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data analytics specialist

Rice Engineering

<div><p><b>Special Instructions to Applicants </b><b>:
</b></p><p>All interested applicants should attach a cover letter and resume in the Supporting Documents section of the application, preferably in a PDF format to avoid any formatting issues.
</p><p><b>About Rice:
</b></p><p>Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation&rsquo;s top 20 universities by U.S. News &amp; World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities.<br>
</p><p></p><p>Rice is also a wonderful place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice&rsquo;s culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name &mdash; RICE &mdash; Responsibility, Integrity, Community and Excellence.<br>
</p><p></p><p><b>Position Summary:
</b></p><p>Under the direction of the Senior Director of Business Analytics, the Development Analytics Specialist supports Development and Alumni Relations (DAR) by delivering reporting, dashboards, analytics, and business intelligence solutions that advance fundraising, donor engagement, prospect management, and campaign performance. The role partners with business stakeholders to translate operational needs into data-driven insights, analyze trends and performance metrics, develop forecasts, and support strategic decision-making. This position also promotes data quality, KPI governance, and effective use of analytics tools, including emerging AI-enabled technologies, while ensuring compliance with university data governance and security standards.
</p><p><b>Ideal Candidate Statement:
</b></p><p>The ideal candidate is an analytical and collaborative professional with experience in business intelligence, reporting, and data analytics who can translate complex data into actionable insights, partner effectively with diverse stakeholders, and leverage reporting tools, databases, and emerging technologies to support strategic decision-making and operational excellence.
</p><p><b>Workplace Requirements:
</b></p><p>This position is offered as a hybrid role, combining both in-office and remote work to provide flexibility and support collaboration. Per Rice policy 440 , work arrangements may be subject to change.
</p><p><i>*Exempt (salaried) positions under </i><i>FLSA </i><i>are not eligible for overtime </i>.
</p><p><b>Minimum Requirements:
</b></p><ul><li><p>Bachelor&rsquo;s Degree with emphasis in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Finance, or a related field.
</p></li><li><p>2+ years of experience in business intelligence, data analytics, reporting, statistical analysis, or a related field
</p></li></ul><p><b>Skills:
</b></p><ul><li><p>Strong analytical and problem-solving skills.
</p></li><li><p>Strong written, verbal, and presentation communication skills.
</p></li><li><p>Ability to communicate technical concepts to non-technical audiences.
</p></li><li><p>Strong organizational and time management skills.
</p></li><li><p>Attention to detail and accuracy.
</p></li><li><p>Ability to manage multiple priorities and projects.
</p></li><li><p>Ability to work collaboratively across departments.
</p></li><li><p>Proficiency with Microsoft Office Suite.
</p></li></ul><p><b>Preferences:
</b></p><ul><li><p>3+ years of related experience described above.
</p></li><li><p>Experience in higher education, healthcare, nonprofit, or advancement organizations.
</p></li><li><p>Experience with data visualization tools such as Tableau or Power BI.
</p></li><li><p>Experience working with CRM systems, preferably Blackbaud CRM.
</p></li><li><p>Strong SQL skills and experience querying relational databases (Microsoft SQL Server, Oracle, or similar).
</p></li><li><p>Experience developing dashboards, KPIs, and performance metrics.
</p></li><li><p>Knowledge of fundraising operations, advancement services, or prospect development.
</p></li><li><p>Experience working with data warehouses and business intelligence platforms.
</p></li><li><p>Familiarity with AI-enabled analytics tools and automation technologies.
</p></li></ul><p><b>Essential Functions:
</b></p><ul><li><p>Develops, maintains, and enhances dashboards, reports, visualizations, and analytics solutions that support fundraising, donor engagement, prospect management, and campaign strategy.
</p></li><li><p>Partners with stakeholders to gather business requirements and translate them into actionable reporting, analytics, and business intelligence solutions.
</p></li><li><p>Analyzes fundraising, constituent, portfolio, campaign, and engagement data to identify trends, measure performance, develop forecasts, and support strategic decision-making.
</p></li><li><p>Defines, develops, and maintains key performance indicators (KPIs), reporting standards, business rules, and documentation to support consistent and sustainable reporting practices.
</p></li><li><p>Writes SQL queries and leverages CRM, data warehouse, and business intelligence platforms to extract, validate, integrate, and analyze data from multiple sources.
</p></li><li><p>Ensures data quality, accuracy, integrity, and compliance with established data governance and reporting standards.
</p></li><li><p>Evaluates fundraising initiatives, portfolio performance, campaign progress, and operational effectiveness, providing data-driven recommendations for improvement.
</p></li><li><p>Develops and supports self-service reporting capabilities and provides guidance to users on analytics tools and resources.
</p></li><li><p>Evaluates and supports the implementation of emerging analytics technologies, including AI-enabled tools, in accordance with university policies and governance standards.
</p></li><li><p>Manages multiple analytics projects and priorities while maintaining awareness of industry trends, business intelligence tools, and fundraising analytics best practices.
</p></li><li>Performs all other duties as assigned
</li></ul><p><b>Additional Functions:
</b></p><ul><li><p>Collaborates regularly with Development and Alumni Relations staff through meetings, email, Microsoft Teams, Zoom, and other communication platforms.
</p></li><li><p>Participates in departmental and university committees, meetings, and professional development activities as appropriate.
</p></li></ul><p>Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits-overview<br>
</p><p></p><p>Rice Mission and Values: Mission and Values | Rice University<br>
</p><p></p><p><i>Rice University </i><i>is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University&rsquo;s Human Resources Office via email at </i><i>facstaffada@rice.edu </i><i>for </i><i>support.
</i></p><p><i>If you have any additional questions, please email us at </i><i>jobs@rice.edu </i><i>. Thank you for your interest in employment with Rice University</i></p></div>

