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As an IT leader, you’ve likely experienced staff turnover, especially in tumultuous economic times. If your Data Engineer left today, you wouldn’t be alone. Nearly ¾ of Data Engineers leave their companies before their 5th anniversary, which is the result of burnout and mundane workloads 🏋️♀️. If you’re experiencing this, DataStrike has your back. We offer a reliable data infrastructure model built to sustain economic and workplace volatility. We offer fractional support to become an extension of your team, meaning we handle the workloads of your former Data Engineer. Their departure can leave a gap in your workforce, making it hard to staff shifts and increasing the odds of bottlenecks, data latency, and system downtime 📉. Exposure of your systems can hurt your reputation and you’re stuck with having to hire new staff with less knowledge than their predecessors. With our fractional model, we will cover your system with 24x7x365 monitoring 🔎 and maintenance while you onboard your newest Data Engineer. Check out our blog on how to deal with your Data Engineers exit, and how DataStrike fills in the gap! https://lnkd.in/e9hmCv4k

#hiring Principal Data Engineer, San Jose, United States, fulltime #jobs #jobseekers #careers #SanJosejobs #Californiajobs #MiningOilGas Apply: https://lnkd.in/gFqWhyZa What You'll Do As a Principal Data Engineer in our Data Architecture team, you will play a pivotal role in shaping the data landscape for Archer's product and enterprise initiatives. You will collaborate closely with cross-functional teams to ensure data is accessible, secure, and optimized for advanced analytics. Your responsibilities will include: Contribute to the design and implementation of a data architecture strategy that outlines principles, standards, and guidelines for data management. Establish data governance practices, including data stewardship, data quality management, and compliance measures. Develop data integration frameworks and pipelines to support seamless data movement across the organization. Design, create, and maintain data lakes and data warehouses to store and manage structured and unstructured data. Drive company-wide standardization for data cataloging and metadata management to enable data discovery and understanding. Orchestrate the creation, maintenance, and optimization of data pipelines, ensuring alignment with business systems and security protocols. Collaborate with internal teams and external partners to ensure data pipelines are robust, scalable, and efficient. Collaborate with cross-functional teams to identify key data sources, data needs, and priorities for analytics, including technology selection. Implement data governance policies and security measures to protect sensitive information and ensure data quality. Champion a data-driven culture across the organization, fostering data literacy and analytical capabilities. Identify opportunities to leverage artificial intelligence and machine learning in data analytics and reporting. Develop protocols for managing company intellectual property

Data Engineers of all levels seeking fully remote work, LET'S GO! _______________________________________________________ Junior/ Mid levels - roles are permanent 🚀 Senior - roles are contract 👩🚀 *Link to full JDs and application pages in the 1st comment But first a poem for all of you: In realms where data reigns supreme, Engineers craft a master's dream. With Python's grace and might, They weave the strands of code to light. In SQL's domain, they query deep, Unveiling insights from data's keep. AWS, their canvas, vast and grand, Where cloud-born wonders take their stand. ETL, the alchemy they employ, Transforming raw to refined with joy. From bytes to wisdom, they refine, Crafting knowledge, the ultimate shrine. In the symphony of bytes and bits, They orchestrate with masterful wits. Their code, a dance of logic's art, Bringing order to chaos, heart to heart. Through valleys of servers, they traverse, Harnessing power, breaking diverse. For in their hands, technology's key, Unlocking doors to possibility. So raise a toast to those who delve, Into the depths where data swells. For they are the architects, the virtuosos, Guiding us through the digital cosmos. 💫

#hiring Senior Software Engineer - Data Platform - Bloomberg Second Measure, New York City, United States, $240K, fulltime #jobs #jobseekers #careers $240K #NewYorkCityjobs #NewYorkjobs #ITCommunications Apply: https://lnkd.in/g95PAVXW Bloomberg is a data company that is redefining how people use alternative data. This transformation started with Bloomberg Second Measure

Unlock the secrets to hiring and retaining top-tier Data Warehouse Developers! With a staggering 21% job growth rate projected by 2028, the demand for these tech wizards is soaring. Dive into our blog to discover how to navigate this talent surge and keep your data game strong! https://buff.ly/3TRoxbA

Ever wondered what it's like to be a Remote Data Engineer?🤔Well let’s see what i do whole day🤞💯 In my new vlog, I'm taking you on a journey through my daily routine, from morning to night.👇🏻 👨💻From analyzing data to writing code, every day brings new challenges and excitement. But through it all, there's always room for creativity and problem-solving💡 Come along with me as I show you what a typical day looks like for a remote data engineer. From sipping morning coffee to late-night coding sessions, you'll see it all! 🔗 Want to see the whole routine, link of full vlog is in the description😄 #RemoteWork #DataEngineering #DayInTheLife

Busting Data Misconceptions: Post #1 Data Engineer ≠ Database Admin Do you ask a computer engineer to fix broken computers? Then this post is for you 🚀 As a Data Engineer, you’re the architect of the data infrastructure, not just the guardian of databases. 💡 Let’s clarify: Data Engineers build and optimize pipelines, create frameworks for data processing, and ensure scalability and reliability. 🌐 Data Engineers design the highways, not just manage the parking lots. 🔧 #DataEngineering #Tech #DataOps #BigData #DataInfrastructure #letstalkdata #datamisconceptions

#hiring Senior Software Engineer - Data Platform - Bloomberg Second Measure, New York City, United States, $240K, fulltime #jobs #jobseekers #careers $240K #NewYorkCityjobs #NewYorkjobs #ITCommunications Apply: https://lnkd.in/g7daTgf8 Bloomberg is a data company that is redefining how people use alternative data. This transformation started with Bloomberg Second Measure

#hiring Cloud Data Engineer III, Pittsburgh, United States, fulltime #jobs #jobseekers #careers #Pittsburghjobs #Pennsylvaniajobs #ITCommunications Apply: https://lnkd.in/gEstrpYY Job Responsibilities: Strategy & PlanningExecute on long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders.Develop short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.Collaborate with third-parties, product/platform teams and business subject matter experts to enable company strategic imperatives that require secure and accessible data cloud capabilities or assist in accessing data required to enrich models.Collaborate with IT Enterprise Architecture, Business Intelligence, Data Engineering, Data Quality and Data Governance stakeholders to:Adhere to and advocate for processes for governing the identification, collection, and use of corporate metadata.Take steps to assure metadata accuracy and validity.Tracking data quality, completeness, redundancy, and improvement.Contribute to cloud consumption cost forecasting, usage requirements, proof of concepts, proof of business value, feasibility studies, and other tasks.Contribute to strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.Comply with data strategies, architecture best practice to ensure regulatory compliance. Acquisition & DeploymentParticipate in technical proposals with vendors, cloud providers, and service providers to select the solutions or services that best meet company goals as required. Operational ManagementContribute to and promote data management methodologies and standards.Implement the appropriate tools, software, applications, and systems to support data technology goals.Ensure the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.Work with project managers and business unit leaders on project assignments involving enterprise data.Assist with data-related problems in regard to systems integration, compatibility, and multiple-platform integration.Develop key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.Update the data architecture and environment in order to maintain a current and accurate view of the implemented structure.Identify and develop opportunities for data reuse, migration, or retirement. Education/Experience Requirements: Formal Education & CertificationBachelor's degree in computer science, information systems, or computer engineering.In lieu of a bachelor's degree, an equivalent combination of education and experience may be considered.Three