senior analytics and data solutions specialist

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senior analytics and data solutions specialist Jobs in Houston

area sales manager, enabling technologies (neurosurgery) - houston, tx Jobs in Houston

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armed security officer (pt / n. houston)

asset & wealth management, private wealth management, financial analyst - houston Jobs in Houston

associate account executive - houston, tx - johnson & johnson medtech, surgery Jobs in Houston

data scientist houstontx

Ocean Blue Solutions Inc

<div>
 Data Scientist &ndash; AI/ML Focus
 
 
 12+ Months &ndash; Houston, TX (Hybrid x4)
 
 
 
 Job Description
 
 
 
 We are seeking a Data Scientist with a strong foundation in AI/ML to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions. Time Series Model Development expertise is required.
 
 
 This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.
 
 
 
 Key Responsibilities
 
 
 
 AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.
 
 
 
 Technical Skills:
 
 AI &amp; Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).
 
 
 
 Programming:
 
 Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
 
 
 
 Data Engineering &amp; SQL:
 
 Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
 
 
 
 Cloud &amp; MLOps:
 
 Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.
</div>

Data Scientist - Houston,TX

YO IT Consulting

<div>
 Contract
 
 
 Remote
 
 
 Role Description
 
 
 As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, directly helping to improve the world&rsquo;s premier AI models.
 
 
 Your Profile
 
 
 <ul>
 <li>
 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
 </li>
 <li>
 Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
 </li>
 <li>
 Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
 </li>
 <li>
 Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
 </li>
 <li>
 Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
 </li>
 <li>
 Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
 </li>
 <li>
 Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
 </li>
 <li>
 Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
 </li>
 <li>
 Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 </li>
 </ul>
</div>

R - Programming Software Engineer

MD Anderson Cancer Center

<div>The Department of Health Services Research conducts the highest quality health services research with the ultimate aims of optimizing health care delivery and improving outcomes for the prevention and treatment of cancer. 
 
MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention. The primary purpose of the Health Services Research Associate Data Scientist position is to develop and maintain mathematical, and simulation models related to research conducted in Health Services Research, develop optimization algorithms, computer code, perform statistical analysis and prepares reports, often associated with modeling cancer disease progression and medical decision making. 
 
The ideal candidate will experience with Markov decision processing or Monte Carlo simulation/modeling. 
 
Salary: Minimum $88,000 - Midpoint $110,000 - Maximum $132,000 
 
Work Location: Texas Medical Center 
 
Work Schedule: Onsite 2 - 3 days and as business needs. 
 
Responsibilities 
 
Mathematical Modeling 
 
<ul><li>Develop mathematical and optimization models to support cancer-related research.</li></ul> 
<ul><li>Implement optimization algorithms to solve analytical models to optimality.</li></ul> 
<ul><li>Validate analytical models using data from national and regional cancer registries and clinical trials.</li></ul> 
<ul><li>Maintain and update models to reflect evolving clinical practices.</li></ul> 
<ul><li>Learn and apply new optimization and approximation methods for efficient model solving.</li></ul> 

Simulation Modeling 
 
<ul><li>Build microsimulation or Monte Carlo simulation models of disease progression and cancer care processes.</li></ul> 
<ul><li>Validate simulation models using observational registry data and clinical trial data.</li></ul> 
<ul><li>Maintain and update simulation models as clinical standards evolve.</li></ul> 

Data Analysis &amp; Management 
 
<ul><li>Perform basic and advanced statistical analyses under guidance from statistical analysts.</li></ul> 
<ul><li>Assist faculty with the development of statistical methods for risk assessment and prediction.</li></ul> 
<ul><li>Manage datasets from national and regional cancer registries, clinical trials, medical billing systems, national surveys, and large claims databases including IBM MarketScan, Optum Clinformatics, and Medicare.</li></ul> 
<ul><li>Coordinate multiple concurrent projects efficiently.</li></ul> 

Research, Training &amp; Reporting 
 
<ul><li>Conduct literature reviews and learn relevant medical terminology.</li></ul> 
<ul><li>Support selection of study design, cohort definition, data analysis, and interpretation of results.</li></ul> 
<ul><li>Present at monthly lab meetings and assist in training trainees to use models and code.</li></ul> 
<ul><li>Prepare tables, figures, text summaries, memos, and components of scientific manuscripts.</li></ul> 

Computer Programming 
 
<ul><li>Develop computer code for data analyses, mathematical models, and simulation models using Julia, R, and Python.</li></ul> 
<ul><li>Create and maintain online code repositories using GitHub.</li></ul> 

EDUCATION 
 
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. 
 