Development Analytics Specialist

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Data Analytics Associate uses data to design, create, and maintain analyses, reports, and research data pipelines in support of research and clinical operations within the Department of Pediatrics, Division of Hematology-Oncology. The position supports investigators and clinical teams at the Texas Children's Cancer and Hematology Center by building research-ready datasets, performing analyses using established analytic methods, and developing reports and visualizations. The associate applies existing AI-enabled analytical tools to improve efficiency and quality. The role fosters data-driven decision-making by providing consultative analytics support, applying established methods rather than developing novel algorithms.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Data Pipeline Development and Data Preparation (35% OF TIME)<ul><li>
Builds and maintains research-ready datasets from clinical, registry, and operational sources. Develops and maintains databases, data collection systems, and research data pipelines.</li><li>
Supports the integration and preparation of large volumes of data. Applies existing AI-enabled tools such as code assistants and automated extraction to accelerate preparation while maintaining rigor and reproducibility.</li></ul></li><li>
Statistical Analysis and Reporting (35% OF TIME)<ul><li>
Conducts statistical analyses supporting research projects, manuscripts, quality improvement, and clinical operations, and provides ongoing reports.</li><li>
Applies descriptive statistics and standard predictive modeling approaches. Interprets trends and patterns in complex data sets.</li></ul></li><li>
Data Visualization and Dashboards (15% OF TIME)<ul><li>
Develops dashboards, visualizations, tables, and figures that make findings accessible to non-technical audiences.</li></ul></li><li>
Documentation, Reproducibility, and Collaboration (15% OF TIME)<ul><li>
Maintains reproducible, version-controlled code and follows data governance, de-identification, and HIPAA requirements.</li><li>
Prepares documentation including data dictionaries and codebooks. Collaborates with faculty, research staff, and clinical teams to scope requirements.</li><li>
Performs other duties as assigned.</li></ul></li><li>
Builds and maintains research-ready datasets from clinical, registry, and operational data sources for studies within the Division of Hematology-Oncology.</li><li>
Conducts statistical analyses supporting research projects, manuscripts, quality improvement, and clinical operations.</li><li>
Applies existing AI-enabled analytical tools (e.g., code assistants, automated data extraction, large language models) to accelerate data preparation and analysis while maintaining rigor and reproducibility.</li><li>
Collaborates with faculty, research staff, and clinical teams to define requirements and deliver analyses, reports, and dashboards.</li><li>
Maintains reproducible, version-controlled code and adheres to data governance, de-identification, and HIPAA requirements.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
Bachelor's degree.</li><li>
Two years of relevant experience.<br>
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2></div><div><ul><li>
Master's degree in data science, biostatistics, epidemiology, computer science, or a related quantitative field.</li><li>
Proficiency in Python and/or R and SQL, demonstrated ability to build research data pipelines and conduct statistical analyses, experience applying predictive models and data visualization, comfort using existing AI-enabled analytical tools, familiarity with clinical, EHR, or registry data, reproducible research practices including version control. Healthcare or research experience preferred.</li></ul></div></div></div><p></p><p><b><br>
Work Authorization Requirement:</b></p><p><b>
This position is not eligible for visa sponsorship.</b> Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.</p><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div><p></p>

