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cloud data engineer

smartbridge, LLC

<div><div>Senior Data Engineer &mdash; Azure &amp; Synapse 
Hybrid | Houston, Texas 
Salary: $120,000 &ndash; $150,000 Annually 
 
ABOUT SMARTBRIDGE 
We simplify business transformation, applying thought leadership and innovation to create digitally connected enterprises. From Strategy to Implementation, we bring our clients' digital agenda to life. One of the keys to our success is finding and hiring exemplary people. We believe every team member contributes directly to Smartbridge's growth, and we celebrate our employees as they grow and succeed in their careers. 
 
ABOUT THE ROLE 
We are looking for a Senior Data Engineer with deep expertise in Microsoft Azure and Synapse Analytics to join our consulting team. In this role, you will lead the architecture, design, and development of highly scalable data integration and data engineering solutions for our clients. You will serve as a technical lead, guiding both the client and internal team members through complex data challenges while delivering high-quality, on-time results. 
 
This is a hands-on leadership role &mdash; you will be expected to design and build alongside your team, not just direct from the sidelines. 
 
RESPONSIBILITIES 
<ul><li>Lead the design, development, and implementation of enterprise-scale data pipelines and warehousing solutions on Microsoft Azure</li><li>Architect end-to-end data solutions using Azure Synapse Analytics, Azure Data Factory, and related cloud technologies</li><li>Drive data engineering best practices across ingestion, transformation, data quality, and pipeline orchestration</li><li>Lead and mentor a team of data engineers, providing technical guidance and code reviews</li><li>Collaborate directly with clients to understand business requirements, assess current data environments, and propose scalable solutions</li><li>Design and develop ETL/ELT processes, star schemas, data marts, and source-to-target mappings</li><li>Manage migration of on-premises data warehouse solutions to Azure cloud environments</li><li>Identify and resolve data quality issues, transformation logic gaps, and pipeline bottlenecks</li><li>Produce and maintain technical documentation for all data solutions and pipelines</li><li>Deliver projects on time, on budget, and in alignment with client goals</li></ul> 
REQUIREMENTS 
<ul><li>7+ years of hands-on data engineering experience</li><li>2+ years in a technical lead or team leadership role, including mentoring engineers and owning project delivery</li><li>Expert-level experience with Microsoft Azure, including:</li><li>Azure Synapse Analytics</li><li>Azure Data Factory</li><li>Azure SQL Database</li><li>Databricks / Apache Spark</li><li>Strong experience designing and building enterprise data warehouses (on-prem and cloud)</li><li>Advanced SQL skills including complex query writing, stored procedures, and performance tuning</li><li>Experience migrating on-premises data solutions to Azure cloud environments</li><li>Proficiency in Python and/or Scala for data pipeline development</li><li>Experience with star schema design, data marts, and ETL/ELT best practices</li><li>Strong communication skills &mdash; ability to lead client meetings and translate business needs into technical solutions</li><li>Ability to travel to client locations based on project needs</li></ul> 
NICE TO HAVE 
<ul><li>Microsoft Azure certifications (e.g. Azure Data Engineer Associate DP-203)</li><li>Consulting background</li></ul> 
BENEFITS 
<ul><li>100% Paid Healthcare Insurance</li><li>Paid Days Off accruing from Day One</li><li>Matching 401K Retirement Plan</li><li>Career Development</li><li>Fitness Reimbursement</li><li>Team Events and more</li></ul></div>
CNaHUYGFR0</div>

