| Data Engineer - Azure - Remote - US Only at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2999766&uid=88215523bb754dcd94100e2217696a7e Title : Senior Data Engineer - Azure Location : Remote- but MUST be able to work on MST Duration: 3 month CTH but open to direct placement too ( must be hire eligible- ) Interview Process: 3 step 1. First round with Brian 30-minute screening call 2. 11.5 hour technical interview with a panel o Hiring manager typically observes to ensure fairness 3. Final follow-up round before decision with Brian Interview Times: He can make time around the holidays Competition: internal team + 2 other vendors Req Qual Notes Role Overview & Team Context 11 people on the team this is a brand-new role, not a backfill. High priority to expand the Data Platform Support team. Currently have 1 engineer in this area and are looking to add a senior-level engineer. Platform & Migration Work The organization is in the middle of a cloud migration. Release 1 of the cloud migration is complete. Release 2 is planned for the current fiscal year. Migration work began in October (start of Fiscal 26). The UTI division is migrating its on-prem data warehouse to the cloud. Upcoming scope includes: o Additional data workloads moving to the cloud o Regular reporting Continued expansion of cloud-based platform services Role Focus: Data Platform Engineer This is not an ETL engineer role. Focus is on data platform engineering, not application development. Primarily non-development focused, but supports development teams. Responsibilities include: o Supporting data and AI platform services o Working with Docker and containerization o Supporting Azure-based services (SQL Server knowledge not required) o Helping enable AI applications and data warehousing No support for shrink-wrapped applications (e.g., PeopleSoft). Must have experience supporting Agile development teams. Expected to: Participate in on-call rotation Be hands-on (no ivory tower architecture mindset) AI & Tooling Exposure to: o AI Foundry o Azure AI Services Experience with Azure DevOps (ADO): o Design o Deployment o Service management Job Description Overview This Senior Cloud Data Engineer role is focused on cloud data and AI/ML platforms and services. The responsibilities include designing, migrating, developing, implementing, and operating Azure cloud-based data platforms and services solutions that align seamlessly with the companys data and AI/ML strategy and vision. Key responsibilities also involve leading data engineering projects implementation, optimizing and troubleshooting data platforms and services, and migration of existing solutions to Azure cloud. In addition, the Senior Cloud Data Engineer serves as a subject matter expert in Azure cloud data and AI/ML technologies, actively shaping our data and AI/ML platforms, services and engineering processes and plays a pivotal role ensuring the success of our data and AI/ML initiatives. Responsibilities Principal Accountabilities & Deliverables Lead data engineering and operation projects, ensuring that they are completed on time, within budget, and according to best practices. Implement, execute, and collaborate with other teams and stakeholders to understand requirements and deliver effective data platform solutions. Demonstrate expertise in cloud technologies, particularly in Azure (ADF, ADLS, Synapse, VM, SQL Server, Eventhub, OpenAI, Azure AI Foundry, etc.) Provide expertise, guidance, and mentoring to other platform engineers across teams and across projects, as needed, in order promote development of internal skills, talent and experience in new technologies. Understand business processes and consider the business impact (including production support) when designing and implementing solutions. Serve as a technical expert and critical resource, providing guidance and support across internal and external teams Act as an internal consultant, advocate, mentor and change agent for various projects and teams Provide mentorship and technical leadership to data engineering and operation teams, fostering a culture of innovation and excellence Optimize platforms and services for performance and cost-effectiveness, leveraging cloud-native services and technologies Work closely with IT Security to ensure compliance with all security policies and requirements and respond to and address security concerns Manage cloud environments in accordance with company security guidelines Work closely with operation manager and operation teams to ensure smooth operations of our products and services, meeting all SLAs, audits, compliance and security requirements. Other duties as assigned Qualifications Education / Experience: Bachelors degree in computer science, engineering, or related field (required) Minimum of 10 years' professional experience within IT that includes a minimum of five (5) years experience with SSIS, SQL servers, and Azure, specifically in data and AI technologies and services (required) Skills: Working knowledge of applicable regulatory requirements (e.g., SOX, FERPA, GLBA, PCI, etc.) as they relate to data integrity and privacy Excellent presentation, written and verbal communication skills Excellent judgment, organizational and problem-solving skills; technical, project and leadership skills. Strong self-sufficiency and initiative working on database projects Excellent at identifying and marshaling resources for action Expert knowledge of databases and AI/ML technology and concepts Strong knowledge of virtual server technology Strong knowledge of system integration designs and architecture Strong knowledge in data warehouse and data management Broad knowledge of Windows system, operating system principles, and programming best practices. Strong understanding of Software Development Life Cycle (SDLC) (especially Agile) and project planning/execution skills including estimating and scheduling. Abilities: Able and willing to: Ability to use good judgment, problem-solving and decision-making skills Ability to maintain confidentiality and manage sensitive information with discretion Ability to work in a fast-paced environment where deadlines are essential and multiple projects are worked simultaneously Ability to gain, understand and apply information and data as it relates essential functions of the position Ability to foster long-term relationships with stakeholders Work Environment: Work is performed indoors in a climate-controlled environment when on site at assigned company location. Employees must be able to safely ambulate when on company premises. This position is designated as Remote. Employees must meet minimum technical standards for eligibility and participation. No travel required -- Keywords: artificial intelligence machine learning information technology Data Engineer - Azure - Remote - US Only [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2999766&uid=88215523bb754dcd94100e2217696a7e |
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| 12:34 AM 17-Dec-25 |