Houston, TX

Data Jobs in Houston, TX

92 jobs found

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Today

Data Engineer

Parahunt Global Solutions Houston, TX

Houston, TX

Today

$29 - $35/hr Full time Azure Big Data Bigdata

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Job Description

Parahunt Global Solutions is hiring an entry-level Data Engineer in Houston, TX. This onsite role focuses on creating dependable data pipelines and analytics-ready datasets, with hands-on support across ETL, data warehouse design, and data modeling in both public cloud and SQL database environments.

Role Responsibilities

Build and maintain reliable data pipelines that enable analysts and business teams to access consistent, useful information.
Support ETL pipeline development, including extraction, transformation, and loading.
Assist with data warehouse design and dimensional modeling to structure analytics-ready datasets.
Contribute to database design, query management, and data model design for Microsoft SQL Server, Oracle, and cloud database environments.
Help integrate linked data and data from RESTful APIs to support analytics and model training workflows.
Collaborate within an Agile software development process and document data engineering work.

Required Skills and Experience

Foundational skills in SQL and Python.
Analysis skills.
Understanding of data modeling, data management, integration, and software development.
Exposure to public cloud and big data tooling, including one or more of: AWS, Azure Data Lake, Hadoop, Apache Hive, Spark, Java, and Bash (Unix shell) or shell scripting (preferred).
Familiarity with Informatica or Talend, and Looker or other business intelligence tools.
Knowledge of analytics, data warehouses, SQL databases, and data warehousing design is an asset.
Interest in big data, including practical experience through coursework or projects, is welcome.

Technologies You Will Work With

SQL, Python, Microsoft SQL Server, Oracle, AWS, Azure Data Lake, public cloud, Hadoop, Apache Hive, Spark, Java, Bash (Unix shell), shell scripting, Informatica, Talend, Looker, and RESTful application programming interfaces (APIs).

Compensation and Work Location

Location: Houston, TX (onsite / in person)
Pay: USD 29.67 - 35.74 per hour

Benefits

401(k)
401(k) matching

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2d ago

AI Engineer

Robotics Technologies Houston, TX

Houston, TX

2d ago

Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Robotics Technologies is seeking an AI Engineer to design, build, and deploy enterprise Generative AI solutions on Databricks, with a focus on RAG, custom agents, document intelligence, and evaluation.

Responsibilities

Design and implement Generative AI and Agentic AI solutions
Build and optimize Retrieval-Augmented Generation (RAG) architectures and vector search solutions
Develop custom AI agents and agent workflows
Implement document parsing, information extraction, and document intelligence capabilities
Create and maintain evaluation frameworks to assess AI solution quality, accuracy, and reliability
Design prompts and optimize prompt engineering strategies
Deploy and manage models using Databricks Model Serving and related MLOps capabilities
Integrate AI solutions with enterprise data platforms and applications
Collaborate with Data Engineers and Full Stack Developers to deliver end-to-end AI-powered products

Requirements

Retrieval-Augmented Generation (RAG)
Custom AI agents and agentic workflows
Prompt engineering
Evaluation frameworks including LLM-as-a-Judge, RAG evaluation, and AI testing
Information extraction and AI document parsing
Vector search
Model serving and inference APIs
AI governance and quality assessment
Databricks AI/ML Platform
Databricks Model Serving
MLflow
Delta Lake
Unity Catalog
PySpark
Databricks SQL
Lakehouse architecture
Python and SQL
Preferred: LangChain / LangGraph / Semantic Kernel
Azure and/or AWS
REST APIs
Cloud-native AI deployments

Preferred Qualifications

Experience building production-grade AI solutions
Experience deploying GenAI applications in regulated or enterprise environments
Databricks certifications: Machine Learning, GenAI, Lakehouse Fundamentals
Experience with multi-agent systems and enterprise AI architectures
Strong understanding of evaluation, observability, and governance of AI solutions

Location and Details

Location: Houston, TX (onsite)
Job ID: J53501
Duration: 18 Months + Extension
Domain exposure: IT/Software

Employment Type

W-2
1099
C2C

Work Authorization

US Citizen
Green Card
OPT-EAD
CPT
H-1B
H4-EAD
L2-EAD
GC-EAD

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3d ago

Data Engineer

Robotics Technologies Houston, TX

Houston, TX

3d ago

Full time Aws Data Engineer Cloud Data Engineering Data

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Job Description

Data Engineer role focused on building a modern cloud data platform in Houston, TX (onsite), centered on Snowflake and AWS.