WORK EXPERIENCE 
 
Required: Two years Scientific software or industry development/analysis. 
 
Preferred: Prior experience with Markov decision processing or Monte Carlo simulation/modeling. 
 
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. 
 
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. 
 
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 
 
Additional Information
 
<ul><li>Requisition ID: 179541
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 88,000
</li><li>Midpoint Salary: US Dollar (USD) 110,000
</li><li>Maximum Salary : US Dollar (USD) 132,000
</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> 
#LI-Hybrid</div>

Associate Data Scientist

Green Gas USA

<div>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. 
Data Engineer - Intern 
Location: Houston, TX / Hybrid 
Reports To: Chief Information Officer 
FLSA Status: Non-Exempt 
Position Summary
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. 
Key Responsibilities<ul><li>
Design and Implement ETL/ELT Processes: 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>
Develop and Maintain Scalable Data Pipelines: Create efficient and scalable data pipelines to handle large volumes of structured and unstructured data.</li><li>
Automate Data Workflows: Data engineers will write code and scripts to automate repetitive tasks in data collection, processing, and delivery. Ie Databases to PBIs.</li><li>
Monitor and Troubleshoot Pipelines: Continuously monitor pipeline performance, identify and resolve data-related issues, errors, and performance bottlenecks.</li></ul>
Data Architecture and Storage<ul><li>
Design and Maintain Data Architecture: 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>
Optimize Data Storage and Retrieval: Work to ensure data is stored in a way that allows for high-performance queries and efficient analytical and operational use cases.</li><li>
Evaluate and Implement Data Solutions: Research and implement new data technologies, tools, and frameworks to improve data infrastructure and processes.</li><li>
Cloud Platform Management: Proficiency in Azure to deploy and manage data solutions in the cloud, including automation, databases and PowerBI&rsquo;s.</li></ul>
Data Quality, Governance, and Security<ul><li>
Ensure Data Quality and Integrity: Implement validation rules, cleansing procedures, and monitoring systems to detect and rectify anomalies, ensuring data accuracy.</li><li>
Implement Data Governance Frameworks: Define standards and policies for data usage, ensuring consistency, reliability, and compliance (e.g., GDPR, HIPAA).</li><li>
Manage Data Security and Access: Implement security controls and access management policies to protect sensitive information from unauthorized access or theft.</li></ul>
Collaboration and Support<ul><li>
Provide Data Access Tools: Set up dashboards, analytics tools, and API endpoints to make processed data accessible to end-users and applications.</li><li>
Document Technical Designs and Workflows: Create comprehensive documentation for data pipelines, architecture, and processes to facilitate system transparency.</li><li>
Support Data-Driven Decision Making: By providing clean, reliable, and accessible data, data engineers enable organizations to make informed business decisions.</li></ul> 
Skills<ul><li>
Programming Languages: Python, Java, SQL and related technologies</li><li>
Database Systems: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).</li><li>
Data Warehousing: Experience with data warehousing and platforms (e.g., Snowflake).</li><li>
ETL Tools: Proficiency with various ETL tools such as snowflake and Databricks</li><li>
Cloud Platforms: Experience with Azure Suite, Jira DevOps and Ticketing system.</li><li>
Big Data Technologies: (Hadoop, Spark, Kafka, Hive).</li><li>
Data Modeling and Schema Design: Ability to design efficient data models.</li><li>
Scripting and Automation: For automating data processes.</li></ul></div>

