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Entry Level Microsoft Data Engineer Jobs in Houston, TX

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Fujitsu Managing Technical Consultant The Azure Data Lake Engineer is responsible for designing, building, and maintaining scalable data ingestion, storage, and processing solutions on Microsoft ...

This role partners closely with Data Engineering on data pipelines and warehouse structures, and ... Excellent skills in Microsoft Office, in particular Excel (formulas, data capture and pivot tables ...

This role partners closely with Data Engineering on data pipelines and warehouse structures, and ... Excellent skills in Microsoft Office, in particular Excel (formulas, data capture and pivot tables ...

This role partners closely with Data Engineering on data pipelines and warehouse structures, and ... Excellent skills in Microsoft Office, in particular Excel (formulas, data capture and pivot tables ...

This role partners closely with Data Engineering on data pipelines and warehouse structures, and ... Excellent skills in Microsoft Office, in particular Excel (formulas, data capture and pivot tables ...

The Data Foundation and Modernization Department accelerates AI and data capabilities and is ... Experience developing cloud first solutions using Microsoft Azure Services * Experience building ...

This is an entry-level position and is based out of Houston, TX. Your role * Assist in the planning ... Support project teams with data collection, analysis, and preparation of design documents, cost ...

AI Engineer

Houston, TX · On-site

$93K - $127K/yr

The Data Foundation and Modernization Department accelerates AI and data capabilities and is ... Design and develop agentic solutions leveraging Microsoft Foundry and Azure Cognitive Services.

Structural Engineer

Houston, TX · On-site

$65K - $85K/yr

This is an entry-level position and is based out of Houston, TX. Your role * Assist in the planning ... Support project teams with data collection, analysis, and preparation of design documents, cost ...

Perform ad hoc engineering and data analysis as requested. * Develop, deliver, and sustain ... Intermediate Microsoft Office skills, including Outlook, Word, and Excel. * Basic SQL knowledge.

Perform ad hoc engineering and data analysis as requested. * Develop, deliver, and sustain ... Intermediate Microsoft Office skills, including Outlook, Word, and Excel. * Basic SQL knowledge.

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Data Entry Clerk

Humble, TX · On-site

$19 - $20/hr

Data Entry Clerk (Entry Level) Assisting with data entry for our main corporate office, including ... Proficient computer skills, including Microsoft Office; QuickBooks experience a plus * Developed ...

Showing results 21-40

Entry Level Microsoft Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do entry level microsoft data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level microsoft data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What does an entry level Microsoft data engineer do?

An Entry Level Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. Their role typically involves collecting, transforming, and loading (ETL) data from various sources to enable data analysis and reporting. They work closely with other IT professionals to ensure data integrity, performance, and security while learning best practices in data engineering. This position is ideal for those starting their careers in data engineering and looking to develop expertise in Microsoft's data ecosystem.

What are the key skills and qualifications needed to thrive as an entry level Microsoft data engineer?

To thrive as an Entry Level Microsoft Data Engineer, you need foundational knowledge of SQL, data modeling, and a relevant degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and possibly certifications like Microsoft Certified: Azure Data Engineer Associate are typically expected. Strong analytical thinking, attention to detail, and effective communication help you stand out when collaborating with teams and translating data requirements. These skills are crucial for ensuring reliable data pipelines, facilitating data-driven decisions, and supporting organizational growth.

What are some common challenges faced by entry level Microsoft data engineers when working with large datasets?

Entry-level Microsoft Data Engineers often encounter challenges such as ensuring data integrity during extraction, transformation, and loading (ETL) processes, especially when dealing with large or complex datasets in Azure environments. Optimizing query performance and managing resource costs can also be difficult for those new to cloud-based data solutions. However, these challenges are excellent learning opportunities, as they encourage developing strong troubleshooting skills and familiarity with tools like Azure Data Factory, SQL Server, and Power BI. Support from more experienced team members and access to structured onboarding programs can help new hires quickly become proficient and confident in their daily responsibilities.

What is the difference between Entry Level Microsoft Data Engineer vs Data Analyst?

AspectEntry Level Microsoft Data EngineerData Analyst
Required CredentialsMicrosoft certifications, SQL, basic cloud knowledgeExcel, SQL, data visualization tools
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with data infrastructure needsMarketing, retail, finance for insights and reporting

Both roles often require SQL and basic data skills, but Data Engineers focus on building data systems and pipelines, while Data Analysts interpret data and create reports. Entry Level Microsoft Data Engineers typically work more with cloud platforms and data infrastructure, whereas Data Analysts focus on data visualization and insights. The roles are complementary but differ in technical depth and focus areas.

What are the most commonly searched types of Microsoft Data Engineer jobs in Houston, TX?

The most popular types of Microsoft Data Engineer jobs in Houston, TX are:

What are popular job titles related to Entry Level Microsoft Data Engineer jobs in Houston, TX?

For Entry Level Microsoft Data Engineer jobs in Houston, TX, the most frequently searched job titles are:

What cities near Houston, TX are hiring for Entry Level Microsoft Data Engineer jobs?

Cities near Houston, TX with the most Entry Level Microsoft Data Engineer job openings:

Infographic showing various Entry Level Microsoft Data Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Azure DataLake Engineer [remote]

SmartIPlace

Houston, TX • On-site

$52.50 - $65.25/hr

Contractor

Re-posted 22 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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