Responsibilities

Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured sources.
Develop data ingestion and extract-load processes using Informatica, aligned to enterprise standards and in-house capabilities.
Build transformation logic with dbt, including modular models, testing, documentation, and deployment workflows.
Design and manage data structures in Snowflake, with Snowflake as the central strategic platform.
Support AWS-based data services and infrastructure for applications and data products running in the organization’s AWS environment.
Support data architecture with Iceberg managed tables and open table formats, covering interoperability, cataloging, and governed access patterns.
Use Snowflake Catalog and Snowflake Horizon for metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing.
Collaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products.
Work with domain experts to understand business concepts, entities, relationships, and terminology.
Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings.
Translate business and domain concepts into logical data models, physical data models, and reusable data products.
Implement data quality checks, validation rules, lineage, observability, and governance controls.
Support data products and applications including news intelligence, asset intelligence, analytics, and AI-enabled use cases.
Ensure solutions meet enterprise requirements for security, privacy, access control, performance, and reliability.

Requirements

Strong experience in data engineering, data modeling, and ETL/ELT for cloud data platform development.
Hands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.
Experience working in AWS cloud environments.
Experience with Informatica or similar enterprise data integration tools for extract-load and ingestion patterns.
Experience with dbt for transformations, testing, documentation, and analytics engineering workflows.
Understanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access.
Familiarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.
Understanding of ontology and semantic modeling concepts such as taxonomies, business glossaries, or knowledge graph ideas.
Strong SQL skills and experience with Python or another data engineering language.
Ability to work with business stakeholders to define data entities, relationships, metrics, and data product requirements.
Strong communication, documentation, and problem-solving skills.

Technologies

Snowflake, AWS, Iceberg, Apache Iceberg, Snowflake Catalog, Snowflake Horizon
Informatica, dbt, Ingestion, ETL/ELT, SQL, Python
Open table formats
Ontology-driven modeling: RDF, OWL, SHACL, SPARQL, graph databases, knowledge graph platforms
CI/CD, Git
Data observability, lineage tracking, data contracts, data quality frameworks, semantic layers
Metadata models, domain ontologies
Additional noted item: Claude

Preferred Skills

Experience with Snowflake Catalog and Snowflake Horizon.
Experience building governed data products for analytics, AI, or application use cases.
Experience with enterprise governance tooling, including Informatica governance capabilities.
Experience with RDF, OWL, SHACL, SPARQL, graph databases, or knowledge graph platforms.
Experience designing semantic layers, business glossaries, metadata models, or domain ontologies.
Experience with CI/CD, Git, automated testing, and deployment workflows for data pipelines.
Experience with data observability, lineage tracking, data contracts, and data quality frameworks.
Experience working in complex enterprise data environments with multiple systems, domains, and stakeholder groups.

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3d ago

Data Scientist – NAICS Classification & Analytics

Alliant Group Houston, TX

Houston, TX

3d ago

Full time Business Analytics Cloud Platforms Data Analysis

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Job Description

Alliant Group is seeking a Data Scientist to help analyze and interpret business data using NAICS codes and advanced analytics. In this onsite role in Houston, TX, you will build predictive models and improve automated NAICS classification and mapping workflows using large datasets and machine learning.

The work focuses on transforming messy, multi-source business information into accurate industry classifications and decision-ready insights for stakeholders across the organization.

Responsibilities

Analyze large datasets to identify business trends, industry patterns, and market opportunities.
Apply NAICS codes to accurately classify businesses by industry and sector.
Design automated processes to assign, validate, and update NAICS codes across company databases.
Develop predictive models to identify prospective clients and business development opportunities.
Clean, organize, and standardize large volumes of company and industry data.
Create algorithms that match companies to appropriate NAICS classifications using business descriptions, products, and services.
Use machine learning and natural language processing (NLP) to improve industry classification accuracy.
Detect discrepancies in NAICS classifications and recommend corrections.
Partner with sales, marketing, business development, and leadership teams to deliver actionable insights.
Produce dashboards, reports, and visualizations to communicate findings to stakeholders.
Integrate information from external business databases and public industry datasets.
Continuously improve data quality, classification methodologies, and analytical processes.

Requirements

Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
3+ years of experience in data science, data analytics, or a related technical field.
Strong proficiency in Python and SQL.
Experience working with large business datasets.
Knowledge of NAICS codes and industry classification methodologies.
Experience with machine learning, predictive analytics, and statistical modeling.
Strong skills in data cleansing, validation, and data management.
Ability to translate complex data into meaningful business insights.

Technologies

Python
SQL
Power BI
Tableau
NLP
AWS
Azure
Google Cloud

Benefits

100% employer paid medical / dental premiums for single coverage for certain options
401(k) matching
PTO
Company provided life insurance and disability
Onsite gym and group exercise classes
Paid covered parking

Preferred

Experience working with NAICS and SIC classification systems.
Familiarity with business intelligence platforms such as Power BI or Tableau.
Experience with NLP, text classification, and automated industry mapping.
Experience with business databases such as Dun & Bradstreet, ZoomInfo, or similar platforms.
Knowledge of market segmentation, lead scoring, and business intelligence.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.

