ZipRecruiter

Log In

1

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

National Trench Safety, Inc

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

J ob Summary The Data & Analytics team builds the reporting and data infrastructure that supports company-wide decision-making. The Analytics Engineer will own the layer between raw data and finished ...

Zachry Group

Engineering Data Analytics

Houston, TX · On-site

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation (ZEC) is looking for a detail-oriented Engineering Data Analytics Specialist to support engineering ...

Zachry Group

Engineering Data Analytics

Houston, TX · On-site

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation (ZEC) is looking for a detail-oriented Engineering Data Analytics Specialist to support engineering ...

Pantheon

Snowflake Data Engineer - W2

Spring, TX · On-site

$96K - $116K/yr

We are looking for a hands-on Data Analytics Engineer with strong experience in DBT, Snowflake, and dimensional data modeling to help build and maintain the analytical foundation that supports ...

Apex Systems

Senior Unconventional Analytics Engineer

Spring, TX · On-site

$88K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Key Responsibilities Data Product Ownership * Design, develop, and maintain analytics-ready data ... Databricks Data Engineering * Develop scalable data pipelines and transformation processes within ...

Wise Skulls

AI Data Analytics Lead

Houston, TX · On-site

AI Data Analytics Lead Location: Chicago, IL or Houston, TX (100% Onsite) Duration: 6 months ... The ideal candidate should have a solid software engineering background along with hands-on ...

Bechtel

PIIM Analytics Engineer

Houston, TX · On-site +1

This role will manage data ingestion, transformation, and exchange across project systems and serve ... The PIIM Analytics Engineer position reports to the PIIM Analytics Lead under the PIIM team. The ...

Bechtel

PIIM Analytics Engineer

Houston, TX · On-site

This role will manage data ingestion, transformation, and exchange across project systems and serve ... The PIIM Analytics Engineer position reports to the PIIM Analytics Lead under the PIIM team. The ...

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

Big Data Analytics Process Location: Houston, TX Must Have Skills (Top 2 technical skills only ... D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science. Top 3 ...

next page

Showing results 1-20

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.

Analytics Engineer

National Trench Safety, Inc

Houston, TX • On-site

$99K - $118K/yr

Full-time

Posted 10 days ago

National Trench Safety rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

88th of 174 rated vehicle equipment hire

Job description

Job Summary

The Data & Analytics team builds the reporting and data infrastructure that supports company-wide decision-making. 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. Manager, Data & Analytics and business stakeholders across Finance, Operations, and other functions to build accurate, well-documented data models, support scheduled data pipelines, and troubleshoot refresh or pipeline issues as needed.


Key Responsibilities

  • Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).
  • Semantic models & reporting: Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.
  • Pipeline support: Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.
  • Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows.
  • Business partnership: Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.
  • Documentation: Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.
  • Standards & quality: Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.
  • Continuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.


Knowledge and Skills

Required

  • Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.
  • Dimensional modeling fundamentals (star schemas, slowly changing dimensions).
  • A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.
  • Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.

Preferred

  • Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) - you understand that business rules, not just dates, often drive how records should be deduplicated or classified.
  • Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.
  • Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.
  • Basic Git/source control experience.
  • Python for data tasks.


Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.
  • Minimum (three) 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.
  • Knowledge of data quality frameworks and data governance practices.


What National Trench Safety employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom