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Data Processing Jobs in Spring, TX (NOW HIRING)

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Write production-quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows * Lead A/B experiments and product analytics to measure AI ...

Microvast

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

... data processing and optimization techniques. • Ability to work collaboratively in a team environment and communicate technical concepts effectively. • Strong problem-solving skills and the ...

Crane Company

BI Data Engineer

The Woodlands, TX · On-site

Recommend and implement process to improve data quality, data reliability, and database performance * Employ variety of ETL and integration tools for system and data integrations * Architect ...

Crane Company

BI Data Engineer

The Woodlands, TX · On-site

Recommend and implement process to improve data quality, data reliability, and database performance * Employ variety of ETL and integration tools for system and data integrations * Architect ...

Visual Comfort & Co.

Data Engineer II

Houston, TX · On-site

$91K - $96K/yr

Design, build, and own scalable data pipelines and ETL/ELT processes to support enterprise data needs * Develop and maintain curated data products as trusted, reusable assets for downstream systems ...

circa

Data Engineer II

Houston, TX

$109K - $131K/yr

Design, build, and own scalable data pipelines and ETL/ELT processes to support enterprise data needs * Develop and maintain curated data products as trusted, reusable assets for downstream systems ...

Beusa Energy Group

Data Engineer III

The Woodlands, TX

$104K - $125K/yr

Implement incremental processing patterns (MERGE with Change Data Feed, APPLY CHANGES INTO) with idempotency and exactly-once delivery. * Partner with data consumers to deliver reliable, well ...

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

You will work hands-on with modern data technologies such as Amazon Redshift, Databricks, and cloud-based data processing frameworks to ensure reliable, high-quality data flows across the platform.

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

You will work hands-on with modern data technologies such as Amazon Redshift, Databricks, and cloud-based data processing frameworks to ensure reliable, high-quality data flows across the platform.

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Corva

Senior Data Scientist

Houston, TX · On-site

Experience working with large-scale data processing frameworks (e.g., Spark) * Strong SQL and database experience Modern ML & Data Practices * Experience with MLOps practices (model versioning ...

NAVA Software Solutions

Lead Data Scientist

Houston, TX · On-site

Lead Data Scientist Location: Houston TX - 4 days onsite Duration: Full time /Direct Hire The Lead ... Ensure analytical insights and products are embedded into business processes. * Ensure use case ...

Pwc

Data Engineer - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

TestingXperts

Big Data Analytics Process

Houston, TX

Houston, TX Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization ...

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 ... By integrating the process from raw material to system assembly, Microvast has developed a family ...

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All JobsData Processing JobsData Processing Jobs in Spring, TX

Data Processing information

See Spring, TX salary details

$10

$18

$31

How much do data processing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data processing in Spring, TX is $18.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.90 per hour, depending on experience, location, and employer.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are popular job titles related to Data Processing jobs in Spring, TX? For Data Processing jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Spring, TX look for? The top searched job categories for Data Processing jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Processing jobs? Cities near Spring, TX with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,512 per year, or $18 per hour.
Lead Data Scientist

Lead Data Scientist

Hexagon AB

Houston, TX • On-site

Full-time

Posted 19 days ago

Job description

Lead Data Scientist
Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke, Virginia-USA
Workplace Type: Remote
Req Id: 2289
Responsibilities
Octave's ETQ division is seeking a hands-on Data Scientist to build predictive models, implement Generative AI and Agentic AI features, and architect data-driven solutions for our document-based compliance management platform. This role requires a technical expert who can develop, deploy, and maintain ML systems in production environments.
  • Build and deploy Generative AI features using foundation models (AWS Bedrock, OpenAI, Anthropic Claude) and RAG architectures with vector databases for compliance document understanding
  • Design agentic AI systems that autonomously handle compliance workflows, document review, regulatory mapping, and multi-step reasoning tasks
  • Implement comprehensive LLM evaluation frameworks with automated pipelines, custom metrics, benchmark datasets, and safety guardrails ensuring regulatory compliance
  • Build end-to-end MLOps pipelines for model training, deployment, monitoring, versioning, and automated retraining with drift detection
  • Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection, and time-series forecasting
  • Write production-quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows
  • Lead A/B experiments and product analytics to measure AI feature impact and drive data-driven decision-making
  • Create explainability frameworks (SHAP/LIME) and monitoring dashboards ensuring transparency and regulatory adherence
  • Collaborate with cross-functional teams to translate business needs into ML solutions and communicate insights to stakeholders

Python (5+ years): Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest
SQL: Advanced proficiency with complex queries, window functions, and optimization
Machine Learning & NLP: Strong foundation in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis
Generative AI & LLMs: Hands-on experience with foundation models (GPT, Claude, Llama), prompt engineering, RAG architectures, and vector databases (Pinecone, Weaviate, Chroma)
MLOps & ModelOps: End-to-end experience with ML pipelines, experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, CI/CD for ML, and Docker containerization
LLM Evaluation: Experience with evaluation frameworks (RAGAS, DeepEval), custom metrics, benchmark datasets, and human-in-the-loop validation
Cloud & AWS: Experience with AWS services including SageMaker, Bedrock, S3, Lambda, EC2, and CloudWatch
Statistics & Experimentation: Strong foundation in statistics, A/B testing, causal inference, and experimental design
Visualization: Proficiency with Tableau, Power BI, or Python visualization libraries
Education / Qualifications
Experience & Education
  • 7+ years in data science, ML engineering, or related roles
  • 3+ years building NLP/generative AI applications and implementing MLOps in production
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred)
  • Track record of deploying ML systems processing large-scale datasets with proper monitoring and governance

Preferred Qualifications
  • Experience with agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI)
  • Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems
  • Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration (Airflow, Kubeflow), and monitoring tools (Datadog, Prometheus)
  • Experience with LLM fine-tuning, document processing libraries, multi-modal AI, or distributed training
  • Understanding of ML governance, bias detection, model risk management, and data privacy regulations (GDPR, CCPA, HIPAA)
  • Experience working in agile environments with Jira
  • AWS ML certifications or similar credentials

Key Competencies
  • Strong communication skills explaining complex models to technical and non-technical audiences
  • Ability to work independently and collaboratively in fast-paced environments
  • Proven ability to convert POCs into production-grade solutions
  • Understanding of ethical AI and building trustworthy, explainable systems for regulated environments

Octave will not provide visa sponsorship for this role.
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About Octave
Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle - Design, Build, Operate and Protect - where performance, safety, and reliability are non-negotiable and failure is not an option.
Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most.
Octave has approximately 7,200 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.
Why work for Octave?
All in. Always forward. That's the way we do things around here. We put trust in our people because we believe it's the best way to unleash potential, bring ideas to life, and keep moving ahead. And it's why we're committed to creating an environment that's truly supportive, providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.
Everyone is welcome
At Octave, we believe that diverse and inclusive teams are critical to the success of our people and our business. Here, everyone is welcome. As an inclusive workplace, we don't discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You're valued here.
Recruitment Fraud Alert
Octave posts all official job opportunities on either https://careers.octave.com/ or https://www.octave.com/about/careers and communicates only from email addresses ending in @octave.com. We never request payment or personal banking information during recruitment. No offers will ever be extended without a proper interview via Teams or in person, never done over email alone. If you suspect fraud, it probably is, and contact us at careers@octave.com

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