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Data Analytics Engineer Intern Jobs in Houston, TX

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 ...

New

Zachry Group

Engineering Data Analytics

Houston, TX

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 ...

Sycamore Life Sciences, LLC

Be Seen First

Software Engineer Intern

Houston, TX · On-site

$15 - $18/hr

Contribute to automation, data processing, and workflow optimization initiatives * Research and ... Strong analytical, problem‐solving, and communication skills * Ability to work independently and ...

New

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

Develop high-performance, large data research platforms * Work in small teams to build the future ... Strong analytical skills and familiarity with probability and statistics * Ability to communicate ...

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$112.50 - $145/hr

Develop high-performance, large data research platforms * Work in small teams to build the future ... Strong analytical skills and familiarity with probability and statistics * Ability to communicate ...

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How much do data analytics engineer intern jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics engineer intern in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.
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:
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Analytics Engineer

National Trench Safety, Inc

Houston, TX • On-site

$99K - $118K/yr

Full-time

Posted 2 days ago

New

National Trench Safety rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

89th of 171 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

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