Senior Data Engineer / Consultant

Sagis, PLLC

Sagis Diagnostics is a growing pathology and laboratory diagnostics organization committed to delivering accurate, timely, and patient-centered diagnostic services. Our data team is at the heart of our operational intelligence, building the pipelines, platforms, and reporting infrastructure that enable clinical and business decisions at scale. Data Engineer Level II We are seeking a seasoned Data Engineer with deep hands-on experience designing, building, and maintaining complex ETL pipelines and data workflows. This role sits within our Data Architecture team and is central to evolving our data platform across cloud, on-premise, and hybrid environments. The ideal candidate is a battle-tested practitioner, someone whose expertise was earned in production, not just in coursework. Design, build, and maintain scalable ETL/ELT pipelines that move data across disparate source systems including LIS (Laboratory Information Systems), billing platforms, and cloud data stores. Develop and optimize data workflows in Databricks using PySpark, Delta Lake, and Unity Catalog, following medallion architecture (Bronze Silver Gold) patterns. Architect and manage data integrations with Azure Data Factory, Azure SQL Managed Instance, and Azure Blob/ADLS Gen2 storage. Collaborate closely with the Director of Data Architecture to plan, execute, and document major pipeline and schema changes. Build and maintain robust Python-based automation scripts, data quality checks, and monitoring routines. Support reporting and analytics platforms including Power BI and Zoho Analytics, ensuring clean, performant data models and dataset refresh pipelines. Participate in schema design and maintenance for SQL Server environments including stored procedures, views, and schema-level organization. Contribute to data governance practices: access controls, Unity Catalog permissions, lineage documentation, and change management. Engage with internal stakeholders (clinical, billing, operations) to translate business requirements into data engineering solutions. Identify and resolve data quality, latency, and pipeline reliability issues proactively. Required Skills and Experience Technical Skills ETL &amp; Data Pipelines 5+ years of hands-on experience building production-grade ETL/ELT pipelines. Proficiency with pipeline orchestration and scheduling (Azure Data Factory, Apache Airflow, or similar). Strong understanding of data modeling &mdash; relational, dimensional, and lakehouse patterns. Databricks Significant, production-level Databricks experience &mdash; Unity Catalog, Delta Lake, PySpark, and cluster/job management. Familiarity with medallion architecture and incremental/merge data loading strategies. Azure Ecosystem Demonstrated experience with Azure Data Factory for pipeline orchestration and data movement. Proficiency with Azure SQL Managed Instance and Azure Blob / ADLS Gen2. Familiarity with Azure networking, managed identities, and role-based access controls. SQL &amp; Database Engineering Expert-level SQL skills including complex joins, window functions, CTEs, stored procedures, and performance tuning. Experience working within structured schema environments (SQL Server / Azure SQL MI). Python Strong Python skills for data pipeline development, automation, and API integrations. Experience with libraries such as pandas, pyodbc, requests, and Azure SDKs. Preferred Qualifications: Experience with Power BI including dataset modeling, dataflows, and gateway configuration. Experience with Zoho Analytics including workspace management, custom queries, and report/dashboard development. Healthcare industry experience, particularly in laboratory diagnostics, pathology, or revenue cycle management. Exposure to medical coding systems including CPT (Current Procedural Terminology) and ICD-10 code structures and their use in clinical billing workflows. Familiarity with Laboratory Information Systems (LIS) or billing platforms such as VitalAxis or HealthPac. Experience with Microsoft Graph API or SharePoint integration for collaborative data workflows. Snowflake experience for hybrid or partner data ingestion scenarios. Exposure to Databricks Partner Connect, external table sharing, or cross-cloud data patterns. Education: A bachelor's degree in Computer Science, Information Systems, or a related technical field is preferred but we place demonstrated industry experience above academic credentials. Candidates with a strong portfolio of delivered data engineering work and a track record of solving hard problems in production environments are strongly encouraged to apply regardless of formal degree. Why Join Sagis? At Sagis, we are committed to creating an environment where our employees can thrive and grow. We offer: Comprehensive Benefits: Medical, Dental, and Vision with Blue Cross/Blue Shield. Company-paid Short-Term and Long-Term Disability, Basic Life, and EAP. Voluntary Accident, Critical Illness, and Life Insurance options. Work-Life Balance: Flexible Scheduling and Fair Wages. Paid Time Off, Floating Holidays, and Scheduled Holidays. Paid Parental Leave. Additional Perks: 401(k) Contribution. Free Parking. Wellness Initiatives and a collaborative team culture. Work Location: In person

Data Engineer II- Onsite (77092)

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)

JPMorganChase

<div>JOB DESCRIPTION 
Be an integral part of an Agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase, within the Commercial &amp; Investment Bank - Digital Client Relationship team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way. You drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple data pipelines, data architectures and other data consumers
Job Responsibilities<ul><li>
Designs and builds hybrid on-prem and public cloud data platform solutions</li><li>
Designs and builds end-to-end data pipelines for ingestion, transformation, and distribution, supporting both batch and streaming workloads</li><li>
Develops and owns data products that are reusable, well-documented, and optimized for analytics, BI, and AI/ML consumers</li><li>
Implements and manages modern data lake and Lakehouse architectures, including Apache Iceberg table formats</li><li>
Implements interoperability across data platforms and tools, including Databricks, Snowflake, Amazon Redshift, AWS Glue, and Lake Formation</li><li>
Establishes and maintains end-to-end data lineage to support observability, impact analysis, and regulatory requirements</li><li>
Implements data quality validation and monitoring using frameworks such as Great Expectations</li><li>
Provides recommendations and insight on data management and governance procedures and intricacies applicable to the acquisition, maintenance, validation, and utilization of data</li><li>
Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way</li><li>
Defines database back-up, recovery, and archiving strategy</li>
Creates functional and technical documentation supporting best practices. Advises junior engineers and technologists 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on computer science concepts or equivalent and 5+ years applied experience</li><li>
Hands-on experience building and operating batch and streaming data pipelines at scale</li><li>
Experience with Apache Iceberg and modern table formats in Lakehouse environment</li><li>
Strong proficiency with Databricks, Snowflake, Amazon Redshift, and AWS data services such as Glue and Lake Formation</li><li>
Experience implementing data lineage, data quality, and data observability frameworks</li><li>
Working experience with both relational and NoSQL databases</li><li>
Advanced understanding of database back-up, recovery, and archiving strategy</li><li>
Experience presenting and delivering visual data
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Sr Lead Software Engineer (Data Platform)

