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Analytics Engineer Jobs in Katy, TX (NOW HIRING)

Indigo Beam Consulting

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

ANALYTICS ENGINEER Location: Houston, TX Employment Type: Full-Time Work Model: Hybrid - Onsite 4 days per week Reports To: Sr. Manager, Data & Analytics ABOUT THE ROLE We are seeking an Analytics ...

ResolveTech Solutions Inc.

Data Analytics Engineer

Spring, TX · On-site

$96K - $116K/yr

Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be located within 40 miles of Spring, TX We're looking for a highly experienced Data/Analytics Engineer with 10 ...

National Trench Safety, Inc

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

The Analytics Engineer will own the layer between raw data and finished reporting, combining SQL data modeling with Power BI semantic models and dashboards. This hybrid role partners with the Sr. ...

DEXTER TECHNOLOGIES INC

Data Analytics Engineer

Houston, TX · On-site

$130K - $140K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your ...

Dexter Technologies, Inc.

Be Seen First

Analytics Engineer - Direct Hire

Houston, TX · On-site

$120K - $145K/yr

Analytics Engineer Location: Houston, TX Type: Full-time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your time writing and ...

Dexter Technologies, Inc.

Be Seen First

Analytics Engineer - Direct Hire

Houston, TX · On-site

$120K - $145K/yr

Analytics Engineer Location: Houston, TX Type: Full-time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your time writing and ...

The Harris Center

Analytics Developer

Houston, TX

The Analytics Developer applies technical knowledge to assigned analytics projects, collaborates with the data and analytics team on implementation, and contributes to the quality and accuracy of ...

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Analytics Engineer information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Katy, TX?

The most popular types of Analytics Engineer jobs in Katy, TX are:

What are popular job titles related to Analytics Engineer jobs in Katy, TX?

For Analytics Engineer jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Katy, TX look for?

The top searched job categories for Analytics Engineer jobs in Katy, TX are:

What cities near Katy, TX are hiring for Analytics Engineer jobs?

Cities near Katy, TX with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Katy, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Analytics Engineer

Indigo Beam Consulting

Houston, TX • On-site

$99K - $118K/yr

Full-time

Retirement

Posted 12 days ago

Job description


ANALYTICS ENGINEER
Location: Houston, TX
Employment Type: Full-Time
Work Model: Hybrid - Onsite 4 days per week
Reports To: Sr. Manager, Data & Analytics
ABOUT THE ROLE
We are seeking an Analytics Engineer to join our Data & Analytics team and play a key role in designing, developing, and maintaining our enterprise data platform. This position combines strong SQL development, data engineering, data warehousing, semantic modeling, and analytics expertise to ensure reliable, scalable, and high-quality data is available to business users and analytics teams.
The Analytics Engineer will support the Sr. Manager, Data & Analytics by executing the hands-on technical work required to maintain, optimize, and continuously evolve the enterprise data platform. The ideal candidate is comfortable working across the data stack-from ETL/ELT pipelines and data warehouses to semantic models and certified datasets-and has a strong focus on data quality, performance, reliability, and maintainability.
KEY RESPONSIBILITIES
Data Engineering & Data Platform Development
  • Design, develop, and maintain enterprise data warehouse structures, tables, views, and related data assets
  • Develop efficient and scalable SQL queries, stored procedures, transformations, and data models
  • Build and maintain ETL/ELT processes that integrate data from multiple enterprise sources
  • Develop and support data pipelines using Azure Data Factory
  • Monitor data pipelines and proactively identify, troubleshoot, and resolve failures and data processing issues
  • Implement appropriate error handling, logging, alerting, and recovery processes
  • Support the ongoing enhancement and evolution of the enterprise data platform
Analytics & Semantic Modeling
  • Design and maintain semantic models that enable consistent, trusted, and user-friendly access to enterprise data
  • Develop and maintain certified datasets for reporting, analytics, and business intelligence
  • Translate business and analytical requirements into scalable data models and technical solutions
  • Establish consistent definitions, relationships, calculations, and business logic across analytical datasets
  • Partner with data analysts, BI developers, and business stakeholders to ensure data solutions meet reporting and analytical needs
Data Quality & Performance
  • Develop and automate data quality checks, validation processes, and monitoring capabilities
  • Identify data quality issues and work with appropriate teams to determine root causes and implement solutions
  • Optimize SQL queries, data models, and pipelines to improve performance and scalability
  • Perform platform performance tuning and identify opportunities to improve reliability and efficiency
  • Monitor overall data platform health and contribute to performance and capacity improvements
Documentation & Best Practices
  • Create and maintain technical documentation for data models, pipelines, transformations, processes, and data definitions
  • Establish and follow standards for SQL development, data modeling, pipeline development, and data quality
  • Contribute to data engineering best practices, development standards, and platform governance
  • Participate in code reviews and provide recommendations to improve the quality, maintainability, and performance of data solutions

Requirements
REQUIRED QUALIFICATIONS
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent professional experience
  • 3+ years of experience in analytics engineering, data engineering, business intelligence, data warehousing, or a related discipline
  • Strong hands-on experience with SQL and relational databases
  • Experience designing and developing data warehouse solutions
  • Experience developing and supporting ETL/ELT pipelines
  • Experience with Azure Data Factory or a similar cloud-based data integration platform
  • Strong understanding of data modeling, including dimensional modeling and analytical data structures
  • Experience developing semantic models and curated/certified datasets
  • Experience troubleshooting data pipelines, identifying root causes, and resolving data issues
  • Understanding of data quality, validation, monitoring, and automated testing concepts
  • Strong analytical and problem-solving skills
  • Ability to document technical solutions clearly and effectively
PREFERRED QUALIFICATIONS
  • Experience working within the Microsoft Azure data and analytics ecosystem
  • Experience with Power BI or similar business intelligence platforms
  • Experience with Azure SQL, SQL Server, Azure Synapse Analytics, Microsoft Fabric, or similar data platforms
  • Experience with source control and collaborative development practices such as Git
  • Experience with CI/CD and deployment processes for data solutions
  • Knowledge of data governance, metadata management, and enterprise data standards
  • Experience optimizing large-scale SQL queries and data warehouse workloads
  • Familiarity with automated data quality and pipeline monitoring frameworks
  • Experience working in an enterprise environment with multiple data sources and business domains

Benefits
Full-Time, Salaried Position
Bonus opportunity of 10-15%
Benefits
401 K

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