yr

NET technologies, extensive experience in designing and implementing ETL processes, and a solid ... Bachelor's degree in computer science, Information Systems, or related field. * 8-10 years of ...

Sr Software Engineer

Houston, TX · Remote

$117K - $154K/yr

NET technologies, extensive experience in designing and implementing ETL processes, and a solid ... Bachelor's degree in computer science, Information Systems, or related field. * 8-10 years of ...

Senior Data Engineer

Houston, TX · On-site

$98K - $134K/yr

Senior Data Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Build and maintain ETL pipelines to integrate and transform data across multiple systems using ...

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Etl Informatica Developer information

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$9

$55

$67

How much do etl informatica developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for etl informatica developer in Houston, TX is $55.69, according to ZipRecruiter salary data. Most workers in this role earn between $50.00 and $64.23 per hour, depending on experience, location, and employer.

What is the ETL?

ETL stands for Extract, Transform, Load and is a process used by ETL Informatica Developers to move data from source systems to target data warehouses. It involves extracting data from various sources, transforming it to meet business rules, and loading it into a database for analysis. Proficiency in tools like Informatica PowerCenter and understanding of data integration concepts are essential for this role.

What is an ETL Informatica Developer?

An ETL Informatica Developer is a professional who designs, develops, and maintains data integration solutions using Informatica tools. They are responsible for extracting data from various sources, transforming the data into a suitable format, and loading it into target systems such as data warehouses. Their role is critical in ensuring data quality, consistency, and reliability across enterprise systems. ETL Informatica Developers often work closely with data analysts, database administrators, and business stakeholders to support data-driven decision-making. They also troubleshoot and optimize ETL processes to enhance performance and efficiency.

What is the difference between Etl Informatica Developer vs Data Warehouse Developer?

AspectEtl Informatica DeveloperData Warehouse Developer
Primary FocusDesigning and implementing ETL processes using Informatica toolsDesigning, developing, and maintaining data warehouse architectures
Required SkillsInformatica PowerCenter, SQL, data modelingData modeling, SQL, ETL processes, data warehousing concepts
CertificationsInformatica certifications often preferredData warehousing certifications may be advantageous
Work EnvironmentTypically in BI or data integration teams within various industriesOften in analytics, BI, or data engineering teams across industries

While both roles involve working with data integration and warehousing, an Etl Informatica Developer specializes in creating ETL workflows using Informatica tools, whereas a Data Warehouse Developer focuses on designing and maintaining the overall data warehouse architecture. The roles often overlap but differ in scope and specific skill sets.

Will AI replace ETL?

AI is unlikely to fully replace ETL developers, as their role involves designing, managing, and troubleshooting complex data workflows that require domain expertise and problem-solving skills. Instead, AI tools can assist ETL developers by automating routine tasks and optimizing data processing, allowing them to focus on more strategic aspects of data integration and quality assurance.

What are the key skills and qualifications needed to thrive as an ETL Informatica Developer, and why are they important?

To thrive as an ETL Informatica Developer, you need strong skills in data warehousing, SQL, and ETL processes, typically supported by a degree in computer science or a related field. Proficiency with Informatica PowerCenter, relational databases, and experience with data integration tools and scripting languages are essential. Analytical thinking, problem-solving, and effective communication make someone stand out in this position. These skills ensure accurate, efficient data transformation and integration, which are critical for supporting business intelligence and analytics objectives.

What Does an ETL Informatica Developer Do?

An ETL Informatica developer is in charge of the complete development lifecycle of software that uses Informatica tools to store data. Your duties in this career are to design, configure, develop, and write code and implement programs while monitoring the integrity of the data you manage. Your responsibilities include integrating Informatica systems, working with extract transform load (ETL) systems, conducting business data analysis, writing technical design specifications, providing updates and maintenance, and troubleshooting and testing program issues. As an ETL Informatica developer, you also work with large databases, conduct data quality tests, check data security, and ensure all processes flow smoothly.

What does ETL mean?

ETL stands for Extract, Transform, Load, which are the three main steps in data integration processes used by ETL Informatica Developers. It involves extracting data from source systems, transforming it into a suitable format, and loading it into a target data warehouse or database. Proficiency in ETL tools like Informatica PowerCenter is essential for this role.

What is an ETL in SQL?