Data Analytics Associate

Job Description
<br><br>
<b>Job Title:</b> Lead, Data Analytics (Undergraduate Medical Education)
<br><b>Division:</b> School of Medicine
<br><b>Work Arrangement:</b> Hybrid
<br><b>Location:</b> Houston, TX
<br><b>Salary Range:</b> $111,118 - $130,728
<br><b>FLSA Status:</b> Exempt
<br><b>Work Schedule:</b> Monday – Friday, 8 a.m. – 5 p.m.
<br><br>
Summary
<br><br>
The Lead, Data Analytics position will support the Baylor College of Medicine School of Medicine MD program in its management of complex educational data. This position will support the integration of data sources to create generation of automated reports and dashboards that can be used for the longitudinal tracking of student and program performance. The incumbent will serve as a liaison between the MD program, the platforms in which data is collected, and BCM Information Technology units to ensure data is stored and maintained appropriately. Looking for an individual with demonstrated experience and ability to work independently in the creation of systems and dashboards.
<br><br>
Job Duties
<br>Leads the design, evolution, and long‑term stewardship of the School of Medicine’s data storage and reporting ecosystem, high‑quality data assets, and reliable analytics capabilities that support decision‑making.
<br>Leads and oversees end‑to‑end system integration efforts with IT, driving strategic collaboration to enhance data governance, optimize data workflows, and strengthen program‑wide data management infrastructure.
<br>Utilizes data architecture to identify, design, and implement automation and efficiency improvements across data collection, integration, and reporting workflows, ensuring scalable, reliable, and data operations.
<br>Develops, standardizes, and oversees data‑capture workflows across multiple systems (VidaNova, Jenzabar, NBME, ExamSoft, etc.), ensuring seamless integration, high‑quality data, and reliable reporting.
<br>Oversees and coordinates the development, validation, and deployment of recurring and ad hoc reports, including requirements definition, testing, and distribution.
<br>Creates and maintains automated dashboards and data visualizations in Power BI to facilitate the real-time review of student and program performance for actionable insights into student outcomes and program performance.
<br>Serves as the main expert and is responsible for the identification, integration, and preparation of large volumes of student and program data.
<br>Prepares high quality documentation that follows industry standards and aligns with BCM and IT requirements.
<br>Identifies, analyzes, and interprets trends or patterns in complex data sets.
<br>Leads stakeholder engagement and communication strategies to support adoption and effective use of reports and dashboards to meet the needs of educational programs.
<br>Supports technical delivery aligned with business requirements from customers, and transforms the requirements into data warehouse schema and data processes.
<br>Serves as a backup to the ongoing support of systems for all educational programs (e.g., VidaNova, AMBOSS).
<br>May provide guidance, training, or mentorship to users and team members across varying levels of data literacy.
<br>This position will have a dotted reported line to Office of Informational Technology and will regularly collaborate with the IT data architecture team and educational IT team.
<br>Meets with various SOM leaders and committee representatives to understand the reporting needs of stakeholders within BCM.
<br>Assists the EAR team with proctoring of exams, including serving as a Chief Proctor in alignment with NBME protocols.
<br>Works with other EAR faculty to integrate predictive models, when appropriate, and statistical methods into dashboards.
<br>Performs other duties as assigned.
<br>Minimum Qualifications
<br>Bachelor's degree. Four years of relevant experience may substitute for degree requirement.
<br>Six years of relevant experience.
<br>Preferred Qualifications
<br>3+ years of experience in an educational setting.
<br><br>
<b>Work Authorization Requirement:</b><br>
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.
<br><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
<br><br>
<b>Requisition ID:</b> 25817

Lead, Data Analytics (Undergraduate Medical Education)

