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Analytics Engineer Jobs in Houston, TX (NOW HIRING)

Bechtel

PIIM Analytics Engineer

Houston, TX · On-site

Bechtel is seeking an analytics engineer to design, build, and maintain scalable data pipelines and data integration solutions that support project execution. This role will manage data ingestion ...

Bechtel

PIIM Analytics Engineer

Houston, TX · On-site +1

Bechtel is seeking an analytics engineer to design, build, and maintain scalable data pipelines and data integration solutions that support project execution. This role will manage data ingestion ...

Deloitte

GCP Cloud Analytics Engineer

Houston, TX · On-site

$53.25 - $71.25/hr

GCP Cloud Analytics Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients ...

The Harris Center

Analytics Developer

Houston, TX · On-site

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 ...

Metro National Corporation

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team.

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Houston, TX

Analytics Engineer information

See Houston, TX salary details

$60.6K

$105.8K

$172.5K

How much do analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for analytics engineer in Houston, TX is $105,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,990.00 and $118,728.00 per year, depending on experience, location, and employer.

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 analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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.

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 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.
What are the most commonly searched types of Analytics Engineer jobs in Houston, TX? The most popular types of Analytics Engineer jobs in Houston, TX are:
What are popular job titles related to Analytics Engineer jobs in Houston, TX? For Analytics Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Houston, TX look for? The top searched job categories for Analytics Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Analytics Engineer jobs? Cities near Houston, TX with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $105,775 per year, or $50.9 per hour.

PIIM Analytics Engineer

Bechtel

Houston, TX • On-site

Full-time

Re-posted 18 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

272nd of 441 rated engineering

Job description

Requisition ID: 295959
  • Relocation Authorized: National - Family
  • Telework Type: Full-Time Office/Project
  • Work Location: Houston, TX

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Project Overview:
Bechtel's Manufacturing & Technology (M&T) Business Unit is designing and building an Active Pharmaceutical Ingredient (API) Manufacturing Facility located at Generation Park in Houston, TX. M&T is an exciting and growing business unit that serves customers in the semiconductor, datacenter, life sciences, and electric vehicle markets. M&T strives to exceed our customer objectives through utilizing our agility, innovative technologies, and world class talent. M&T solves the industry's toughest challenges, building both our company and the world for the future. Headquartered in Reston, Virginia, the M&T global business unit also includes colleagues working in Arizona, Ohio, Texas, India, and additional project locations around the world.
Job Summary:
Bechtel is seeking an analytics engineer to design, build, and maintain scalable data pipelines and data integration solutions that support project execution. This role will manage data ingestion, transformation, and exchange across project systems and serve as a subject matter expert for the project's analytics data lake environment.
As part of a solutions-oriented team, the engineer will also support the implementation of applied AI/ML and low-code automation use cases, helping enable innovative, data-driven workflows across the project. The role will ensure reliable, high-quality data is available to support reporting, decision-making, and operational performance.
The PIIM Analytics Engineer position reports to the PIIM Analytics Lead under the PIIM team. The PIIM team is responsible for aggregating and analyzing project data, developing automated reporting processes and client-required reports, maintaining high quality and insightful analytics, and assisting with the managing records across the project. #LI-SM2
Major Responsibilities:
  • Develop and maintain scalable data pipelines and workflows to ingest, transform, and provision data from multiple project systems into the analytics data lake.
  • Manage data ingestion and exchange across tools, ensuring reliable, timely, and accurate data movement between systems.
  • Serve as the on-site subject matter expert for the analytics data lake environment, including data architecture, access patterns, performance optimization, and support for advanced analytics use cases.
  • Collaborate with project teams and system owners to define data requirements, onboard new data sources, and ensure seamless system integration.
  • Build and maintain ETL/ELT processes, optimize SQL data models, and deliver curated datasets for reporting and downstream applications.
  • Ensure data quality, consistency, and completeness across sources to enable trusted project reporting and analytics.
  • Support reporting solutions by delivering performant, well-structured datasets for tools such as Power BI.
  • Support the development and deployment of low- to medium-complexity AI/ML and agent-based solutions by preparing data, integrating models into workflows, and operationalizing outputs within project systems.
  • Enable data-driven solutions including automation and applied AI/ML use cases that enhance project execution and efficiency.

Education and Experience Requirements:
  • Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience

Required Knowledge and Skills:
  • Strong programming experience (Python, Scala, or equivalent) with a focus on data engineering and pipeline development.
  • Experience building and maintaining data pipelines and workflows (batch and/or streaming).
  • Strong SQL and data modeling experience in relational databases (e.g., MSSQL, PL/SQL).
  • Experience integrating data across systems using APIs, services, or data exchange frameworks.
  • Experience with cloud-based data platforms (e.g., Azure Databricks, data lakes, Delta Lake).Understanding of data architecture, partitioning strategies, and performance optimization.Experience supporting cross-functional teams in a project environment.
  • Experience delivering datasets for BI tools such as Power BI.
  • Experience with Azure Databricks and Delta Lake environments.
  • Familiarity with data governance, access control, and data quality frameworks.
  • Familiarity with applying AI/ML or low-code AI tools in production environments (e.g., integrating model outputs into data pipelines or workflows).

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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