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Azure Data Factory Developer Jobs in Texas (NOW HIRING)

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB. * Data Pipeline and ETL/ELT ... Cloud & DevOps : * Strong understanding of Azure cloud services and architecture. * Familiarity ...

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake/Blob Storage, and Azure DevOps. * Strong development/scripting experience with Python, Spark, and SQL. * Experience ...

Senior Data Engineer - Power BI, Power Automate, Snowflake & Python Specialist Looking for a v ... Design and implement hybrid data pipelines across Azure Data Factory, Synapse, Databricks ...

Senior Software Engineer, Data Warehousing

Irving, TX · On-site

$117K - $155K/yr

This role requires deep expertise in Azure Data Factory, strong SQL engineering skills, and experience working with both structured and semi-structured data, including JSON. The engineer will also ...

New

Senior Data Engineer

Irving, TX · On-site

$114K - $140K/yr

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 ...

PCA Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

PCA Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

PCA Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

... Factory , Azure Data Lake , and Azure SQL Database/Data Warehouse ) to support analytics ... Experience with DevOps and ALM for Power Platform, Fabric, and Azure resources (e.g., Azure DevOps ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience building automations with Azure Function Apps, Azure Data Factory, Power Automate, or Azure Logic Apps * AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft ...

You will drive data engineering best practices, architect scalable Lakehouse solutions, mentor team ... Experience with Azure Data Factory (ADF) , Azure Data Lake Storage (ADLS) , Azure Synapse Analytics ...

Senior AI Developer w/MS Fabric Bravotech, a leader in IT staffing and staff augmentation services ... Azure Data Factory (ADF) * Python * AI/ML Deployment & MLOps * Kubernetes / AKS * GPU Workloads

Senior SQL Developer Location: Houston, TX Job Summary We are seeking a Senior SQL Developer with ... Build, manage, and support Azure SQL Database, Azure Synapse Analytics, and Azure Data Factory ...

Showing results 41-60

Azure Data Factory Developer information

What is an Azure Data Factory Developer?

An Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration pipelines using Azure Data Factory. They work with various data sources to extract, transform, and load (ETL) data into cloud-based storage or databases. Their role involves optimizing data workflows, ensuring data accuracy, and troubleshooting performance issues. They collaborate with data engineers, analysts, and business stakeholders to support data-driven decision-making and automation.

What does an Azure Data Factory Developer do?

As an Azure Data Factory Developer, your typical day involves designing, developing, and managing data pipelines and workflows to support business data needs. You will work closely with Data Engineers, BI Developers, and business analysts to gather requirements, troubleshoot issues, and ensure data accuracy and reliability. Additional tasks include performance tuning, scheduling data jobs, monitoring data processes, and implementing data security best practices. This collaborative and dynamic role is essential for ensuring that accurate and timely data is available across the organization, supporting decision-making and business analysis.

What are the key skills and qualifications needed to thrive as an Azure Data Factory Developer?

To thrive as an Azure Data Factory Developer, you need strong expertise in ETL processes, data integration, and a solid grounding in SQL and cloud data platforms, typically supported by a degree in computer science or a related field. Familiarity with Azure services, especially Data Factory, Azure SQL Database, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Excellent problem-solving skills, collaboration, and clear communication set top performers apart in this field. These skills and qualifications enable developers to efficiently build, maintain, and optimize data pipelines that are critical to the organization's data strategy.

What are the most commonly searched types of Azure Data Factory Developer jobs in Texas?

The most popular types of Azure Data Factory Developer jobs in Texas are:

What are popular job titles related to Azure Data Factory Developer jobs in Texas?

For Azure Data Factory Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Azure Data Factory Developer jobs in Texas look for?

The top searched job categories for Azure Data Factory Developer jobs in Texas are:

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Cities in Texas with the most Azure Data Factory Developer job openings:

Infographic showing various Azure Data Factory Developer job openings in Texas as of August 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Azure Databricks Engineer

CEDENT

Dallas, TX

$59.25 - $77.25/hr

Full-time

Re-posted 21 days ago


Job description

Key Responsibilities:
  • Azure Databricks Architecture & Design:
    • Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks.
    • Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage).
    • Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting.
  • Data Engineering & Integration:
    • Design and implement ETL/ELT processes to ingest, process, and transform data across various sources (structured and unstructured).
    • Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and develop data solutions.
    • Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL, Synapse, etc.
  • Optimization & Performance Tuning:
    • Identify performance bottlenecks in Databricks environments and optimize clusters, queries, and code.
    • Continuously improve and scale data pipelines to accommodate growing data volumes and business needs.
  • Collaboration & Leadership:
    • Mentor and guide junior engineers and team members in best practices related to Azure Databricks and data engineering.
    • Work closely with cross-functional teams (data science, analytics, business intelligence) to deliver integrated solutions.
    • Provide technical leadership in cloud data architecture and data engineering.
  • Monitoring & Security:
    • Implement monitoring and alerting systems to ensure data pipelines and workflows are running smoothly.
    • Ensure compliance with data security and governance standards across the data ecosystem.
  • Continuous Improvement & Innovation:
    • Stay up to date with the latest advancements in Azure Databricks, cloud technologies, and data engineering trends.
    • Continuously evaluate and introduce new technologies and methodologies to enhance the data platform.

Required Skills and Qualifications:
  • Experience:

    • Minimum 10 years of hands-on experience in data engineering and cloud-based data platforms.
    • At least 5 years of experience working with Azure Databricks, building data pipelines, and performing data engineering tasks.
    • Strong experience with Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, etc.
  • Technical Skills:

    • Proficiency in Spark, PySpark, Scala, or SQL for large-scale data processing.
    • Expertise in Databricks notebooks, clusters, job scheduling, and libraries.
    • Deep understanding of cloud-native data engineering practices and architecture on Azure.
    • Familiarity with data modeling, data lakes, and data warehouse concepts.
    • Expertise in Azure services: Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB.
  • Data Pipeline and ETL/ELT Development:

    • Experience building and optimizing ETL/ELT workflows on Databricks.
    • Knowledge of data orchestration tools such as Azure Data Factory, Apache Airflow, or similar.
  • Big Data Technologies:

    • Proficiency in handling large-scale distributed data processing with tools like Apache Spark.
    • Experience with technologies such as Kafka, Delta Lake, and Databricks Runtime.
    • Strong understanding of Delta Lake and Lakehouse architecture.
  • Programming Languages:

    • Strong programming skills in Python, Scala, or Java.
    • Experience with SQL-based querying and optimizations.
  • Cloud & DevOps:

    • Strong understanding of Azure cloud services and architecture.
    • Familiarity with DevOps principles, CI/CD pipelines, and automation tools. Terraform required.
    • Knowledge of Git, Azure DevOps, or similar version control and deployment systems.
  • Collaboration & Leadership:

    • Excellent communication skills to work with both technical and non-technical stakeholders.
    • Proven track record of mentoring and leading teams of data engineers.
    • Experience managing complex projects and working with cross-functional teams.

Preferred Qualifications:
  • Certifications:

    • Microsoft Certified: Azure Data Engineer Associate or equivalent certification.
    • Databricks Certified Associate Developer for Apache Spark.
  • Education:

    • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Cedent logo

About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008