Weidenhammer is a technology solutions provider that focuses on optimizing business outcomes through a holistic approach to technology and strategy. The company offers a range of services, including business intelligence, intelligent automation, app modernization, and cloud security. By leveraging AI and optimizing data processes, Weidenhammer helps businesses modernize their workplace, enhance user experiences, and align technology with growth strategies.
Unified Communications β’ Systems Integration β’ Network & Infrastructure Solutions β’ Business & IT Consulting β’ Application Development
March 28
Weidenhammer is a technology solutions provider that focuses on optimizing business outcomes through a holistic approach to technology and strategy. The company offers a range of services, including business intelligence, intelligent automation, app modernization, and cloud security. By leveraging AI and optimizing data processes, Weidenhammer helps businesses modernize their workplace, enhance user experiences, and align technology with growth strategies.
Unified Communications β’ Systems Integration β’ Network & Infrastructure Solutions β’ Business & IT Consulting β’ Application Development
β’ The Analytics & Data Engineer role is engaged in architecture, consulting and development of Data Engineering and Business Intelligence solutions related to client projects. β’ This role will also participate in activities that are directed at the overall growth of the Analytics and Data Estate Practice within Hammer Dev. β’ This is a client facing role requiring excellent relationship management, communication, and solution architecture / development skills. β’ Support solution decision-making as a trusted technical advisor. β’ Design, implement, and deploy data platforms in public and private cloud environments. β’ Guide clients on data strategy, governance, architecture, and quality management. β’ Conduct customer workshops, discovery sessions, and presentations. β’ Educate clients on modern technologies and their business value. β’ Define processes and tools for data acquisition, storage, transformation, and analysis. β’ Communicate solution and technology options and their business impact. β’ Develop roadmaps and implementation strategies for data initiatives. β’ Review and audit existing solutions and create architecture documentation. β’ Discuss solutions with stakeholders from C-level to engineering teams. β’ Function in various roles throughout the project lifecycle. β’ Assist in pre-sales activities and client presentations.
β’ Excellent analytical, verbal, written, and communication skills. β’ Ability to communicate professionally with senior leadership in the role of project leader. β’ Contribute to an engaging work environment. β’ Provide technical expertise in business analytics, data integration, and visualization. β’ Specialist knowledge in major relational and NoSQL-type data platforms. β’ Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence. β’ Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT. β’ Ability to identify company requirements for data insights and warehousing. β’ Comfortable working with various corporate stakeholders. β’ Expert in architecting Data Lakes and modern data concepts. β’ Experience with Row-Level Security. β’ Experience leveraging Python and GenAI for development. β’ Experience with big data technologies, Data Bricks, and Snowflake. β’ Experience with Kimball, Bottom-Up, Top-Down, Inmon, and Data Vault concepts. β’ Experience with Star & Snowflake. β’ Experience with Azure Data Factories, SSIS, Azure Synapse Analytics and Azure Stream Analytics.
Apply NowMarch 28
Work as a Data Engineer at Qohash to modernize cybersecurity practices for enterprise-sensitive information.
πΊπΈ United States β Remote
π₯ Funding within the last year
π° $17.4M Series B on 2024-04
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
March 27
Join MGID as a Big Data Engineer, building scalable data solutions for advertising.
πΊπΈ United States β Remote
π° Venture Round on 2009-11
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
March 27
ST6 Partners seeks a Data Engineer to oversee data automation and integration for enterprise data migrations.
March 26
As an Azure Data Engineer at Hitachi Solutions, deliver high quality data solutions and collaborate with our team.
Discover 100,000+ Remote Jobs!
We use powerful scraping tech to scan the internet for thousands of remote jobs daily. It operates 24/7 and costs us to operate, so we charge for access to keep the site running.
Of course! You can cancel your subscription at any time with no hidden fees or penalties. Once canceled, youβll still have access until the end of your current billing period.
Other job boards only have jobs from companies that pay to post. This means that you miss out on jobs from companies that don't want to pay. On the other hand, Remote Rocketship scrapes the internet for jobs and doesn't accept payments from companies. This means we have thousands more jobs!
New jobs are constantly being posted. We check each company website every day to ensure we have the most up-to-date job listings.
Yes! Weβre always looking to expand our listings and appreciate any suggestions from our community. Just send an email to Lior@remoterocketship.com. I read every request.
Remote Rocketship is a solo project by me, Lior Neu-ner. I built this website for my wife when she was looking for a job! She was having a hard time finding remote jobs, so I decided to build her a tool that would search the internet for her.