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Senior Data Integration Developer Jobs in Denton, TX

Expert Technical Solutions

Data Warehouse Developer

Irving, TX · On-site

$47.25 - $64.75/hr

Senior Data Warehouse Engineer Location: Irving, TX (Onsite 5 Days/Week) Employment Type: Contract ... Develop data integration solutions leveraging REST APIs, sFTP-based workflows, and other external ...

Argyllinfotech

Senior Data Engineer

Dallas, TX · On-site

$55/hr

Senior Data Engineer (AWS-based solutions, Kafka integrations, and data pipelines), Python + Java, Payment integrity Location - Dallas, TX and San Ramon , CA and New York city , NY (Remote option is ...

New

Genius Road, LLC

MuleSoft Integration Developer

Plano, TX · On-site

$48.25 - $64.25/hr

MuleSoft Integration Developer Contract Position: 6 months (Contract-to-Hire) Location: Plano ... Experience integrating across cloud and on-premises environments, with data transformation using ...

Scotiabank

Senior Data Developer

Dallas, TX · On-site

Purpose SGWM is seeking a Senior Developer to join the Investment Data Hub team, taking a lead ... integrations, and platform configurations that form the backbone of centralized investment data ...

Lereta Llc

Senior Data Engineer

Irving, TX · On-site

$114.28 - $140/hr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow, and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

Scotiabank

Senior Data Developer

Dallas, TX · On-site

Purpose SGWM is seeking a Senior Developer to join the Investment Data Hub team, taking a lead ... integrations, and platform configurations that form the backbone of centralized investment data ...

Maverick Power

MCP/Integration Developer

Plano, TX · On-site

$48 - $64/hr

Build the standardized integration pattern (auth, data mapping, error handling) that lets every ... Comfortable operating in a small, senior, fast-moving team with significant ownership.

Snowrelic Inc

Oracle Data Integration (W2)

Dallas, TX · On-site

Oracle Data Integration Location: Dallas, TX JD: Please submit only candidates who are authorized to work in the United States. * Only applicants who are currently local to Dallas Texas or are ...

Maverick Power

MCP/Integration Developer

Plano, TX · On-site

$48.50 - $64.25/hr

Build the standardized integration pattern (auth, data mapping, error handling) that lets every ... Comfortable operating in a small, senior, fast-moving team with significant ownership.

Maverick Power

MCP/Integration Developer

Plano, TX · On-site

$110 - $150/hr

Build the standardized integration pattern (auth, data mapping, error handling) that lets every ... Comfortable operating in a small, senior, fast-moving team with significant ownership.

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How much do senior data integration developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for senior data integration developer in Denton, TX is $57.57, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $63.99 per hour, depending on experience, location, and employer.

What is a senior data integration developer?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

What are the key skills and qualifications needed to thrive as a senior data integration developer?

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.

What are some common challenges senior data integration developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What are popular job titles related to Senior Data Integration Developer jobs in Denton, TX?

For Senior Data Integration Developer jobs in Denton, TX, the most frequently searched job titles are:

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Cities near Denton, TX with the most Senior Data Integration Developer job openings:

Senior Data Integration Developer jobs near you

Data Warehouse Developer

Expert Technical Solutions

Irving, TX • On-site

$47.25 - $64.75/hr

Contractor

Re-posted 15 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Data Factory.

  • Build and optimize enterprise data warehouse solutions supporting operational reporting and analytics.

  • Design and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.

Job description

Senior Data Warehouse Engineer
Location: Irving, TX (Onsite 5 Days/Week)
Employment Type: Contract-to-Hire (4–6 Months)
Work Authorization: Must be authorized to work in the U.S. without sponsorship
Position Overview
Our client is a Fortune 500 Insurance company seeking a highly technical Senior Data Warehouse Engineer to help modernize and scale a large enterprise data environment supporting critical operational and supply chain functions. This individual will play a key role in designing and implementing a long-term data strategy that reduces reliance on transactional systems while improving data availability, reporting performance, and scalability.
The ideal candidate will have deep expertise across Oracle, SQL Server/Azure SQL, Snowflake, and Azure Data Factory, with the ability to architect efficient data movement and transformation processes for large, complex datasets. This role requires someone who can move beyond simply building pipelines and instead understand source system architecture, optimize data structures, and design scalable warehouse solutions capable of supporting enterprise analytics and reporting.
This is a hands-on engineering position for someone who enjoys solving complex data challenges, optimizing performance, and building modern data platforms that support long-term business growth.
Key Technologies
  • Azure Data Factory (ADF)
  • Azure SQL Database / SQL Server
  • Oracle PL/SQL
  • Snowflake
  • JSON Data Processing
  • REST APIs
  • Data Warehousing
  • Data Modeling
  • Power BI
Primary Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory.
  • Build and optimize enterprise data warehouse solutions supporting operational reporting and analytics.
  • Design and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.
  • Extract, transform, and load data from large-scale Oracle environments into Azure SQL and Snowflake platforms.
  • Analyze complex source systems and identify optimal approaches for data extraction, transformation, and storage.
  • Design and maintain dimensional data models, including star and snowflake schemas.
  • Transform semi-structured data, including complex JSON payloads, into consumable relational datasets.
  • Develop data integration solutions leveraging REST APIs, sFTP-based workflows, and other external data sources.
  • Improve query performance through indexing strategies, partitioning, optimization, and database tuning.
  • Establish data engineering standards, best practices, naming conventions, and architectural guidelines.
  • Collaborate closely with business intelligence and reporting teams to ensure data accuracy, consistency, and performance.
  • Troubleshoot and resolve issues across ingestion, transformation, storage, and reporting layers.
  • Mentor team members and provide technical leadership on data engineering best practices.
Required Qualifications
  • 8+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
  • Advanced SQL expertise across Oracle, SQL Server/Azure SQL, and Snowflake.
  • Strong hands-on experience developing and supporting Azure Data Factory solutions.
  • Demonstrated experience working within large-scale enterprise data environments.
  • Deep understanding of incremental data processing methodologies, including UPSERT and MERGE patterns.
  • Strong Oracle PL/SQL development experience.
  • Experience designing and optimizing large-scale relational databases.
  • Proven ability to tune complex SQL queries and optimize database performance.
  • Experience working with JSON and other semi-structured data formats.
  • Experience integrating data from ERP systems, operational platforms, APIs, and external file-based sources.
  • Strong understanding of dimensional modeling concepts and enterprise data warehouse design.
  • Ability to evaluate source system structures and design efficient downstream data architectures.
Preferred Qualifications
  • Experience supporting supply chain, logistics, manufacturing, or operational data environments.
  • Experience working with large ERP platforms such as Oracle EBS or similar enterprise systems.
  • Experience implementing enterprise data modernization initiatives.
  • Exposure to Power BI and enterprise reporting solutions.
  • Experience with data governance, data quality, and master data management initiatives.
What Success Looks Like
  • Reduce reporting dependency on transactional production systems.
  • Improve reporting reliability and performance through optimized warehouse architecture.
  • Implement scalable incremental data ingestion and synchronization processes.
  • Create sustainable, maintainable data structures that support long-term business growth.
  • Establish engineering best practices that improve efficiency, consistency, and scalability across the data platform.