Region 4 Education Service Center

<div><p><b>Classification: </b>Admin/Prof
</p><p><b>Exemption Status/Test: </b>Exempt
</p><p><b>Job Grade: </b>5
</p><p><b>Department: </b>IT Solutions
</p><p><b>Reports To: </b>Department Director<br>
</p><p></p><p><b>Job Goal:
</b></p><p>Design, build, and maintain scalable cloud-based data platforms, analytics pipelines, and business intelligence solutions that support escWorks, DevelopWorks (NextGen), and other Region 4 enterprise systems. This role partners closely with the Solution Architect to deliver trusted, high-quality dashboards, reports, and insights using AWS, Snowflake, Power BI, and related technologies.<br>
</p><p><br>
<b>Qualifications:
</b><br>
<b>Education
</b></p><ul><li>Bachelor&rsquo;s degree in a technical field such as Math, Engineering, Computer Science, or Information Technology
</li></ul><p><b>Experience:
</b></p><div><ul><li>4+ years of experience in data analytics, data engineering, or business intelligence roles
</li></ul><ul><li>Strong experience working in Agile environments and delivering work through sprint-based development
</li></ul><ul><li>Hands-on experience building dashboards and reports using Power BI, AWS QuickSight, or similar tools
</li></ul><ul><li>Advanced SQL experience across cloud data platforms (Snowflake, Redshift, Aurora, or equivalent)
</li></ul><ul><li>Experience designing and maintaining cloud-based data pipelines using AWS services (Glue, Athena, Lambda, S3, DMS, etc.)
</li></ul><ul><li>Experience supporting reporting and analytics for customer-facing or enterprise platforms
</li></ul><ul><li>Experience migrating legacy reporting solutions (e.g., .NET, Crystal Reports, SSRS) to modern cloud BI platforms
</li></ul><ul><li>Experience working with structured and semi-structured data
</li></ul><ul><li>Experience using Python, R, or similar languages for data transformation and analysis
</li></ul>Strong understanding of data quality, data governance, and reporting best practices<br>
<ul><li>
</li></ul></div><p></p><p><b>Special Knowledge and Skills:
</b></p><div><ul><li>Strong ability to collaborate cross-functionally with engineering, product, customer engagement, and business stakeholders
</li></ul><ul><li>Ability to manage work through Jira, including epics, stories, documentation, and delivery tracking
</li></ul><ul><li>Excellent communication skills with the ability to translate technical concepts into business-friendly insights
</li></ul><ul><li>Highly accountable, self-directed, and delivery-focused
</li></ul><ul><li>Customer- and outcome-oriented mindset
</li></ul><ul><li>Strong analytical, problem-solving, and documentation skills
</li></ul>Comfortable working in fast-paced, evolving environments<br>
<ul><li>
</li></ul></div><p></p><p><b>Preferred Qualifications
</b></p><div><ul><li>Experience in the education or public-sector environment
</li></ul><ul><li>Experience supporting enterprise-scale platforms or multi-tenant systems
</li></ul><ul><li>Experience with Snowflake data modeling and performance optimization
</li></ul><ul><li>Familiarity with CI/CD, infrastructure-as-code, and DevOps practices for data platforms
</li></ul>Experience supporting AI/ML-enabled analytics or advanced reporting use cases<br>
<ul><li>
</li></ul></div><p></p><p><b>Major Responsibilities:
</b></p><div><ul><li>Partner closely with the Solution Architect and Product Teams to design and implement the data and analytics architecture for escWorks and NextGen platforms
</li></ul><ul><li>Build and maintain scalable cloud data pipelines and curated datasets using AWS and Snowflake
</li></ul><ul><li>Develop and support dashboards, reports, and analytics solutions using Power BI, AWS QuickSight, or equivalent tools
</li></ul><ul><li>Gather and document reporting requirements from internal teams and external customers
</li></ul><ul><li>Ensure data accuracy, consistency, and reliability across platforms and reports
</li></ul><ul><li>rt data migrations and modernization efforts from legacy systems to cloud-based solutions
</li></ul><ul><li>Maintain clear documentation of data models, pipelines, and reporting logic
</li></ul><ul><li>Participate actively in Agile ceremonies and contribute to sprint planning and delivery
</li></ul><ul><li>Support production analytics systems and respond to data-related incidents or escalations
</li></ul><ul><li>Continuously evaluate and adopt new technologies and best practices in data and analytics
</li></ul>Occasionally, work outside normal business hours to support deployments or critical issues<br>
<ul><li>
</li></ul></div><p></p><p><b>Supervisory Responsibilities:
</b></p><p>None<br>
</p><p></p><p><b>Physical Demands/Environmental Factors/ Mental Demands:
</b></p><p>Frequent use of standard office equipment; prolonged sitting; occasional bending/stooping, pushing/pulling, and twisting; repetitive hand motions (keyboarding and use of mouse); occasional light lifting and carrying (less than 15 pounds); may work prolonged and irregular hours; work with frequent interruptions; maintain emotional control under pressure.</p></div>