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5d ago

Sr. Data Analyst

Harris County Houston, TX

Houston, TX

5d ago

Full time Senior Data Analysis Data Analytics

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Job Description

Harris County Public Health is seeking a Senior Data Analyst to deliver advanced analytical support across program strategy, integration, performance monitoring, continuous quality improvement, and evaluation work tied to CHVPS programs and service models. In this onsite role in Houston, you will collect, analyze, and synthesize quantitative and qualitative data, translating findings into evidence-informed decision-making for internal and external stakeholders.

What you’ll do

Develop and implement analytical methods, dashboards, reports, and other data products supporting CHVPS program operations, strategic planning, and evidence-informed decisions.
Establish, monitor, and analyze program-level KPIs, service utilization, operational trends, and outcomes to assess effectiveness and guide program planning and improvement.
Conduct quantitative and qualitative analysis, literature reviews, environmental scans, needs assessments, and program evaluation activities to inform service delivery and evidence-based practices.
Create and maintain analytical data validation procedures, reporting standards, and quality controls to support accuracy, completeness, consistency, and reliability of program data.
Act as a data liaison across CHVPS programs, HCPH divisions, County departments, external agencies, and community partners, coordinating data needs and facilitating cross-system data integration and reporting.
Partner with program leadership and operational teams to identify analytical needs, interpret results, and provide actionable recommendations for service delivery, resource allocation, and program performance.
Prepare and present analytical findings, performance reporting, dashboards, and executive-level summaries for County leadership, Commissioners Court, funders, and other stakeholders, as appropriate.
Engage with data analysts across HCPH through peer consultation, technical exchange, and knowledge sharing to strengthen analytical practices and organizational capacity.
Complete other duties as assigned, including special projects and responsibilities related to public health emergencies and emergency response activities.

Required qualifications

Master’s Degree in Public Health, Public Administration, Public Policy, Social Sciences, Criminal Justice, or a related field.
At least three (3) years of experience in public service, public health, public policy, community planning, healthcare, or a closely related field.
At least three (3) years of experience analyzing data and building data products.
Exceptional written and verbal communication skills.
Thorough understanding of the principles of public health practice.
Knowledge of public health planning and design models, methods, tools, and techniques.
Ability to conduct research, identify and understand data, and translate data into information for decision-making and recommendations.
Ability to organize and work independently on time-sensitive projects, including solving complex problems without technical guidelines and using creative thinking when needed.

Location and schedule

Location: Harris County Public Health - 1111 Fannin St. Houston, Texas 77002 (onsite).
Position type: Full-time.
Typical hours: Monday through Friday, 8:00 am to 5:00 pm.
May require periodic overnight travel and long hours/overtime during emergencies/disasters.

Benefits

Medical Coverage, Dental Coverage, Vision Coverage
Wellness Plan, Life Insurance, Long-Term Disability (LTD) Insurance
Employee Assistance Program (EAP)
Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account
Ten (10) days of vacation leave per year (accrual rate increases after 5 years of service)
Eleven (11) County-observed holidays and one (1) floating holiday per year
Paid Parental Leave*
Sick Leave
457 Deferred Compensation Plan
Professional learning and development opportunities
Retirement pension (TCDRS defined benefit plan)
Flexible work schedule*
METRO RideSponsor Program*

Additional information

Subject to a criminal history check; only relevant convictions will be considered, and even then may not automatically disqualify the candidate.
Equal Opportunity Employer.
If special services or accommodations are needed, contact (713) 274-5445 or email ADACoordinator@bmd.hctx.net.
To be considered, qualifying education, experience, knowledge, and skills must be documented on the job application. “See Resume” will not be accepted for qualifications.

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6d ago

Lead Software Engineer - Data Engineer

JPMorganChase Houston, TX

Houston, TX

6d ago

Full time Backend Developer Manager Artificial Intelligence

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Job Description

Corporate Technology at JPMorganChase builds and supports technology products that help power corporate functions across the network. On an agile team, you will contribute to trusted, secure, stable, and scalable engineering outcomes, with a role focused on production data pipelines and engineering practices including enterprise-authorized AI-assisted engineering.

What you’ll deliver

Execute creative software solutions across design, development, and technical troubleshooting, using an approach that goes beyond routine problem-solving.
Develop secure, high-quality production code, and contribute through code review and debugging of work completed by others.
Lead the adoption of AI-assisted engineering practices that support better code quality, faster delivery, and improved operational outcomes, including AI-assisted code review/refactoring, test strategy acceleration, and incident/root-cause analysis support.
Establish consistent validation standards across the team, including secure coding, peer review, and automated testing, and promote reuse of effective engineering patterns.
Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to increase value from automation.
Identify recurring remediation opportunities and drive elimination or automation of repeated issues to improve software and system operational stability.
Lead evaluation sessions with external vendors, startups, and internal teams to test architectural designs and technical credentials for fit within existing systems and information architecture.

