data scientist wireline

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

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor &ndash; Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling.</p><p></p><p><br>
Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Oversee and coordinate logistics and execution of various research projects.</li><li>
Manage project progress and execution of project goals and milestones.</li><li>
Plan and direct research experiments.</li><li>
Organize, evaluate, and analyze data with other researchers.</li><li>
Develop research techniques and perform applications required for specific research projects.</li><li>
Conduct literature searches and summarize information in an appropriate format for a particular study.</li><li>
Document results of experiments and reports to principal investigators.</li><li>
Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.</li><li>
Write progress reports, manuscripts and grant proposals.</li><li>
Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.</li><li>
Supervise research staff including graduate and undergraduate students.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
Ph.D. in computer science, data science, medical informatics, or related field.</li><li>
Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.</li></ul></div></div></div><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div><p></p>

Assistant Professor - Artificial Intelligence and Data Scientist

US Department of Veterans Affairs

Clinical Laboratory Scientist - Microbiology

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

<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

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