Data Engineer

Weatherford

<div><div><div><div><p>Job Purpose
</p><p>We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation.
</p><p>The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment.<br>
</p><p></p><p>Roles &amp; Responsibilities
</p><ul><li>Design and develop data pipelines for cleaning, validation, and analysis of large datasets
</li><li>Analyze structured and unstructured data to identify trends, patterns, and anomalies
</li><li>Develop and deploy machine learning models and statistical algorithms
</li><li>Automate data workflows and analysis using modern programming tools
</li><li>Modeling &amp; Technical Contributions
</li><li>Build predictive and physics-informed models to support tool development and characterization
</li><li>Work with simulation outputs and experimental data to improve system understanding
</li><li>Develop custom tools and frameworks for advanced analytics
</li><li>Collaboration &amp; Delivery
</li><li>Partner with engineers, physicists, and product teams to translate business needs into analytical solutions
</li><li>Communicate insights and results effectively to technical and non-technical stakeholders
</li>Support project planning, technical documentation, and knowledge sharing<br>
<li>
</li></ul><p></p><p>Experience &amp; Education
</p><p>REQUIRED
</p><ul><li>Master's degree in applied mathematics, Data Science or Physics
</li><li>5+ years&rsquo; experience in the Oil and Gas industry
</li><li>Strong analytical and problem-solving skills
</li><li>Excellent communication and presentation abilities
</li><li>Proficiency in managing and interpreting large datasets
</li><li>Knowledge of tool physics and tool characterization
</li><li>Experience with machine learning techniques
</li>Experience with statistical and data mining techniques<br>
<li>
</li></ul><p></p><p>PREFERRED
</p><ul><li>Experience using C, C++, Java, JavaScript, Python, R, SQL
</li>Expertise in areas such as formation evaluation, production logging and well integrity.<br>
<li>
</li></ul><p></p><p>Knowledge, Skills &amp; Abilities
</p><p>REQUIRED
</p><ul><li>Excellent problem-solving, analytical, and decision-making skills, with the ability to think critically and develop innovative solutions.
</li><li>Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
</li><li>Knowledge of industry standards, regulations, and best practices related to health, safety, and environmental compliance.
</li>Self-starter, Curious, ability to research independently and integrate knowledge from various sources into working solutions.<br>
<li>
</li></ul><p></p><p>PREFERRED
</p><ul><li>Active participation in technical societies, forums and open-source communities is a plus.
</li>Published technical papers, presented in industry conferences.<br>
<li>
</li></ul><p></p><br>
<p>Travel Requirement:
</p>This role may require domestic and potentially international travel of up to: 10-25%<br>
<ul><li>
</li></ul></div></div><div></div><p>#LI-KP1</p></div></div>