An ETL (Extract, Transform, Load) process in SQL involves extracting data from source systems, transforming it to fit business rules or improve data quality, and loading it into a target database or data warehouse. ETL developers often use SQL scripts and tools to automate these steps, ensuring efficient data integration for analytics and reporting.

What are some common challenges faced by ETL Informatica Developers during data integration projects?

ETL Informatica Developers often encounter challenges such as handling large volumes of data, ensuring data quality and consistency, and meeting tight project deadlines. They may also need to troubleshoot performance bottlenecks in ETL workflows and manage complex data transformations to meet business requirements. Collaboration with data analysts, database administrators, and business stakeholders is key to resolving issues quickly and delivering reliable data pipelines.
What are the most commonly searched types of Etl Informatica Developer jobs in Houston, TX? The most popular types of Etl Informatica Developer jobs in Houston, TX are:
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What cities near Houston, TX are hiring for Etl Informatica Developer jobs? Cities near Houston, TX with the most Etl Informatica Developer job openings:
Infographic showing various Etl Informatica Developer job openings in Houston, TX as of June 2026, with employment types broken down into 2% Internship, 62% Full Time, 26% Part Time, 2% Temporary, 6% Contract, and 2% Nights. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $115,833 per year, or $55.7 per hour.

Coordinator 2, Instructional Data Analytics & Product Strategy

Houston Independent School District

Houston, TX • On-site

$85K - $105K/yr

Full-time

Posted 4 days ago


Houston Independent School District rating

5.6

Company rating: 5.6 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

445th of 549 rated elementary and secondary schools


Job description

Location: Hattie Mae White
Department: Data Analysis & Operations
Area:District Wide
Contract Months:12
Salary Range: $85,000.00 - $105,000.00
Academic Year: 26-27
JOB SUMMARY
The Coordinator II - Instructional Data Analytics & Product Strategy is a lead analyst responsible for developing and maintaining instructional analytics, dashboards, reports, semantic models, and data workflows using Power BI, Microsoft Fabric, Power Query, SQL, and Excel. The role requires hands-on experience validating Lakehouse data, supporting dataflows and pipelines, troubleshooting refresh and data-quality issues, and collaborating with data engineering teams on ETL, data modeling, and source-system integration. This position partners with academic teams, vendors, technology staff, and district leaders to translate instructional programs, platform usage, assessment data, implementation fidelity, and student outcomes into accurate, scalable reporting frameworks while also supporting vendor analytics reviews, impact studies, metric definition, documentation, validation procedures, and stakeholder use of data to improve instructional planning and student outcomes.
MAJOR DUTIES & RESPONSIBILITIES
1. Design, build, validate, and maintain dashboards, reports, semantic models, and visualizations using Power BI, Microsoft Fabric, Excel, and related analytics tools.
2. Design and maintain governed ETL/ELT pipelines, Delta Lake tables, and Lakehouse ingestion workflows in Microsoft Fabric - spanning vendor SFTP/API integrations and audit-ready transformation logic - to ensure reliable, traceable data delivery across instructional analytics domains.
3. Transform, clean, validate, and analyze complex datasets using Power Query, SQL, Excel, Fabric, and related tools to support reporting accuracy, scalability, and usability.
4. Collaborate with technical analytics and engineering staff to support ETL processes, data pipelines, Lakehouse environments, semantic models, and backend table validation within Microsoft Fabric.
5. Partner with academic teams, vendors, and stakeholders to translate instructional program structures, platform behavior, assessment systems, and educational terminology into technically accurate reporting logic and analytics frameworks.
6. Analyze instructional platform usage, implementation fidelity, assessment performance, and student outcome data to support strategic planning, program monitoring, and instructional decision-making.
7. Review, validate, and interpret vendor-provided analytics, dashboards, and impact-study methodologies to ensure reporting accuracy, appropriate comparison structures, and meaningful interpretation of student outcomes.
MAJOR DUTIES & RESPONSIBILITIES CONTINUED
8. Develop and maintain reporting systems that integrate multiple data sources, including student information systems, assessment platforms, survey data, and instructional technology platforms.
9. Troubleshoot data discrepancies, conduct root-cause analysis, and resolve reporting or data integrity issues across systems and dashboards.
10. Support the development and operationalization of district reporting frameworks, metric definitions, validation procedures, and dashboard standards.
11. Develop guidance, documentation, and resources that help stakeholders interpret dashboard metrics, understand reporting limitations, and use data effectively to support instructional outcomes.
