data & ai analyst

data scientist

ai computational data scientist Jobs in Houston

ai computational data scientist

associate data scientist

data engineer

machine learning engineer

The Jupiter Group, Inc

<div>
 <p>
  &bull; This role is for a Data Scientist in the Supply Chain &amp; Manufacturing domain, with specific experience in areas like retail supply chain, inventory planning, and forecasting. The team is focused on predictive analytics and machine analytics, building real forecasting and ML models rather than just operating existing tools. GenAI and LLMs are being explored, but they are not mature yet and not the main focus of the role today.
 </p>
 <p>
  &bull; The team is currently working with KumoAI (recommendation software). They are building systems around inventory forecasting and vendor recommendation, and want to take those solutions further. Inventory planning is a key business problem they&rsquo;ve already solved once and are now enhancing with more advanced ML and deep learning approaches.
 </p>
 <p>
  &bull; They are looking for someone who has hands-on experience building different types of forecasting models and machine learning models in Python, not someone who only consumes models or uses black-box solutions. The expectation is that this person has designed their own models from scratch and productionized them using platforms like AWS and Databricks. They&rsquo;ve even built internal software for forecasting that the business can directly use.
 </p>
 <p>
  &bull; From a technical perspective, they want strong experience in deep learning for time series forecasting, especially for inventory forecasting and planning. There is very little NLP involved, so this is not an NLP-heavy role. The profile leans more toward a Full Stack Data Engineer / Data Scientist hybrid &mdash; someone who understands data pipelines, modeling, and deployment end-to-end.
 </p>
 <p>
  &bull; They specifically do not want black-box model users. They need someone who understands what is happening inside the models, can tune and improve them, and apply them directly to real business problems.
 </p>
 <p>
 </p>
</div>


Data Scientist

MD Anderson Cancer Center

<div>We seek a talented, energetic, and collaborative AI-driven Data Scientist to develop data science tools and predictive algorithms as part of the development of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With expertise in Machine Learning and Deep Learning, the Data Scientist will inform our mission to discover novel therapeutic opportunities for cancer patients.<br>
<br>
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies.<br>
<br>
Central to this vision, the Data Scientist will innovate and deploy Machine Learning and Deep Learning approaches to uncover hidden therapeutic opportunities in integrated patient data and will work closely with biologists, data scientists, and clinicians.<br>
<br>
The ideal candidate has strong hands-on experience with machine learning, deep learning, and large language models, and is comfortable using tools like TensorFlow, Keras, and scikit-learn. They can address challenges such as data bias and imbalance, have solid programming skills in Python or similar languages, and possess a strong understanding of statistical methods. This person enjoys solving complex problems and developing practical AI solutions that make a meaningful impact.
<br>
<br>
<b>What We Offer?</b><br>
<ul><li>Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&amp;D, and disability insurance.</li><li>Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.</li><li>Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.</li><li>Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.</li></ul><br>
<b>
JOB RESPONSIBILITIES:</b><br>
<ul><li>Build data science tools and predictive algorithms focusing on state-of-art machine learning models</li><li>Develop novel deep learning approaches and utilizing Large Language Models and Graph Neural Networks for cancer data</li><li>Maintain knowledge of cutting-edge machine learning approaches and technologies and implement these where appropriate</li><li>Perform data wrangling and preparation for deep learning analysis</li><li>Perform statistical analysis</li><li>Produce output for scientific publications and co-author said publications</li><li>Prepare written reports, manuscripts, and grant applications with investigators</li><li>Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.</li><li>Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.</li><li>Other Duties as assigned.</li></ul><br>
<b>
EXPECTED SKILLS:
</b><br>
<ul><li>Machine Learning (e.g., Na&iuml;ve Bayes, Random Forests, Support Vector Machines, etc.)</li><li>Deep Learning (e.g., Convolutional Neural Networks, Graph Neural Networks, Autoencoders, etc.)</li><li>LLM (fine-tuning, multi-agents)</li><li>Addressing challenges in Machine Learning / Deep Learning as well as mitigation strategies including data bias, imbalance, and model validation approaches</li><li>Machine-learning platforms (e.g., TensorFlow, sklearn, Keras, etc.)</li><li>Unix, Python, R/Matlab, or other scripting/programming languages</li><li>Excellent working knowledge of statistical methods and tests</li></ul><br>
<b>
EDUCATION:</b><br>
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.<br>
Preferred: Master's or PhD in Science, Engineering or related field.<br>
<br>
<b>EXPERIENCE:</b><br>
Required: Three years scientific software or industry development/analysis experience. With Master's degree one year. With PhD, no experience required.<br>
Preferred: Machine Learning, Large language model, AI Agent and/or Biomedical Research is a plus.
<br>
<br>
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.<br>
<br>
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.<br>
<br>
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html<br>
<br>
Additional Information
<br>
<ul><li>Requisition ID: 179340
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Soft
</li><li>Work Location: Hybrid Onsite/Remote
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: Yes
</li><li>Relocation Assistance Available?: Yes
</li></ul><br>
#LI-Hybrid</div>

AI Computational Data Scientist

Crane Worldwide Logistics

<div><p><b>Essential Job Functions</b></p>
<ul>
<li>Collaborate with internal partners to identify high-impact opportunities for predictive and prescriptive analytics</li>
<li>Develop, test, and deploy machine learning models to support decision[1]making and optimize business processes</li>
<li>Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure outcomes</li>
<li>Present complex findings in a clear, actionable way through visualizations, dashboards, interactive applications, or technical reports</li>
<li>Create and maintain production-ready pipelines for data science models</li>
<li>Partner with the Business Intelligence and Data Engineering teams to improve data quality, define key metrics, and develop reusable data assets</li>
<li>Mentor analysts and other self-service data consumers in advanced statistical and machine learning techniques</li>
<li>Detect anomalies, forecast key business trends, and provide proactive recommendations</li>
<li>Stay current on emerging methods, tools, and technologies in data science</li>
<li>Other duties as assigned</li>
</ul>
<p><b>Other Skills &amp; Abilities</b></p>
<ul>
<li>Strong programming skills in Python or R; familiarity with Julia or similar languages is a plus</li>
<li>Prior experience making or publishing analytical web apps (e.g. Shiny, Streamlit)</li>
<li>Proficiency with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch)</li>
<li>Advanced knowledge of statistics, experimental design, and predictive modeling</li>
<li>Skilled in SQL and comfortable working with large datasets</li>
<li>Familiarity with deploying and maintaining models in production</li>
<li>Comfortable with BI tools and integrating data science outputs into business processes</li>
</ul>
<p><b>Physical Requirements</b></p>
<ul>
<li>Talking, hearing and using hands to operate a computer keyboard, mouse and other computer components</li>
<li> Sitting for extended periods of time</li>
<li> Vision abilities required by this job include close vision and the ability to adjust focus</li>
</ul>
<p><b>Education &amp; Experience</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Statistics, Applied Math, Data Science, or a related field</li>
<li>2&ndash;5+ years of experience in data science, advanced analytics, or a related role</li>
<li>Demonstrated experience delivering end-to-end machine learning, optimization, or forecasting solutions</li>
</ul>
<p><b>CERTIFICATIONS AND LICENSES</b></p>
<ul>
<li>Professional certification may be required in this position.</li>
<li>Relevant certifications (e.g., CPP, PSP, TAPA) preferred.</li>
</ul>
<p><b>WHY SHOULD YOU WORK FOR CRANE?</b></p>
<p>
At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.</p>
<p>
We offer:</p>
<ul>
<li>Quarterly Incentive Plan</li>
<li>136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use</li>
<li>Excellent Medical, Dental and Vision benefits</li>
<li>Tuition Reimbursement for education related to your job</li>
<li>Employee Referral Bonuses</li>
<li>Employee Recognition and Rewards Program</li>
<li>Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities</li>
<li>Employee Discounts</li>
<li>Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates</li>
</ul>
<p>Come join the leader in logistics and take your career in the right direction.</p>
<p>
Disclaimer:</p>
<p>
The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</p>
<p>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p>
<p>
We maintain a drug-free workplace and perform pre-employment substance abuse testing.</p>
<p>
This position requires the final candidate to successfully pass an E-Verify Check.</p>
<p>
More Information: http://www.dhs.gov/e-verify</p>
<p>
Company benefits are contingent upon meeting eligibility requirements and plan conditions.</p></div>

Tiger Analytics

<div><p>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
</p><p>We are seeking a Data Scientist with strong downstream refining experience to drive data-driven insights across refinery operations, economics, and reliability. This role partners closely with process engineers, operations, planning, maintenance, and commercial teams to optimize refinery performance using advanced analytics, machine learning, and domain-informed modeling.</p><p>
You&rsquo;ll work on high-impact problems such as yield optimization, energy efficiency, unit reliability, predictive maintenance, and margin improvement&mdash;turning complex refinery data into actionable intelligence.</p><p></p><p><b>
Analytics &amp; Modeling</b></p><ul><li>
Develop, validate, and deploy <b>statistical, ML, and optimization models</b> for refining operations</li><li>
Build models supporting:</li><li><ul><li>
Unit performance optimization (e.g., CDU/VDU, hydrotreating, cracking)</li><li>
Energy efficiency and utilities optimization</li><li>
Yield and cut-point optimization</li><li>
Predictive maintenance and reliability analytics</li><li>
Fouling, corrosion, and anomaly detection</li></ul></li><li><ul><li>
Apply time-series analysis to high-frequency plant data (DCS, historian)</li></ul></li></ul><p><b>
Refining Domain Collaboration</b></p><ul><li>
Partner with <b>process engineers, operations, maintenance, and planning teams</b> to translate refinery problems into analytical solutions</li><li>
Incorporate <b>first-principles knowledge</b> (mass &amp; energy balances, constraints, process limits) into data models</li><li>
Interpret model results in the context of refinery economics, safety, and operability</li></ul><p><b>
Communication &amp; Impact</b></p><ul><li>
Clearly communicate insights to <b>technical and non-technical stakeholders</b></li><li>
Quantify business impact (margin improvement, energy reduction, reliability gains)</li></ul><br>
<b>
Requirements</b><br>
<p></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Data Science, Chemical Engineering, Applied Mathematics, Statistics, or related field</b></li><li><b>
3&ndash;8+ years</b> of experience applying data science in <b>downstream refining or closely related process industries</b></li><li>
Strong proficiency in <b>Python or R</b> for data analysis and modeling</li><li>
Experience with <b>time-series data</b> and industrial process data</li><li>
Solid understanding of <b>refining processes and unit operations</b></li><li>
Experience working with <b>historians (PI), SQL databases, and unstructured data</b></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Advanced degree (MS or PhD)</li><li>
Familiarity with:</li></ul><p>
Optimization techniques (LP/NLP)</p><p>
Digital twin or hybrid physics + ML models</p><p>
Cloud platforms (AWS, Azure, GCP)nced Data Scientists.</p><b><br>
Benefits</b><p><br>
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
</p><p></p><p><b><i>Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</i></b></p></div>

Lead Data Scientist(Oil and Gas Industry)

American Bureau of Shipping (ABS)

<div><p>ABS is seeking an exceptional Software Engineer to join our Applied Artificial IntelIigence (AI) Practice Team. In this full-time role, you will design, build, and deploy intelligent systems that move beyond research into production at scale. You will focus on architecting and evaluating multi-agent systems, retrieval-augmented generation (RAG) pipelines, and fine-tuned large language models delivering AI capabilities that drive measurable business impact.
</p><p><b>Location:
</b></p><p>This position can be based in Houston, Texas; Knoxville, Tennessee; or Washington, DC.
</p><p><b>What You Will Do:
</b></p><ul><li><b>Build at the frontier: </b>Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized LLMs.
</li><li><b>Engineer full-stack solutions: </b>Deliver web and backend applications that seamlessly integrate AI, ensuring reliability, scalability, and strong user experience.
</li><li><b>Raise the bar on evaluation </b>: Develop rigorous truth sets, automated quality checks, and real-time monitoring pipelines to quantify performance and business outcomes.
</li><li><b>Prototype rapidly: </b>Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement.
</li><li><b>Shape best practices: </b>Contribute to internal standards for applied AI development, evaluation, and deployment at scale.
</li></ul><p><b>What You Will Need:
</b></p><p>Education and Experienc e
</p><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
</li><li>5+ years of software development experience, including 3+ years building production-grade AI systems.
</li><li>Proven track record delivering AI agents, RAG pipelines, or fine-tuned models with measurable business impact.
</li><li>Experience designing evaluation frameworks and truth sets for applied AI quality assurance.
</li></ul><p>Knowledge, Skills, and Abilities
</p><ul><li>Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, LangChain, etc.).
</li><li>Deep knowledge of RAG architectures, embeddings, vector databases, and retrieval optimization strategies.
</li><li>Experience with LLM fine-tuning, prompt design, and model performance evaluation.
</li><li>Full-stack engineering skills across modern web and backend technologies.
</li><li>Familiarity with MLOps practices: CI/CD, model versioning, monitoring, and deployment at scale.
</li><li>Strong grounding in applied information retrieval and vector-based systems.
</li></ul><p><b>Reporting Relationships:
</b></p><p>This role reports to a project manager and does not initially include direct reports.
</p><p><b>Salary Range:
</b></p><p>$90,000 - $150,000
</p><p>Starting salary is based on multiple factors including skillset and experience.</p></div>

Software Engineer, Applied Artificial Intelligence (AI)