Data Engineer - Intern

PARKHILL

<div>Overview:
<div>
The Senior Data &amp; AI Engineer will design, build, and maintain the infrastructure and systems that power data and AI use cases at Parkhill. This role focuses on data pipelines, production AI systems, and scalable platforms that enable data analyst/scientists and business teams to work efficiently with reliable, high-quality data.
</div>Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Design, implement, and maintain end-to-end data pipelines from AEC specific source systems (ex. Civil3D, Revit, Procore, etc.) into a use-case-ready environment</li><li>
Collaborate with business SMEs, data analysts/scientists, and the Digital Practice group to provide reliable and clean data</li><li>
Build and deploy machine learning and AI models into production environments, ensuring scalability and reliability</li><li>
Manage cloud platforms and data storage systems
</li><li>Develop APIs and platforms to enable integration of AI solutions into business use cases</li><li>
Optimize data systems for speed, efficiency, and reliability</li><li>
Mentor junior engineers and provide technical leadership for data infrastructure initiatives</li></ul>
Qualifications:
<ul><li>7+ years in data engineering, AI engineering, or software engineering roles, preferably in the AEC industry</li><li>
Experience with cloud platforms (Azure, AWS) and big data tools
</li><li>Strong proficiency in Python, SQL, and data engineering frameworks</li><li>
Experience deploying ML/AI models into production (Docker, Kubernetes)</li><li>
Familiarity with AI/ML frameworks for production use</li><li>
Experience with data visualization/BI tools (Power BI, Tableau) a plus</li><li>
Understanding of data security, governance, and compliance standards</li></ul></div>

Senior Data & AI Engineer

Quorum Business Solutions

<div>Data Engineer I
Location: Houston, TX or Dallas, TX
Model of Work: Hybrid in Texas (On-Site/In-Office a minimum of 2 days/week) 
We are currently recruiting a class of new graduate recruits to start with Quorum July 13, 2026 
Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic environment? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil &amp; gas transformation.
Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.
Overview
We are looking for a Data Engineer I to join our Data Platform team and help build the foundational data infrastructure that powers analytics, reporting, and AI/ML capabilities across Quorum&rsquo;s product portfolio. You will work alongside experienced data engineers and architects to design data models, build and maintain data pipelines, and ensure data quality across our platform.
This is an entry-level role ideal for recent graduates or early-career professionals who are passionate about data engineering and eager to grow. You&rsquo;ll gain hands-on experience with modern cloud data technologies while contributing to a strategic platform that serves 1,800+ energy companies worldwide. You will report to the Data Platform team manager and collaborate closely with product engineering teams, data architects, and data scientists.
Responsibilities<ul><li>
Build, test, and maintain ETL/ELT data pipelines that ingest, transform, and deliver data from multiple source systems into our centralized data platform</li><li>
Develop and maintain dimensional data models (fact and dimension tables) following established patterns and standards set by the data architecture team</li><li>
Write and optimize SQL queries and transformations for data processing workloads</li><li>
Understanding and ability to build medallion architecture within a Data Lake</li><li>
Implement and monitor data quality checks, validation rules, and alerting to ensure data accuracy and reliability</li><li>
Work within our cloud data platform (Databricks, Azure Data Services, or similar) to build scalable, production-grade data solutions</li><li>
Collaborate with product engineering teams to understand source system schemas, data flows, and business context across Quorum&rsquo;s Upstream, Measurement, and Midstream product lines</li><li>
Support the development and maintenance of data catalogs, documentation, and metadata to promote data discoverability and governance</li><li>
Participate in code reviews, pair programming, and team retrospectives to continuously improve engineering practices</li><li>
Troubleshoot data pipeline failures, investigate data anomalies, and implement fixes in a timely manner</li></ul> 
<ul><li>
Contribute to the team&rsquo;s agile development processes including sprint planning, estimation, and daily standups</li><li>
And other duties as assigned</li></ul> 
Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Statistics, Industrial Engineering, or a related technical field</li><li>
Strong proficiency in SQL, including the ability to write complex queries, joins, aggregations, and window functions</li><li>
Programming experience in Python, with exposure to data processing libraries (e.g., Pandas, PySpark) preferred</li><li>
Foundational understanding of data modeling concepts (relational, dimensional, star schema)</li><li>
Familiarity with cloud platforms, preferably Microsoft Azure (Azure Data Factory, Azure SQL, Azure Data Lake Storage, or similar services)</li><li>
Exposure to or coursework in ETL/ELT pipeline design and data integration concepts</li><li>
Basic understanding of version control systems (Git) and collaborative development workflows</li><li>
Strong analytical and problem-solving skills with attention to detail</li><li>
Excellent communication skills (written and verbal) and ability to work effectively in a team environment</li><li>
Eagerness to learn, take feedback, and grow in a fast-paced engineering organization</li></ul> 
Preferred Skills<ul><li>
Experience with Databricks, Apache Spark, or Delta Lake (including coursework, internships, or personal projects)</li><li>
Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory, or dbt</li><li>
Exposure to big data concepts and distributed computing frameworks</li><li>
Understanding of data governance principles, data lineage, and metadata management</li><li>
Familiarity with AI/ML concepts and how data engineering supports machine learning workflows (e.g., feature engineering, training dataset preparation)</li><li>
Internship or project experience in data engineering, analytics engineering, or business intelligence</li><li>
Knowledge of the oil and gas industry or energy sector is a plus but not required</li><li>
Experience with Agile/Scrum methodologies and tools such as Azure DevOps or Jira</li><li>
Experience on, or ability to work with Microsoft Fabric &amp; OneLake</li></ul> 
Additional Details<ul><li>
Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver&rsquo;s License Verification and passport/ID validation.</li><li>
Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.</li></ul> 
About Quorum Software 
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.
Quorum Diversity Statement: At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique. 
Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.
Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department
Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.</div>

