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Microsoft Data Engineer Jobs in Houston, TX (NOW HIRING)

Invesco

Microsoft 365 Engineer

Houston, TX · On-site

Configure, implement, and maintain Microsoft Purview Data Loss Prevention policies across Exchange ... Collaborate with peers on the engineering team to share knowledge on Microsoft 365 administration ...

Invesco

Microsoft 365 Engineer

Houston, TX · Hybrid

Configure, implement, and maintain Microsoft Purview Data Loss Prevention policies across Exchange ... Collaborate with peers on the engineering team to share knowledge on Microsoft 365 administration ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its ... Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ...

Scadea

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Azure Data Engineer Associate (DP-203) o Microsoft Azure Fundamentals (AZ-900) or equivalent foundational Azure knowledge is required at a minimum.' * Alteryx Conversion: Familiarity with Alteryx ...

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

Hands-on experience with a modern cloud data platform / lake house (Databricks, Microsoft Fabric ... Strong Python skills for data engineering, including PySpark. * Working knowledge of data quality ...

Beusa Energy Group

Data Engineer III

The Woodlands, TX · On-site

$104K - $125K/yr

Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ... Advanced SQL development skills with experience in relational database platforms (Microsoft SQL ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX

$104K - $125K/yr

Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ... Advanced SQL skills and experience with relational databases (Microsoft SQL Server preferred)

Fracht USA

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

This is a full-stack data-engineering role spanning the complete Microsoft Fabric medallion architecture (Bronze, Silver, Gold, and Warehouse), covering source-system ingestion and Spark and PySpark ...

Archrock

Dynamics Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are seeking experienced Developer with strong knowledge of Microsoft Dynamics 365 (Field Service ... Good analytical and problem-solving skills to interpret complex data and user feedback for data ...

Pwc

Data Engineer - Senior Manager

Houston, TX

$124K - $280K/yr

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows ... Preferred : • Microsoft Certified: Azure AI Engineer Associate (Optional but valuable) • AI-102:

Net Orbit

Azure Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card ... Microsoft) * Work with client arch to close on design etc. *The Manager level will require more ...

Quanex Building Products

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Microsoft Fabric, Azure Data Factory, or similar tools. * Familiarity with ERP ...

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Microsoft Fabric, Azure Data Factory, or similar tools. * Familiarity with ERP ...

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Microsoft Data Engineer information

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How much do microsoft data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for microsoft data engineer in Houston, TX is $118,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

What is a Microsoft data engineer?

A 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. They work with large datasets, implement data pipelines, and optimize database performance to support business intelligence and analytics. Their role often involves ensuring data quality, security, and scalability while collaborating with data analysts and developers.

What are the typical day-to-day responsibilities of a Microsoft data engineer?

As a Microsoft Data Engineer, your daily tasks usually involve designing, building, and managing data pipelines using Microsoft Azure and SQL Server technologies. You'll collaborate closely with data analysts, business stakeholders, and software engineers to ensure data is accessible, accurate, and optimized for reporting and analytics needs. Regular activities may include developing ETL processes, troubleshooting data issues, maintaining data security, and optimizing performance. This role often provides a dynamic work environment with opportunities to work on cross-functional projects and continually adopt new Microsoft data tools as they evolve.

What are the key skills and qualifications needed to thrive in the Microsoft data engineer position, and why are they important?

Microsoft Data Engineers require a solid understanding of data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, communication skills, and attention to detail set top candidates apart. Mastery of these skills ensures the efficient design, development, and maintenance of scalable data solutions within complex business environments.

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:

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

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Microsoft Data Engineer jobs near you
Infographic showing various Microsoft Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Data Architect, AI and Data Practice

Houston, TX • On-site

Indigo Beam Consulting
IT Services • 51 - 200 employees
Learn more about Indigo Beam Consultingexternal

$61 - $78.25/hr

Full-time

Posted 6 days ago

Job description


Overview
This is a dual mandate role at the ground floor of our combined AI and Data practice.
From day one you will be hands on and billable on classic data work: reporting, dashboards and data warehouse engagements for mid-market clients. As our AI offerings expand, the same role grows into the technical half of our semantic delivery pair: building the semantic models, business ontologies and governed data foundations that make AI agents trustworthy, alongside a senior functional consultant who runs the business workshops.
You should want both halves. The reporting and warehouse work is not a holding pattern; it is where client trust and the follow-on AI work come from.
What you will do first
• Design and build data warehouse and lakehouse solutions: dimensional modeling, ELT pipelines, performance tuning.
• Deliver reporting and BI: Power BI datasets, DAX, tabular semantic models, report and dashboard development.
• Work directly with client stakeholders to turn loosely stated reporting needs into governed, documented models.
• Own engagements end to end on small teams: architecture through hands-on build through handover.
Where the role grows
• Build agent-ready semantic layers: Microsoft Fabric semantic models and Fabric IQ ontologies (entities, relationships, rules) grounded in definitions agreed with the business.
• Carry governance through to agents with Microsoft Purview and Entra ID: sensitivity labels, permissions and row level security that agents inherit.
• Stand up and validate data agents (Fabric data agents, Copilot Studio) against eval suites of known-correct business questions.
• Help shape reusable method and accelerators as we productize these offerings.
Requirements
• At least 15 years of industry experience, including at least 10 years in data and analytics and at least 10 years in consulting or client delivery roles.
• Current Microsoft data platform certifications, at minimum DP-600 (Fabric Analytics Engineer) or PL-300 (Power BI Data Analyst); DP-700 (Fabric Data Engineer) is a plus. These also count toward our Microsoft partner designations.
• Strong SQL and dimensional modeling fundamentals, with production data warehouse delivery experience.
• Deep Power BI: DAX, tabular model design, workspace governance, deployment practices.
• Microsoft data platform experience: Fabric or Synapse, Azure Data Factory or equivalent pipeline tooling, OneLake or lakehouse patterns.
• Experience outside the Microsoft stack, because our clients run mixed estates. Meaningful exposure to at least one of: Snowflake, Databricks, Oracle, AWS analytics services (Redshift, Glue, S3), or dbt.
• Consulting temperament: comfortable in front of clients, able to run a working session, write things down, and manage more than one engagement at a time.
Nice to have
• Fabric IQ, semantic layer tooling (dbt Semantic Layer, Cube, AtScale), or knowledge graph and ontology experience.
• Exposure to AI agent tooling: Copilot Studio, Azure AI Foundry, MCP, or LLM evaluation practices.
• Esri ArcGIS or GIS data experience, given our geospatial practice.
Why this role?
You join at the start of a practice, not the middle of one. The path from this seat is toward the lead semantic architect role as the AI offerings scale, with direct influence on how the offerings, accelerators and standards get built. Small senior teams, no delivery pyramid, and clients who deal with the person doing the work.

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