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Azure Data Factory Jobs in Houston, TX (NOW HIRING)

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Top 3 Must Skills 1. 12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines. 2. Experience building ...

Azure Solution Architect with Data

Houston, TX · On-site

$60.50 - $79/hr

Required : • Azure Expertise Azure Synapse Analytics Azure Data Factory Azure Cognitive Services Azure Kubernetes Service AKS Azure Functions and Azure API Management • Full Stack Development ...

Data Solutions Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Data Engineer

Houston, TX · On-site

$100 - $140/hr

Design, build, and operate scalable batch and real‑time/streaming data pipelines on Databricks and Azure Data Factory, landing data in Azure Data Lake Storage (ADLS) and Snowflake * Implement the ...

ADF Data Engineer

La Porte, TX

$107K - $129K/yr

Strong hands-on experience with Azure Data Factory (ADF) -- pipelines, data flows, triggers, integration runtimes, parameterization, error handling, and retries. * Strong experience with Azure ...

Databricks Azure Consultant

Houston, TX · On-site

$52.50 - $65.25/hr

Experience with Azure Data Factory (ADF), Azure Synapse, or AWS Glue. * Knowledge of Machine Learning and MLOps on Databricks. * Experience with streaming technologies such as Kafka and Structured ...

Azure Data Factory or Azure Databricks * Delta Lake / Lakehouse architecture * Experience evaluating SaaS/ERP solutions before procurement. * Strong executive and stakeholder communication skills.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and Azure Data Factory, landing data in Azure Data Lake Storage (ADLS) and Snowflake * Implement the ...

ADF Data Engineer

Houston, TX

$109K - $131K/yr

Strong hands-on experience with Azure Data Factory (ADF) -- pipelines, data flows, triggers, integration runtimes, parameterization, error handling, and retries. * Strong experience with Azure ...

Data Engineer

Houston, TX · On-site

$80 - $110/hr

Design, build, and operate scalable batch and real‑time/streaming data pipelines on Databricks and Azure Data Factory, landing data in Azure Data Lake Storage (ADLS) and Snowflake * Implement the ...

ADF Data Engineer

Galena Park, TX · On-site

$97K - $116K/yr

Strong hands-on experience with Azure Data Factory (ADF) -- pipelines, data flows, triggers, integration runtimes, parameterization, error handling, and retries. * Strong experience with Azure ...

ADF Data Engineer

Friendswood, TX · On-site

$100K - $120K/yr

Strong hands-on experience with Azure Data Factory (ADF) -- pipelines, data flows, triggers, integration runtimes, parameterization, error handling, and retries. * Strong experience with Azure ...

ADF Data Engineer

Cloverleaf, TX · On-site

$98K - $118K/yr

Strong hands-on experience with Azure Data Factory (ADF) -- pipelines, data flows, triggers, integration runtimes, parameterization, error handling, and retries. * Strong experience with Azure ...

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Azure Data Factory information

See Houston, TX salary details

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How much do azure data factory jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for azure data factory in Houston, TX is $53.89, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $60.58 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are the most commonly searched types of Azure Data Factory jobs in Houston, TX?

The most popular types of Azure Data Factory jobs in Houston, TX are:

What are popular job titles related to Azure Data Factory jobs in Houston, TX?

For Azure Data Factory jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Azure Data Factory jobs in Houston, TX look for?

The top searched job categories for Azure Data Factory jobs in Houston, TX are:

What cities near Houston, TX are hiring for Azure Data Factory jobs?

Cities near Houston, TX with the most Azure Data Factory job openings:

Infographic showing various Azure Data Factory job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,088 per year, or $53.9 per hour.

Azure DataLake Engineer [remote]

SmartIPlace

Houston, TX • On-site

$52.50 - $65.25/hr

Contractor

Re-posted 10 days ago


Job description

Title: Azure Datalake Engineer

Desired Start Date: 2/9

Duration: 12 months or longer

Workplace: Remote

Visa: USC/GC/GC-EAD

Location: Houston, TX

Client: Fujitsu

Managing Technical Consultant Job Description:

The Azure Data Lake Engineer is responsible for designing, building, and maintaining scalable data ingestion, storage, and processing solutions on Microsoft Azure, primarily using Azure Data Lake Storage (ADLS), Azure Data Factory, and related services.

 

Top 3 Must Skills

1.                   12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines.

2.                   Experience building data ingestion frameworks, data validation workflows, and orchestration logic.

3.                   Integrate SAP ECC/S4 data into Azure Data Lake using ADF/Synapse pipelines for batch & delta loads.

 

Requirements

·Strong Expertise in DATA Azure data lake Azure Databricks, Azure SQL, Power BI

·Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data Environment

·Programming experience in Scala or Python, SQL Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks)

·Knowledge in PowerBI and Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW

·Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance Scale

·Proficient in a source code control system such as GIT

·Good knowledge or hands-on of DBT tool

·Excellent communication skills

·Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows

·Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.

·Experience with exposing data to end-users via Power BI, Azure API Apps.

·Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB

·Knowledge of Lambda and Kappa architecture patterns and Mastery of SQL

·Experience in turning business use cases and requirements into technical solutions

·Experience in business processing mapping of data and analytics solutions

·Experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies

·Experience driving knowledge transfer and/or training programs

·Experience with agile delivery methodologies, proof of concepts and prototyping

·Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOp

·Knowledge of Master Data Management (MDM) and Data Quality tools

·Experience in managing teams, being a technical coach

·Experience with preparing data for Data Science and Machine Learning purposes

Experience with Azure data, Machine Learning and Artificial Intelligence solutions


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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