Green Gas USA

<div><p>At GreenGas, we&rsquo;re helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We&rsquo;re a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy.</p><p></p><p><b><br>
Data Engineer - Intern</b><br>
<b>Location:</b> Houston, TX / Hybrid<br>
<b>Reports To:</b> Chief Information Officer<br>
<b>FLSA Status:</b> Non-Exempt</p><p></p><p><b><br>
Position Summary</b></p><p>
The Data Engineer Intern plays a supporting role in advancing the organization&rsquo;s data-driven initiatives. In this role, the intern assists in building and maintaining elements of the data infrastructure that enable data to be collected, stored, processed, and made accessible for analysis, reporting, and machine learning. Working under the guidance of experienced engineers, the IT Data Engineer Intern gains hands-on experience with data pipelines, data platforms, and data integration processes while contributing to projects that improve the availability, quality, and usability of organizational data.</p><p></p><p><b><br>
Key Responsibilities</b></p><ul><li><b>
Design and Implement ETL/ELT Processes:</b> Build robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move data from various sources (databases, APIs, streaming sources, external data providers) into data warehouses, data lakes, or other data repositories.</li><li><b>
Develop and Maintain Scalable Data Pipelines:</b> Create efficient and scalable data pipelines to handle large volumes of structured and unstructured data.</li><li><b>
Automate Data Workflows:</b> Data engineers will write code and scripts to automate repetitive tasks in data collection, processing, and delivery. Ie Databases to PBIs.</li><li><b>
Monitor and Troubleshoot Pipelines:</b> Continuously monitor pipeline performance, identify and resolve data-related issues, errors, and performance bottlenecks.</li></ul><p>
Data Architecture and Storage</p><ul><li><b>
Design and Maintain Data Architecture:</b> Selecting appropriate technologies for data storage such as relational databases, NoSQL databases, data lakes, data warehouses, cloud storage services) and designing efficient data models, schemas.</li><li><b>
Optimize Data Storage and Retrieval:</b> Work to ensure data is stored in a way that allows for high-performance queries and efficient analytical and operational use cases.</li><li><b>
Evaluate and Implement Data Solutions:</b> Research and implement new data technologies, tools, and frameworks to improve data infrastructure and processes.</li><li><b>
Cloud Platform Management:</b> Proficiency in Azure to deploy and manage data solutions in the cloud, including automation, databases and PowerBI&rsquo;s.</li></ul><p>
Data Quality, Governance, and Security</p><ul><li><b>
Ensure Data Quality and Integrity:</b> Implement validation rules, cleansing procedures, and monitoring systems to detect and rectify anomalies, ensuring data accuracy.</li><li><b>
Implement Data Governance Frameworks:</b> Define standards and policies for data usage, ensuring consistency, reliability, and compliance (e.g., GDPR, HIPAA).</li><li><b>
Manage Data Security and Access:</b> Implement security controls and access management policies to protect sensitive information from unauthorized access or theft.</li></ul><p>
Collaboration and Support</p><ul><li><b>
Provide Data Access Tools:</b> Set up dashboards, analytics tools, and API endpoints to make processed data accessible to end-users and applications.</li><li><b>
Document Technical Designs and Workflows:</b> Create comprehensive documentation for data pipelines, architecture, and processes to facilitate system transparency.</li><li><b>
Support Data-Driven Decision Making:</b> By providing clean, reliable, and accessible data, data engineers enable organizations to make informed business decisions.</li></ul><p></p><p><b><br>
Skills</b></p><ul><li><b>
Programming Languages:</b> Python, Java, SQL and related technologies</li><li><b>
Database Systems:</b> Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).</li><li><b>
Data Warehousing:</b> Experience with data warehousing and platforms (e.g., Snowflake).</li><li><b>
ETL Tools:</b> Proficiency with various ETL tools such as snowflake and Databricks</li><li><b>
Cloud Platforms:</b> Experience with Azure Suite, Jira DevOps and Ticketing system.</li><li><b>
Big Data Technologies:</b> (Hadoop, Spark, Kafka, Hive).</li><li><b>
Data Modeling and Schema Design:</b> Ability to design efficient data models.</li><li><b>
Scripting and Automation:</b> For automating data processes.</li></ul></div><p></p>

