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

Microvast

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

They are seeking a highly skilled BMS Data Analysis Engineer to join their team, responsible for designing, developing, and optimizing advanced algorithms to solve complex problems in battery systems.

Pwc

Data Engineer - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Houston, TX

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Houston, TX · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

MICROVAST INC

BMS Data Analysis Engineer

Houston, TX · On-site

BMS Data Analysis Engineer Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator ...

Ketjen

Data Analytics and AI Leader

Houston, TX · On-site

Partner with manufacturing and engineering to improve yield, reliability, and maintenance planning ... Report business value from data, analytics, and AI initiatives in executive terms. * Advise ...

Ketjen

Data Analytics and AI Leader

Houston, TX

Partner with manufacturing and engineering to improve yield, reliability, and maintenance planning ... Report business value from data, analytics, and AI initiatives in executive terms. * Advise ...

Foxconn Assembly LLC

Data Analyst

Houston, TX · On-site

This role collaborates with data engineers to visualize data from all kinds of sources within the manufacturing factory setting. The data analyst will analyze, design, create, maintain, update ...

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is ... The role performs root-cause analysis and recommends or executes corrective actions when data ...

IES Holdings, Inc.

Data Analyst IV

Sugar Land, TX · On-site

This is a versatile, high-visibility role that blends data engineering, data modeling, and analytics delivery. The ideal candidate is equally comfortable sitting with an executive to understand their ...

IES Holdings, Inc.

Data Analyst IV

Sugar Land, TX · On-site

This is a versatile, high-visibility role that blends data engineering, data modeling, and analytics delivery. The ideal candidate is equally comfortable sitting with an executive to understand their ...

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Showing results 41-60

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.

BMS Data Analysis Engineer

Microvast

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Microvast is a technology innovator that designs, develops and manufactures lithium-ion battery solutions. They are seeking a highly skilled BMS Data Analysis Engineer to join their team, responsible for designing, developing, and optimizing advanced algorithms to solve complex problems in battery systems.
Responsibilities:
• Collect, clean, and organize data from battery testing (cell/module/pack), BMS logs and field operating data.
• Develop and maintain scalable data pipelines and dashboards for continuous monitoring.
• Ensure data quality, traceability, and consistency across various sources.
• Perform statistical analysis and trend evaluation to identify anomalies, degradation patterns, and performance deviations.
• Collaborate with system engineers and test engineers to define data requirements for validation and verification.
• Conduct root-cause analysis of battery failures, safety events, and performance issues based on battery data.
• Provide data-driven recommendations to optimize test plans, test coverage, and acceptance criteria.
• Document findings, methodology, and tools in a structured and reproducible way.
• Work with BMS developers to validate algorithms and improve control strategies.
• Support field service, warranty, and quality teams with in-depth data analysis.
• Participate in continuous improvement initiatives for battery lifecycle management.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Mathematics, Engineering, or a related field.
• 2–5 years of experience in data analysis, preferably in battery systems, energy storage, or electric vehicles.
• Strong proficiency in Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn).
• Hands-on experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, Plotly).
• Good understanding of lithium-ion battery behavior, including SoC/SoH calculation, degradation, thermal behavior, and charging/discharging characteristics.
• Proficiency in programming languages such as Python, C++, or similar.
• Solid understanding of mathematical and statistical modeling techniques.
• Experience with large-scale data processing and optimization techniques.
• Ability to work collaboratively in a team environment and communicate technical concepts effectively.
• Strong problem-solving skills and the ability to think critically under challenging scenarios.
• Creative thinking skills & Strong analytical skills
• Ability to communicate well with other members of the development team
Preferred:
• Hands-on experience with machine learning frameworks is a plus.
• Familiarity with cloud computing and distributed computing frameworks
Company:
Microvast designs, develops, and manufactures charging, battery control systems for electric vehicles with superior safety. Founded in 2006, the company is headquartered in Stafford, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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