Data Scientist - Wireline

SynergenX Health Holdings

<div><h1 class="jobSectionHeader"><b>Junior Data Engineer</b></h1><p><b>
SynergenX Health</b><br>
<b>Houston, TX 77070</b></p><p><b>
Salary:</b> $110,000&ndash;$125,000 annually</p><p><b>
Job Type:</b> Full-Time | Exempt</p><p><b>
Schedule:</b> Monday&ndash;Friday | 8:00 AM &ndash; 5:00 PM</p><p><b>
Work Location:</b> 100% Onsite &ndash; Northwest Houston Corporate Headquarters</p><p></p><h1 class="jobSectionHeader"><b>
Launch Your Data Engineering Career with a Growing Healthcare Leader</b></h1><p>
At SynergenX Health, technology and data are at the heart of how we improve patient care and drive business decisions. As one of the nation's leading hormone optimization and wellness organizations, we're investing in a modern Azure-based data platform to support our continued growth.</p><p>
We're looking for a motivated <b>Junior Data Engineer</b> with <b>2&ndash;3 years of professional experience</b> who is eager to expand their technical skills while contributing to enterprise-scale data solutions. This is an outstanding opportunity to work alongside experienced data professionals, gain hands-on experience with cloud technologies, and help build the future of healthcare analytics.</p><p>
This position works directly with our Data Engineering team and business stakeholders and requires daily onsite collaboration at our Corporate Headquarters in Northwest Houston.</p><p></p><h1 class="jobSectionHeader"><b>
What You'll Do</b></h1><ul><li>
Develop and maintain enterprise ETL/ELT data pipelines.</li><li>
Write, optimize, and troubleshoot SQL queries and stored procedures.</li><li>
Support enterprise data integration across multiple business systems.</li><li>
Build and maintain Power BI datasets and reporting solutions.</li><li>
Monitor scheduled data jobs and resolve data quality issues.</li><li>
Assist with Azure Data Factory data pipelines and cloud-based data solutions.</li><li>
Support Azure SQL databases and data warehouse initiatives.</li><li>
Develop basic automation using Python.</li><li>
Assist with API integrations and data imports.</li><li>
Document technical processes, workflows, and data architecture.</li><li>
Participate in Agile planning, testing, and code reviews.</li><li>
Collaborate with senior engineers on enterprise data initiatives.</li><li>
Continuously develop new technical skills and stay current with Microsoft Azure technologies.</li></ul><p></p><h1 class="jobSectionHeader"><b>
What You'll Bring</b></h1><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li>
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.</li><li><b>
2&ndash;3 years of professional Data Engineering or SQL Development experience.</b></li><li>
Experience writing SQL queries and stored procedures.</li><li>
Experience supporting or developing ETL/ELT data pipelines.</li><li>
Experience with Microsoft SQL Server.</li><li>
Working knowledge of Python.</li><li>
Experience with Microsoft Power BI.</li><li>
Exposure to Microsoft Azure technologies such as Azure Data Factory, Azure SQL Database, or Azure Storage.</li><li>
Understanding of relational database concepts and data modeling fundamentals.</li><li>
Strong analytical, troubleshooting, and problem-solving skills.</li><li>
Excellent verbal and written English communication skills with the ability to collaborate effectively across technical and business teams.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Ideal Technical Stack</b></h1><p>
Candidates should have experience with many of the following technologies:</p><h3 class="jobSectionHeader"><b>
Databases</b></h3><ul><li>
Microsoft SQL Server</li><li>
Azure SQL Database</li><li>
SQL Query Development</li><li>
Stored Procedures</li><li>
Query Optimization</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering</b></h3><ul><li>
Azure Data Factory</li><li>
ETL / ELT Development</li><li>
Data Integration</li><li>
Data Validation</li><li>
Data Warehousing Fundamentals</li></ul><h3 class="jobSectionHeader"><b>
Programming</b></h3><ul><li>
SQL</li><li>
Python</li><li>
REST APIs</li><li>
JSON</li></ul><h3 class="jobSectionHeader"><b>
Business Intelligence</b></h3><ul><li>
Microsoft Power BI</li><li>
Power Query</li><li>
Basic DAX</li></ul><h3 class="jobSectionHeader"><b>
Cloud</b></h3><ul><li>
Microsoft Azure</li><li>
Azure Storage</li></ul><h3 class="jobSectionHeader"><b>
Version Control</b></h3><ul><li>
Git</li><li>
Azure DevOps (Preferred)</li></ul><h3 class="jobSectionHeader"><b>
Preferred Experience</b></h3><ul><li>
Healthcare data</li><li>
Enterprise reporting</li><li>
Data governance concepts</li><li>
Azure Synapse Analytics (Exposure)</li><li>
Azure Databricks (Exposure)</li></ul><p></p><h1 class="jobSectionHeader"><b>
Why Join SynergenX?</b></h1><ul><li>
Competitive salary: <b>$110,000&ndash;$125,000</b></li><li>
Medical, Dental, and Vision Insurance</li><li>
401(k) with Company Match</li><li>
Paid Time Off and Paid Holidays</li><li>
Company-Paid Life Insurance</li><li>
Short &amp; Long-Term Disability</li><li>
Employee Assistance Program</li><li>
Professional development opportunities</li><li>
Stable, rapidly growing healthcare organization</li><li>
Exposure to enterprise Azure technologies</li><li>
Opportunity to learn from experienced Data Engineers and technical leadership</li></ul><p></p><h1 class="jobSectionHeader"><b>
Work Environment</b></h1><p>
This is a <b>100% onsite</b> position located at our Corporate Headquarters in <b>Houston, Texas (77070).</b></p><p>
Candidates must be able to work onsite Monday through Friday beginning on their first day of employment.</p><p><b>
Local Houston-area candidates who can reliably commute to our Northwest Houston office are strongly preferred.</b></p><p></p><h1 class="jobSectionHeader"><b>
Employment Requirements</b></h1><ul><li>
Must be legally authorized to work in the United States.</li><li><b>
SynergenX Health is unable to provide current or future employment visa sponsorship for this position.</b></li><li>
Successful completion of all pre-employment screening requirements.</li><li>
Occasional travel may be required.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Why This Opportunity?</b></h1><p>
This is more than an entry-level Data Engineering position&mdash;it's an opportunity to build a long-term career with a company investing heavily in its technology future. You'll gain hands-on experience with enterprise Azure data platforms, collaborate with experienced engineers, and work on projects that directly support executive decision-making and improve patient care across a nationwide healthcare organization.</p><p>
If you're passionate about data, enjoy solving technical challenges, and are ready to grow your career with a collaborative team, we'd love to hear from you.</p><p></p><h1 class="jobSectionHeader"><b>
Equal Employment Opportunity</b></h1><p>
SynergenX Health is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and making employment decisions based on qualifications, merit, and business needs. We consider all qualified applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state, or local law.</p><p></p><p><b><i>
***Please do not email the company or company representatives directly. Applications must be submitted here in order to be considered***</i></b></p><p>
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Junior Data Engineer

