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Machine Learning Data Engineer Jobs in Texas (NOW HIRING)

Databricks Data Engineer

Dallas, TX · On-site

$113.30K - $136.10K/yr

Deloitte's Core AI & Data practice is seeking a Databricks Data Engineer to help organizations ... machine learning data pipelines • Experience working in consulting or client service delivery ...

New

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they ...

Junior Data Engineer

San Antonio, TX

$103.30K - $124K/yr

... datasets, machine learning, and a focus on cloud-based data warehouses such as Snowflake or ... As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ...

Junior Data Engineer

San Antonio, TX

$103.30K - $124K/yr

... datasets, machine learning, and a focus on cloud-based data warehouses such as Snowflake or ... As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Junior Data Engineer

San Antonio, TX · On-site

$103.30K - $124K/yr

... datasets, machine learning, and a focus on cloud-based data warehouses such as Snowflake or ... As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ...

Machine Learning Engineer, Specialist

Dallas, TX · On-site

$113.30K - $136K/yr

We're the AI Center of Excellence within the Chief Data and Analytics Office. We work on projects ... Performs the development and programming of machine learning integrated software algorithms to ...

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Big Data Developer Austin, TX (Day 1 onsite) - Full-time Primary Skillset: Spark, Scala, AWS ... Experience with machine learning algorithms and automated machine learning to automate and build ...

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. * Convert research and prototype workflows into scalable, reliable ...

Machine Learning Engineer, Specialist

Dallas, TX · On-site

$113.30K - $136K/yr

Develops complex data pipelines and implements data engineering design principles for iterative ... Serves as a machine learning engineering subject matter expert on cross functional teams for large ...

Machine Learning Engineer, Specialist

Dallas, TX · On-site

$113.30K - $136K/yr

Develops complex data pipelines and implements data engineering design principles for iterative ... Serves as a machine learning engineering subject matter expert on cross functional teams for large ...

Data Engineer

Austin, TX · Hybrid

$113.50K - $136.30K/yr

Support best coding practices within Habitat's software, machine-learning, and data science teams. * Enhance data engineering knowledge: * Improve expertise within the software team and ensure their ...

Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

Support best coding practices within Habitat's software, machine-learning, and data science teams. * Enhance data engineering knowledge: * Improve expertise within the software team and ensure their ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ... building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data ...

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Machine Learning Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do machine learning data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning Data Engineer job?

A Machine Learning Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports machine learning models. They develop data pipelines, ensure data quality, and optimize data storage for efficient processing. This role involves working with large-scale datasets, implementing ETL processes, and collaborating with data scientists to deploy machine learning models. Strong knowledge of databases, cloud platforms, and programming languages like Python and SQL is essential. Their work enables organizations to leverage machine learning effectively by providing reliable and scalable data solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Data Engineer position, and why are they important?

To thrive as a Machine Learning Data Engineer, you typically need strong programming skills in Python or Scala, a deep understanding of data structures, algorithms, and machine learning concepts, as well as a degree in computer science or a related field. Experience with big data tools like Spark, Hadoop, and cloud platforms such as AWS or Azure, along with knowledge of data pipelines and ETL processes, is highly valuable; certifications in these areas can be advantageous. Problem-solving ability, attention to detail, and strong communication skills help professionals excel when working with diverse technical teams and stakeholders. These skills ensure data engineers can effectively build reliable, scalable data systems that support the development and deployment of machine learning models.

What are the typical daily responsibilities of a Machine Learning Data Engineer?

As a Machine Learning Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that efficiently move and transform data for machine learning applications. You may clean, preprocess, and validate large datasets, optimize storage solutions, and work closely with data scientists to ensure data is accessible and usable for model training and evaluation. Regular collaboration with software engineers and business analysts is common to align project goals and solve data-related challenges. Staying up to date with the latest tools and technologies is also important, as you'll help enable scalable and efficient deployment of machine learning solutions.

What engineers make $300,000 a year?

Senior machine learning data engineers with extensive experience, advanced skills in data pipelines, cloud platforms, and programming languages like Python or Scala can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work at large tech companies and financial institutions.
What job categories do people searching Machine Learning Data Engineer jobs in Texas look for? The top searched job categories for Machine Learning Data Engineer jobs in Texas are:
Databricks Data Engineer

Databricks Data Engineer

Deloitte

Dallas, TX • On-site

$113.30K - $136.10K/yr

Full-time

Posted 2 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte's Core AI & Data practice is seeking a Databricks Data Engineer to help organizations modernize their data platforms and enhance analytics and artificial intelligence capabilities. The role involves designing and optimizing cloud-based data engineering solutions, collaborating with teams to support large-scale data transformations, and delivering measurable business outcomes.
Responsibilities:
• Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
• Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
• Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
• Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
• Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
• 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
• 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
• Experience implementing data models, data integration patterns, and cloud-based data processing workflows
• Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Experience with Delta Lake, Databricks Workflows, and Unity Catalog
• Experience using Git-based version control and continuous integration/continuous deployment pipelines
• Experience supporting batch and streaming data workloads
• Experience with data warehousing, lakehouse architecture, and performance optimization
• Experience supporting analytics or machine learning data pipelines
• Experience working in consulting or client service delivery environments
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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