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

Addison Group

<div>
 
 We&rsquo;re seeking an experienced IT Infrastructure &amp; Security Specialist to support and secure our on‑premises and cloud environments. This role is responsible for network security, Azure cloud governance, Windows Server administration, and the physical infrastructure layer. The ideal candidate brings deep hands‑on experience, strong troubleshooting skills, and the ability to collaborate across cybersecurity, infrastructure, and facilities teams.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Network &amp; Security
 
 
 <ul>
 <li>
 Design, implement, and monitor secure network architectures.
 </li>
 <li>
 Configure and manage enterprise firewalls (Palo Alto, Fortinet, Cisco ASA).
 </li>
 <li>
 Enforce Zero Trust security principles.
 </li>
 <li>
 Conduct vulnerability assessments and lead remediation efforts.
 </li>
 <li>
 Operate and optimize SIEM and endpoint security platforms (QRadar, SentinelOne).
 </li>
 <li>
 Perform incident detection, analysis, and response; maintain security operations procedures.
 </li>
 </ul>
 
 
 Azure Cloud Security
 
 
 (Top Priority)
 
 
 <ul>
 <li>
 Manage Azure security controls, policies, and compliance.
 </li>
 <li>
 Monitor and secure cloud workloads and resources.
 </li>
 <li>
 Administer Azure AD and Azure Security Center.
 </li>
 <li>
 Azure experience is required; AWS alone is not sufficient.
 </li>
 </ul>
 
 
 Windows Server &amp; Infrastructure
 
 
 <ul>
 <li>
 Administer Windows Server 2016/2019/2022 environments.
 </li>
 <li>
 Support DFS, printer management, patching, updates, and troubleshooting.
 </li>
 <li>
 Ensure high availability, reliability, and data integrity.
 </li>
 </ul>
 
 
 Physical Infrastructure
 
 
 <ul>
 <li>
 Support hyperconverged systems (Nutanix, VMware vSAN).
 </li>
 <li>
 Maintain cabling, racks, hardware installation, and physical connectivity.
 </li>
 <li>
 Ensure stable performance across all infrastructure layers.
 </li>
 </ul>
 
 
 Audio/Visual Support
 
 
 (Nice to Have)
 
 
 <ul>
 <li>
 Deploy and support AV systems (Crestron, Extron, Zoom Rooms, Teams Rooms).
 </li>
 <li>
 Provide troubleshooting and user support as needed.
 </li>
 <li>
 Note: Primary AV responsibilities are handled by another team.
 </li>
 </ul>
 
 
 Documentation &amp; Collaboration
 
 
 <ul>
 <li>
 Maintain detailed documentation of configurations, incidents, and remediation activities.
 </li>
 <li>
 Produce reports for compliance and leadership review.
 </li>
 <li>
 Partner closely with IT application support, cybersecurity, and facilities teams to ensure cohesive operations and rapid issue resolution.
 </li>
 </ul>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Firewall platforms: Palo Alto, Fortinet, Cisco ASA
 </li>
 <li>
 Zero Trust frameworks
 </li>
 <li>
 SIEM: QRadar, SentinelOne
 </li>
 <li>
 Azure AD, Azure Security Center
 </li>
 <li>
 Windows Server (2016&ndash;2022), DFS, printer management
 </li>
 <li>
 Hyperconverged infrastructure: Nutanix, VMware vSAN
 </li>
 <li>
 AV technologies: Crestron, Extron, Zoom Rooms, Teams Rooms
 </li>
 <li>
 Network cabling and physical infrastructure best practices
 </li>
 </ul>
 
 
 
 
 
 Required Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, IT, or related field (or equivalent experience).
 </li>
 <li>
 Certifications such as CISSP, CISM, Azure Security Engineer Associate, MCSE, or similar.
 </li>
 <li>
 5+ years in network security with hands‑on firewall experience.
 </li>
 <li>
 3+ years in Azure cloud security administration.
 </li>
 <li>
 5+ years of Windows Server maintenance, including DFS and printer management.
 </li>
 <li>
 Experience supporting hyperconverged systems, cabling, and hardware installation.
 </li>
 </ul>
 
 
</div>

Information Technology Infrastructure Specialist

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