Data Engineer - Intern

The Friedkin Group

<div><div><ul><li>Houston, Texas</li><li>
Information Technology</li><li>
Regular Full-Time</li><li>
USAL</li><li>
20%</li><li>
No</li><li>
6415</li></ul><div></div><div><div><div><div><div><br>
</div></div></div></div></div></div><div></div><div><h2 class="jobSectionHeader"><b>
Job Description
</b></h2><div><p><b><i>Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders.</i></b></p><div></div><div><b><br>
Living Our Values</b><br>
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.<br>
<br>
<b>Why Join Us</b></div><br>
<ul><li>
Career Growth: Advance your career with opportunities for leadership and personal development.</li><li>
Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.</li><li>
Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.</li></ul><div><b>
Total Rewards</b><br>
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.</div><div></div><div><b><br>
A Day In The Life</b><br>
We are embarking on a strategic migration of our on-premises Microsoft SQL Server data warehouse to Azure, and we are seeking a motivated Data Engineer to play a key role in this transformation. The first phase of this initiative will be a complete lift-and-shift of our existing environment into Azure, followed by refactoring and modernizing many of our applications to fully leverage Azure-native tools and services. In this role, you will help transition legacy ETL processes currently built in C# and SQL stored procedures orchestrated through Windows Task Scheduler into scalable, maintainable pipelines using technologies such as Azure Data Factory, Synapse, and Functions. You will be instrumental in laying the foundation of our cloud-based data platform while also gaining the opportunity to learn and apply new Azure technologies as we modernize. Beyond migration, you will collaborate across teams and gain exposure to both front-end and back-end applications, giving you a well-rounded view of our evolving data ecosystem. This position is ideal for someone who enjoys problem-solving, learning new tools, and shaping the future of a modern cloud-first data environment.</div><div></div><div><br>
As a Data Engineer II you will:</div><ul><li>
Participate in the migration of our on-prem SQL Server Data Warehouse to Azure SQL / Synapse.</li><li>
Maintain and enhance existing C# ETL applications that call SQL stored procedures.</li><li>
Re-architect legacy ETL jobs using Azure-native services such as Azure Data Factory (ADF), Azure Functions, Logic Apps, or Azure Synapse Pipelines.</li><li>
Create and optimize stored procedures, views, and SQL scripts to ensure performance and reliability.</li><li>
Collaborate with front-end developers, business users, and other technical staff to support both front-end and back-end data needs.</li><li>
Implement CI/CD pipelines and manage source control for ETL/SQL components.</li><li>
Monitor and troubleshoot performance and reliability issues in production ETL pipeline</li></ul><div></div><div><b><br>
What We Need From You</b></div><br>
<ul><li>
Bachelor's Degree degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field; or equivalent practical experience Req and</li><li>
3&ndash;4 years of experience with: o Microsoft SQL Server (T-SQL, Stored Procedures, Performance Tuning) o C#/.NET application development (ideally in ETL or backend automation contexts) o Windows Task Scheduler or equivalent scheduling tools &bull; Experience working with Azure services, especially: o Azure Data Factory (pipelines, linked services, dataflows) o Azure SQL Database or Synapse Analytics o Azure Key Vault, Blob Storage, Functions (preferred) &bull; Strong understanding of data warehouse principles, ETL workflows, and data integration best practices. &bull; Familiarity with Git or other version control systems. &bull; Exposure to front-end technologies or integration with reporting tools and user interfaces. &bull; Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate). &bull; Experience modernizing legacy systems and ETL processes to cloud-based architectures. &bull; Knowledge of DevOps practices for data pipelines (CI/CD, Infrastructure as Code). &bull; Familiarity with machine learning workflows, LLM integration, or AI driven data enrichment techniques.</li><li>
SQL (Programming Language) Intermediate-Advanced Required</li><li>
Data Modeling Data modeling creates a visual representation of information or a system to communicate the activities or connections. Intermediate-Advanced Required</li><li>
Business Intelligence Business intelligence allows organizations to identify trends, assess strengths and weaknesses against competitors, and detect business problems to provide insight as to where risks and opportunities exist. Intermediate-Advanced Required</li><li>
Microsoft Azure Intermediate-Advanced Required</li><li>
Power BI Intermediate-Advanced Required</li><li>
Data Integration Data integration entails the combination of previously separate data sources to create a richer dataset. Intermediate-Advanced Required</li><li>
Data Governance Data governance defines who in an organization has authority and control over data and how that data may be used. Intermediate-Advanced Required</li><li>
Automation Automation refers to knowledge of technologies that minimize human intervention in processes. Intermediate-Advanced Required</li><li>
Troubleshooting (Problem Solving) Intermediate-Advanced Required</li><li>
SQL Server Integration Services (SSIS) Intermediate-Advanced Required</li><li>
Microsoft SQL Servers Intermediate-Advanced Required</li><li>
C# (Programming Language) C# (Programming Language) is a general-purpose, object-oriented programming language developed by Microsoft. Awareness-Developing Required</li><li>
Machine Learning Intermediate-Advanced Required</li></ul><div><b>
Physical and Environmental Requirements</b><div>
The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.</div></div><div></div><div><div><b><br>
Travel Requirements</b><br>
30%</div></div><div></div><div><div><b><br>
Join Us</b><br>
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates.</div></div><div></div><div><div><br>
#LI-JT1</div></div></div></div></div>

Data Engineer

Explore 159+ Machine learning engineer in Houston this March. Find roles across top companies and apply now to boost your career.

159 machine learning engineer jobs In Houston

Data Scientist

AI Computational Data Scientist

Data Scientist

Lead Data Scientist(Oil and Gas Industry)

Software Engineer, Applied Artificial Intelligence (AI)

Data Engineer - Intern

Data Engineer