Data Engineer I (Base Camp)

Memorial Hermann Health System

<div></div><div><div><div>JOB DESCRIPTION
</div><div>At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team.
Job Summary
Utilizing deep technical expertise the Data Engineer is responsible for designing and building the processes and infrastructure of data necessary for analytical and operational use cases. This role works with customers across the organization to identify opportunities for potential data sources, defines requirements for data onboarding to the Data Warehouse environments, and facilitates the internal processes to onboard and integrate data as well as prepare and optimize it for analytical use. This position works with customers at all levels across the organization to ensure analytical insights. Works across the organization to prepare data and support the design of analytical insights through reports, dashboard visualizations, data extracts, and data science models. Facilitates the discovery of new opportunities, supports data-informed decision-making for identified challenges and develops new and enhanced metrics to analyze ongoing performance metrics.
 
 
The Data Engineer reports to the Manager, Analytics Infrastructure on the Memorial Hermann Digital Analytics Team and leads creation of data flows to extract, transform and load the data and works closely with other members of the Digital Team and Analytics Community to ensure adherence to data quality and data governance standards.<h2 class="jobSectionHeader">
Job Description</h2>
MINIMUM QUALIFICATIONS
Education: Bachelor&rsquo;s Degree in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering, or four (4) years of equivalent experience is required.
Licenses/Certifications: SNOWPRO preferred
Experience / Knowledge / Skills:<ul><li>
Five (5) years of experience in data warehousing required</li><li>
Minimum of one (1) year experience in Snowflake preferred or experience in other data warehousing such as Redshift or BigQuery</li><li>
Expert SQL Experience required, SnowSQL preferred</li><li>
Demonstrated experience with all phases of the design and development life cycle of analytics applications and reporting tools</li><li>
Must have advanced programming language skills (i.e., Python, R, SQL)</li><li>
Must have advanced knowledge of extract, transform, and load (ETL) tools</li><li>
Experience with deploying models using Snowflake functions preferred</li><li>
Must be knowledgeable of best practices for designing highly-tuned datasets to meet business requirements and optimize end-user performance</li><li>
Experiencing working in cloud infrastructure, AWS preferred</li><li>
Experience with Tableau, Tableau Prep, and Tableau Server, preferred</li><li>
Experience utilizing HealtheIntent, preferred</li></ul>
PRINCIPAL ACCOUNTABILITIES<ul><li>
Responsible for analysis, design and development of analytics data pipelines.</li><li>
Completion and maintenance of source to target mapping across core systems.</li><li>
Responsible for working with customers to identify data on-boarding needs and implement end-to-end solutions.</li><li>
Build data flow for data warehousing projects.</li><li>
Proactively curate data sources to meet the needs of customers.</li><li>
Actively ensure data sources are tuned to handle data in the most efficient manner possible to maximize performance.</li><li>
Maintain and monitor data warehouse and ensure data uptime.</li><li>
Work with Analytics Team, specifically Data Architect, to identify, notify and manage downtimes with minimal disruptions.</li><li>
Educate broader employee base on data architecture methods to gain efficiencies and data insights.</li><li>
Serve as in-house resource for various types of data ETL methodologies and guide customers to the best option for quick turnaround of BI tasks.</li><li>
Assist in development of task plans including schedule and effort estimation.</li><li>
Participate in governance activities.</li><li>
Lead solution development across multiple analytic projects.</li><li>
Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann&rsquo;s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.</li></ul></div></div></div>

Data Engineer

Explore 245+ Data scientist houstontx in Houston this March. Find roles across top companies and apply now to boost your career.