ZipRecruiter

Log In

1

Data Engineering Jobs in Tyler, TX (NOW HIRING)

Trellix

Data Scientist

Enterprise, TX · On-site

This role sits at the intersection of data science and AI engineering - you'll own the science of how we know our AI works, designing evaluation frameworks, curating test datasets, and measuring the ...

Trellix

Data Scientist

Enterprise, TX

This role sits at the intersection of data science and AI engineering - you'll own the science of how we know our AI works, designing evaluation frameworks, curating test datasets, and measuring the ...

trane technologies

Senior Data Modeler

Tyler, TX · On-site

Support data engineers in the implementation of physical data structures. Tool Utilization & Modeling Platform Expertise * Use leading data modeling tools to manage data models and metadata.

TechServ Engineering & Consulting

Engineer

Tyler, TX · On-site

Prepare cost-effective projects, packaged equipment specifications, data sheets, and Requests for Qualifications using good engineering practices. * Effectively manage projects while maintaining work ...

TERRACON

Engineering Technician I

Tyler, TX

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

TERRACON

Engineering Technician I

Tyler, TX · On-site

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

TERRACON

Engineering Technician II

Tyler, TX

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

TERRACON

Engineering Technician II

Tyler, TX · On-site

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

Terracon

Engineering Technician II

Tyler, TX · On-site

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

next page

Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Tyler, TX

Data Engineering information

See Tyler, TX salary details

$43.3K

$155.5K

$229.5K

How much do data engineering jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineering in Tyler, TX is $155,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $160,200.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Tyler, TX? The most popular types of Data Engineering jobs in Tyler, TX are:
What job categories do people searching Data Engineering jobs in Tyler, TX look for? The top searched job categories for Data Engineering jobs in Tyler, TX are:
What cities near Tyler, TX are hiring for Data Engineering jobs? Cities near Tyler, TX with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Tyler, TX as of July 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $155,501 per year, or $74.8 per hour.
Data Scientist

Data Scientist

Trellix

Enterprise, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Job Title:
Data Scientist
About Trellix
Trellix is a global company redefining the future of cybersecurity. The company's comprehensive, open, and native cybersecurity platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com.
Role Overview:
Join our innovative team at Trellix, where you'll be instrumental in building the evaluation and benchmarking infrastructure for our cutting-edge agentic AI platform. This role sits at the intersection of data science and AI engineering - you'll own the science of how we know our AI works, designing evaluation frameworks, curating test datasets, and measuring the performance of AI agents, knowledge graphs, and foundation models across the Trellix security portfolio.
About the Role:
  • Evaluation Framework Design: Architect and implement rigorous evaluation pipelines for agentic AI systems, including multi-step reasoning agents, retrieval-augmented pipelines, and autonomous SOC workflows.
  • Model & Agent Benchmarking: Design and execute model evaluations to assess accuracy, reliability, latency, and safety across LLMs and agentic systems, including custom benchmarks tailored to cybersecurity use cases.
  • Knowledge Graph Evaluation: Develop methods to validate knowledge graph quality, coverage, and correctness including entity resolution, relationship accuracy, and graph completeness metrics.
  • Dataset Engineering: Build, curate, and maintain high-quality synthetic and real-world datasets for training, fine-tuning, and testing models and agents - including adversarial and edge-case datasets.
  • Agentic Agent Testing: Design structured test harnesses for agentic systems covering tool use, multi-agent coordination, hallucination rates, decision quality, and task completion fidelity.
  • Metrics & Observability: Define and instrument evaluation metrics, surface results through dashboards, and translate findings into actionable insights for engineering and product teams.
  • Research & Innovation: Stay current with the latest evaluation methodologies (e.g., LLM-as-judge, RAGAS, MT-Bench, custom evals) and adapt them to Trellix's security domain.
  • Cross-Functional Collaboration: Partner closely with AI engineers, product managers, and security researchers to align evaluation standards with real-world performance requirements.

About You:
  • Experience: 5+ years of professional experience in data science, ML engineering, or AI research, with hands-on work in evaluation or benchmarking of AI/ML systems.
  • Data Science & ML Core:
    • Strong proficiency in Python (pandas, NumPy, scikit-learn)
    • Statistical analysis and experimental design
    • Experience building and managing datasets for ML training and evaluation
    • Familiarity with annotation workflows and data quality frameworks
  • AI/LLM Evaluation:
    • Hands-on experience evaluating Large Language Models (LLMs)
    • Familiarity with evaluation frameworks such as RAGAS, HELM, EleutherAI LM Eval, or equivalent
    • Experience designing LLM-as-judge pipelines or preference evaluation workflows
    • Understanding of hallucination detection, groundedness, and faithfulness metrics
  • Agentic Systems:
    • Experience testing or evaluating agentic AI systems
    • Familiarity with tool use, ReACT-style, Deep Agents, and multi-agent coordination patterns
    • Ability to define pass/fail criteria for complex, multi-step agent tasks
  • Knowledge Graphs:
    • Experience working with knowledge graphs (NebulaGraph, Neo4j, or equivalent)
    • Ability to evaluate graph quality, ontology coverage, and traversal correctness
    • Familiarity with embedding-based retrieval and vector databases (Qdrant preferred)
  • Data Engineering & Infrastructure:
    • Experience with synthetic data generation for model and agent testing
    • Proficiency with vector databases and embedding pipelines
    • Familiarity with MLflow, Weights & Biases, Langfuse, or similar experiment tracking tools
    • AWS experience preferred
  • Domain Knowledge:
    • Familiarity with the cybersecurity domain strongly preferred
    • Understanding of SOC workflows, threat detection, and incident response a plus
    • Experience evaluating AI systems in high-stakes or regulated environments a plus
  • Soft Skills:
    • Strong analytical thinking and ability to translate ambiguous quality questions into measurable metrics
    • Excellent written communication - able to document evaluation methodologies and present findings to technical and non-technical stakeholders
    • Collaborative mindset with a bias toward rigor and reproducibility

Company Benefits and Perks:
We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
  • Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Our Commitment to You:
At Trellix, we are committed to creating a safe and trustworthy experience for our customers, employees, and candidates. Please be aware that fraudulent recruiting activity can occur through fake job postings or impersonated communications.
Trellix conducts interviews through professional channels only and does not use text messages, instant messaging, or group chats for interviews. We will never request sensitive personal information-such as your date of birth, Social Security number, or national ID number-during the interview process.
Trellix also does not require candidates to pay fees, purchase products or services, or process payments of any kind as part of the recruiting or hiring process. And Trellix will never keep any original work authorization documents that we may be required to review during the hiring process.
Trellix logo

About Trellix

Sourced by ZipRecruiter

Trellix is a global company redefining the future of cybersecurity. The company's open and native extended detection and response (XDR) platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Trellix's security experts, along with an extensive partner ecosystem, accelerate technology innovation through machine learning and automation to empower over 40,000 business and government customers.

Industry

Internet and it

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US

Year founded

2022

Social media

FacebookTwitter

View All Trellix Jobs

Apply