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

McKesson

Manager, Data Analytics

The Woodlands, TX

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

MCKESSON

Manager, Data Analytics

The Woodlands, TX

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

McKesson

Manager, Data Analytics

The Woodlands, TX · On-site

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Apache Corporation

IT Data Analytics Director

Houston, TX · On-site

$180 - $260/hr

The Director of AI, Data Analytics, Data Engineering, Data Management, and Application Development, located in Houston, TX, is a senior leadership role responsible for overseeing and integrating ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Houston, TX

Data Analytics Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analytics 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.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

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

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

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

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

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Lead Analytics Engineer/BI Architect

Imperative Chemical Partners, Inc.

Houston, TX • On-site

Full-time

Posted 27 days ago

Imperative Chemical Partners rating

9.1

Company rating: 9.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

4th of 100 rated chemical manufacturers

Job description

Description
SUMMARY
The Lead Analytics engineer owns the semantic layer (gold marts), certified metrics implementation, dimensional modeling, complex Power BI architecture, financial reporting, Lakehouse Semantic Layer, dataset certification standards, Power BI/Fabric tenant governance authority. This person will be focused on Translating business metric definitions into certified data models, design and maintain semantic layer, architect complex BI solutions, enforce dataset certification standards. BI Architect will play a hands-on role in overseeing the organization's BI strategy, driving the development and implementation of BI solutions to support data-driven decision-making. The BI Architect will work across the organization to understand the business requirements and use their knowledge of BI to design insightful solutions that transform data into actionable insights. This senior role requires a distinct blend of hands-on technical expertise, data architecture oversight, and team mentorship to translate raw organizational data into scalable, actionable dashboards and insights.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Collaborate with various stakeholders to understand their information needs, create reports and dashboards, and leverage BI tools to enhance data accessibility and usability within the organization.
  • Hands-on semantic modeling, Databricks gold-layer architecture, advanced Power BI (DAX, dataset architecture), dimensional modeling discipline, business communication, accountable for the integrity of certified financial metrics
  • Designing, building, and optimizing enterprise-grade Power BI dashboards, semantic modeling and dimensional tables.
  • Writing advanced SQL queries in Microsoft Fabric/PowerBI to retrieve data from platforms like Snowflake, Azure SQL, Databricks.
  • Partnering with business leaders to define metric calculations, KPIs and establish a "single source of truth".
  • Overseeing data governance, validation, source-to-report lineage, quality assurance, and documentation.
  • Ensure the effective collection, analysis, and visualization of data to support decision-making processes, identify business trends, and optimize performance across the BI landscape.
  • Manage the design, development, and maintenance of reports using Power BI and other reporting and data transformation tools.
  • Gather, analyze, and interpret large datasets from various sources to identify trends, patterns, and insights that inform strategic business decisions.
  • Maintain and improve existing reports that are deemed business critical.
  • Compile and contribute to maintaining accurate supporting documentation.
  • Stay informed about industry trends, best practices, and emerging technologies around data and advanced analytics.

REQUIRED EDUCATION, QUALIFICATIONS, AND EXPERIENCE:
  • Strong business and technical acumen to be able to interact with business stakeholders and translate business needs into visual reports.
  • Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Statistics, or a related field, or equivalent experience.
  • Proficiency in a variety of data analysis tools and data visualization platforms within the Microsoft stack.
  • Strong ability to interpret complex data, identify patterns, and draw meaningful conclusions.
  • Minimum of 5 years of experience in business intelligence or data analytics.
  • Knowledge of ETL processes and data warehousing concepts.
  • Focus on learning to stay updated with the latest data analytic tools, techniques and industry trends.
  • Experience in cross-functional collaboration and liaising with development teams using Agile methodology.
  • Proficiency with Delta Lake, Apache Spark, and distributed SQL query engines.
  • Expertise in data governance, quality frameworks, and metadata management at scale.
  • Performance optimization experience for large-scale analytics workloads.
  • Expert-level proficiency with Microsoft Fabric (Lakehouse, data engineering, analytics).
  • Proficiency in creating and managing semantic models and Power BI integration within Fabric workspaces.
  • Experience with Fabric workspace governance, capacity planning, and cost optimization.
  • Advanced SQL and PySpark development for data transformation and analytics.

PRE-EMPLOYMENT REQUIREMENTS
  • Must complete and pass all required pre-employment screenings.

Imperative Chemical Partners is an Equal Employment Opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national or ethnic origin, veteran or disability status.
This description reflects management's assignment of essential functions, it does not exclude or restrict the tasks that may be assigned or re-assigned. This job description is subject to change at any time.

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