12. Facilitate cross-functional collaboration between academic teams, vendors, technology teams, and district leadership to improve analytics systems, reporting quality, and data-informed decision-making.
13. Provide technical guidance and support to staff regarding dashboards, reporting systems, analytics tools, and data best practices.
14. Stay current on emerging analytics technologies, data visualization practices, instructional technology systems, and educational data methodologies.
15. Perform other job-related duties as assigned.
EDUCATION
Bachelor's degree required. Preferred degree areas include: Data Analytics, Data Science, Statistics, Information Systems, Computer Science, Mathematics, Engineering, Business Analytics, Educational Data Science, Instructional Technology, or a related analytical or technical field. Experience working within K-12 education systems, instructional programs, educational technology, or curriculum environments strongly preferred.
WORK EXPERIENCE
Minimum of 4-6 years of experience in data analytics, business intelligence, instructional analytics, educational technology systems, or related analytical roles.
Preferred experience includes:
• Building and validating dashboards and reporting systems using Power BI and/or Microsoft Fabric
• Data transformation and modeling using Power Query, SQL, Excel, and related tools
• Supporting or collaborating on ETL processes, data pipelines, semantic models, or analytics infrastructure
• Educational data analysis, digital resource reporting, or instructional analytics
• Statistical analysis, evaluation methodologies, or impact-study interpretation
• Reviewing and validating vendor-provided reports, analytics, or reporting methodologies
• Working cross-functionally with academic teams, technical teams, vendors, and leadership stakeholders
• Experience within K-12 education, educational technology, or instructional program environments strongly preferred
SKILL AND/OR REQUIRED LICENSING/CERTIFICATION
• Advanced analytical and problem-solving skills with the ability to interpret complex datasets and identify meaningful trends
• Proficiency in Power BI, Microsoft Fabric, Excel, and data visualization/reporting tools
• Strong working knowledge of Power Query, SQL, and/or data transformation tools
• Ability to design, validate, and troubleshoot dashboards, reporting systems, and analytics workflows
• Understanding of data validation, data quality, governance, and reporting accuracy practices
• Familiarity with statistical analysis, evaluation methodologies, and/or impact-analysis interpretation
• Ability to translate instructional systems, educational terminology, and platform behavior into accurate analytics frameworks and reporting logic
• Ability to communicate technical analytics clearly to non-technical and instructional stakeholders
• Strong organizational, documentation, and project management skills
• Ability to independently manage multiple complex projects and priorities in evolving environments
LEADERSHIP RESPONSIBILITIES
Provides technical leadership and analytical guidance across cross-functional teams supporting instructional analytics, digital resource reporting, dashboard development, and data-informed decision-making initiatives. May provide mentorship and technical support to analysts or project teams.
WORK COMPLEXITY/INDEPENDENT JUDGMENT
Work is substantially complex and requires independent judgment in designing analytics solutions, interpreting instructional data systems, validating reporting structures, and resolving ambiguous or evolving data challenges. Position regularly evaluates complex reporting needs, vendor methodologies, and instructional analytics frameworks to develop scalable solutions supporting district decision-making.
BUDGET AUTHORITY
No budget authority.
PROBLEM SOLVING
Position is expected to independently identify reporting gaps, validate data accuracy, improve analytics workflows, troubleshoot complex reporting issues, and recommend scalable solutions that strengthen instructional analytics, dashboard usability, and data-informed decision-making.
IMPACT OF DECISIONS
Decisions directly impact the accuracy, reliability, and interpretation of district instructional analytics, digital resource reporting, and dashboard systems used by district leadership, academic teams, and campuses. Errors may result in inaccurate reporting, flawed program interpretation, or ineffective instructional decision-making.
COMMUNICATION/INTERACTIONS
Collaborates regularly with district leadership, academic teams, vendors, technology staff, data teams, and campus stakeholders to interpret data, troubleshoot reporting issues, validate analytics outputs, and support effective use of instructional analytics systems.
CUSTOMER RELATIONSHIPS
Provides advanced analytical support and responsive problem-solving to stakeholders using district dashboards, reporting systems, and instructional analytics tools. Supports resolution of complex reporting, interpretation, and data integrity issues.
WORKING/ENVIRONMENTAL CONDITIONS
Typical office environment with regular use of computer-based analytics, reporting, and instructional technology systems. Ability to lift up to 15 pounds.
Houston Independent School District is an equal opportunity employer.

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