Love’s Travel Stops

<div><div><div><p>Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) &ndash; 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development *</p><p></p><p><br>
This position is based in Houston, Texas office; candidates in Houston and the surrounding area are required.</p><p></p><p><br>
Welcome to Love's! The Data Engineer III designs, builds, and supports scalable data solutions that advance Love&rsquo;s enterprise data and analytics capabilities. This role develops and optimizes data pipelines, data models, and integration frameworks that transform data into reliable, accessible, and actionable information.</p></div><p></p><div><p><br>
 The Data Engineer III partners with Technology teams, business stakeholders, data scientists, data analysts, vendors, and other data consumers to operationalize data and analytics solutions. The position also provides technical guidance on data architecture, promotes reusable design standards, and uses automation and AI-powered development tools to improve delivery speed, quality, and consistency.</p></div><div><p>
 MAJOR RESPONSIBILITIES</p></div><div><ul><li><p>
Design, build, maintain, and optimize data pipelines supporting data acquisition, ingestion, transformation, staging, modeling, and delivery.</p></li></ul></div><div><ul><li><p>
Develop scalable data integration solutions using ETL/ELT, data replication, change data capture, messaging technologies, APIs, and other data movement methods.</p></li></ul></div><div><ul><li><p>
Evaluate and qualify source data to support master, reference, and transactional data requirements.</p></li></ul></div><div><ul><li><p>
Lead data assessment, mapping, migration, validation, enrichment, and loading activities.</p></li></ul></div><div><ul><li><p>
Design reusable data models and solution architectures using established data engineering and modeling practices.</p></li></ul></div><div><ul><li><p>
Provide architectural and technical input to ensure solutions align with enterprise data strategies, standards, and long-term platform objectives.</p></li></ul></div><div><ul><li><p>
Build and support data solutions across data warehouse, data lake, data hub, and related data management environments.</p></li></ul></div><div><ul><li><p>
Integrate large, complex, and heterogeneous datasets from internal and external sources.</p></li></ul></div><div><ul><li><p>
Design solutions that are reliable, secure, scalable, maintainable, and focused on automation and operational efficiency.</p></li></ul></div><div><ul><li><p>
Develop and maintain complex SQL queries, procedures, transformations, and data validation processes.</p></li></ul></div><div><ul><li><p>
Apply DataOps and DevOps practices, including version control, automated builds, testing, deployment, monitoring, and release management.</p></li></ul></div></div><div><div><ul><li><p>
Troubleshoot complex data quality, integration, performance, and production support issues.</p></li></ul></div><div><ul><li><p>
Participate in front-end and back-end development activities when needed to deliver integrated, end-to-end data solutions.</p></li></ul></div><div><ul><li><p>
Assess how architecture decisions affect solution design, development, testing, implementation, and ongoing support.</p></li></ul></div><div><ul><li><p>
Collaborate with business and Technology partners to translate data requirements into effective technical solutions.</p></li></ul></div><div><ul><li><p>
Use AI-powered development tools, such as GitHub Copilot, Claude Code, or similar technologies, to accelerate delivery, reduce defects, improve documentation, strengthen automation, and increase consistency throughout the DataOps lifecycle.</p></li></ul></div><div><ul><li><p>
Research and recommend tools, technologies, and practices that improve data engineering capabilities and team productivity.</p></li></ul></div><div><ul><li><p>
Provide technical guidance, knowledge sharing, and support to other team members.</p></li></ul></div><div><ul><li><p>
Perform other job-related duties as assigned.</p></li></ul></div><div><p>
 EXPERIENCE</p></div><div><ul><li><p>
Five or more years of progressively responsible experience in data engineering, data integration, data warehousing, or a related technical discipline required.</p></li></ul></div><div><ul><li><p>
Experience designing, building, and supporting enterprise-level data pipelines and integration solutions required.</p></li></ul></div><div><ul><li><p>
Experience working with large, complex, and heterogeneous datasets required.</p></li></ul></div><div><ul><li><p>
Experience supporting data warehouse, data lake, data hub, or similar data management architectures required.</p></li></ul></div><div><ul><li><p>
Experience working in cloud-based data platforms and modern data engineering environments required.</p></li></ul></div><div><p>
 HARD SKILLS</p></div><div><ul><li><p>
Advanced knowledge of data engineering, data integration, and data warehousing principles.</p></li></ul></div><div><ul><li><p>
Strong experience with cloud data warehouse platforms, preferably Snowflake.</p></li></ul></div><div><ul><li><p>