What you bring

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Strong experience in Data Engineering with Python, SQL, and the AWS Tech Stack.
Hands-on Python and Java development experience, including designing, building, and supporting production-grade applications and data pipelines.
Strong SQL skills with experience working on data processing and data engineering workloads.
Hands-on experience with AWS cloud services and building cloud-native solutions.
Strong experience with Databricks, including development and processing of large datasets.
Solid software engineering fundamentals and experience delivering and supporting solutions in a production environment.
Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting, plus the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, with experience coaching engineers on safe, compliant adoption within delivery practices.

Tools and technologies

Data Engineering, Python, SQL, AWS, Java, Databricks

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching and more

Preferred capabilities

Proficiency in automation and continuous delivery methods, with strong SDLC discipline including CI/CD, testing, code quality, and release controls.
Advanced understanding of agile delivery, application resiliency, and secure engineering practices.

About the team

The Corporate Technology team depends on smart, driven people to develop applications and provide technology support for corporate functions across the network. Your work will contribute across Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office, while aligning with the team’s technology controls agenda.

Location: Houston, TX (onsite).

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6d ago

Senior Analytics Product Manager

Sysco Houston, TX

Houston, TX

6d ago

Full time Senior Business Analytics Business Intelligence

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Job Description

Sysco is building Analytics & Performance Intelligence capabilities that help teams turn data into measurable business value. As a Senior Analytics Product Manager in Houston, TX 77001 (onsite), you will help define strategy and lead analytics product development and deployment across multiple use cases powered by one of Sysco’s core enterprise analytics engines.

This is a customer-first role supported by advanced analytics and digital transformation initiatives. You will work closely with executive leadership, business functions (including Merchandising, Revenue Management, and Human Resources), operating companies, specialty businesses, geographic teams, and technology partners to deliver actionable insights that influence real outcomes.

Responsibilities

Define and align the organization around where Sysco wins and loses by leveraging insights from across the Enterprise Analytics Team (EAT), including Data Science, Primary Research, and Market/Customer Intelligence.
Set the analytical approach and guide the design and development of models that support multiple business use cases tied to core enterprise analytics platforms.
Partner with leadership teams to identify business opportunities and develop analytical strategies to address them.
Conduct data mining, cleansing, transformation, and analysis across large, complex datasets from multiple sources.
Identify required data sources and elements while maintaining accuracy, completeness, and consistency.
Resolve data quality issues such as missing, corrupt, irrelevant, or incongruent data.
Collaborate with Business, Data Science, and Technology teams to ensure analytical models are scalable and deployed effectively across the enterprise.
Develop performance metrics, reporting frameworks, and tracking mechanisms to measure value realization from analytics solutions.
Coordinate and lead cross-functional teams made up of analysts, business subject matter experts, and technical resources.
Translate analytical findings into actionable insights and recommendations for strategic business decisions.
Drive adoption of analytics capabilities and support a data-driven culture across the organization.
Support continuous improvement of analytics methodologies, tools, and processes.

Requirements

Bachelor’s degree in an analytical field such as Engineering, Mathematics, Statistics, Economics, Business, or a related discipline.
MBA or advanced degree preferred from a top-tier educational institution.
5+ years of experience in a corporate environment or leading professional services organization in analytical, strategy, finance, insights, consulting, or related roles.
Experience working with large datasets and using advanced analytical techniques to solve business problems.
Experience leading cross-functional initiatives involving business stakeholders, analytics teams, and technology organizations.
Proven ability to develop analytical frameworks that influence strategic business decisions.
Hands-on experience with data mining, data cleansing, and data transformation.
Experience developing business performance metrics, KPI frameworks, and value realization tracking methodologies.
Experience managing or influencing stakeholders across multiple business functions and organizational levels.
Ability to translate analytical findings into executive-level presentations and recommendations.
Strong understanding of digital technologies, data architectures, data ecosystems, and platform interdependencies.
Knowledge of descriptive, predictive, and prescriptive analytics methodologies and associated tradeoffs.
Understanding of business value drivers and how analytical modeling decisions connect to business outcomes.
Excellent problem-solving skills with the ability to structure complex business challenges into analytical frameworks.
Strong strategic thinking and business acumen, with effective communication across technical and non-technical audiences.
Ability to manage multiple priorities in a fast-paced environment and demonstrate a commitment to data-driven decision-making and continuous improvement.