Strong experience developing and optimizing complex SQL.</p></li></ul></div></div><div><div><ul><li><p>
Strong experience with ETL and ELT tools and methodologies.</p></li></ul></div><div><ul><li><p>
Strong experience with data modeling and reusable solution architecture practices.</p></li></ul></div><div><ul><li><p>
Strong experience with Git or similar version-control tools.</p></li></ul></div><div><ul><li><p>
Strong understanding of automated build, testing, deployment, and release-management practices.</p></li></ul></div><div><ul><li><p>
Experience with data replication and change data capture tools, such as Fivetran or HVR.</p></li></ul></div><div><ul><li><p>
Experience with messaging and data movement technologies, such as Azure Service Bus, Apache NiFi, or Apache Kafka.</p></li></ul></div><div><ul><li><p>
Experience with APIs and API-based data acquisition and integration.</p></li></ul></div><div><ul><li><p>
Knowledge of data governance, metadata management, data quality, and master data concepts.</p></li></ul></div><div><ul><li><p>
Understanding of solution architecture and its impact on design, development, testing, deployment, and support.</p></li></ul></div><div><ul><li><p>
Experience with dbt strongly preferred.</p></li></ul></div><div><ul><li><p>
Experience with Python or R preferred.</p></li></ul></div><div><ul><li><p>
Experience with Microsoft SQL Server preferred.</p></li></ul></div><div><ul><li><p>
Experience with SAP HANA preferred.</p></li></ul></div><div><ul><li><p>
Experience with Tableau or Power BI preferred.</p></li></ul></div><div><ul><li><p>
Experience using AI-powered development and productivity tools preferred.</p></li></ul></div><div><p>
 SOFT SKILLS</p></div><div><ul><li><p>
Ability to think strategically while managing detailed technical requirements.</p></li></ul></div><div><ul><li><p>
Ability to work effectively through ambiguity and changing priorities.</p></li></ul></div><div><ul><li><p>
Strong analytical, problem-solving, and troubleshooting skills.</p></li></ul></div></div><div><div><ul><li><p>
Ability to manage multiple competing priorities in a fast-paced environment.</p></li></ul></div><div><ul><li><p>
Strong collaboration and relationship-management skills.</p></li></ul></div><div><ul><li><p>
Ability to communicate technical information clearly to technical and nontechnical audiences.</p></li></ul></div><div><ul><li><p>
Strong written and verbal communication skills.</p></li></ul></div><div><ul><li><p>
Sound judgment and an appropriate sense of urgency.</p></li></ul></div><div><ul><li><p>
Ability to build trust and work effectively within an energy trading arm of the company. This is a fast-moving, high-pressure environment.</p></li></ul></div><div><ul><li><p>
Ability to think on their feet and respond quickly to shifting priorities and time-sensitive data needs.</p></li></ul></div><div><ul><li><p>
Commitment to ethical conduct, regulatory compliance, customer service, data stewardship, and business integrity.</p></li></ul></div><div><ul><li><p>
Demonstrated creativity, accountability, initiative, and attention to detail.</p></li></ul></div><div><p>
 Education</p></div><div><ul><li><p>
High school diploma or equivalent required.</p></li></ul></div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Management Information Systems, Information Technology, Business, or a related field preferred.</p></li></ul></div><div><p>
 WORK ENVIRONMENT</p></div><div><ul><li><p>
This position is based in Houston, Texas office; candidates in Houston and the surrounding area are required.</p></li></ul></div><div><ul><li><p>
This is a fully on-site role requiring in-office presence in the Houston office five days per week; it is not a remote or hybrid position.</p></li></ul></div><div><ul><li><p>
The role reports to a manager based in the Oklahoma City corporate office.</p></li></ul></div></div><div><div><ul><li><p>
Prolonged sitting, some bending and stooping</p></li></ul></div><div><ul><li><p>
Eye strain (screen use)</p></li></ul></div><div><ul><li><p>
Manual dexterity sufficient to operate a computer keyboard and calculator</p></li></ul></div><div><ul><li><p>
Occasional lifting of up to 25 pounds</p></li></ul></div><div><ul><li><p>
Requires normal range of hearing and vision</p></li></ul></div><div><ul><li><p>
Additional hours may be necessary.</p></li></ul></div><div><p>
 Note: The items identified above are representative of those commonly associated with this position but are not exhaustive. Employees may encounter additional or unforeseen responsibilities in the course of their duties.</p></div><div><p>
**This job description should not be construed to imply that these requirements are the exclusive standards of the position. All employees may be required to follow any other instructions, cross train in other positions and to perform other duties as required by workloads.**</p></div></div>
<p>Our Culture:</p><p></p><p><br>
Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.</p><p></p><p><br>
Love's is an Equal Opportunity Employer. Veterans encouraged to apply.</p></div><p></p>

Data Engineer III

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