Pierce Technology Corp

Pierce Technology Corp is a tech-focused company engaged in providing innovative solutions and staffing services, with job openings for a Senior Data Engineer, Sales Executive in IT Staffing and Solutions, and a Data & Analytics Analyst.

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👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware
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Jobs at this company:

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📍 United States

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience in network documentation or a similar role.
  • Strong knowledge of networking concepts and technologies.
  • Proficiency in documentation tools (e.g., Microsoft Visio, Confluence, or similar).
  • Excellent written and verbal communication skills.
  • Attention to detail and the ability to organize complex information.
  • Ability to work collaboratively and independently within a team environment.
  • Develop and maintain comprehensive documentation for network architecture, designs, and configurations.
  • Collaborate with network engineers to gather information for new projects and updates.
  • Ensure documentation is user-friendly and structured for easy retrieval and understanding.
  • Conduct regular reviews of existing documentation to ensure accuracy and relevance.
  • Create diagrams and visuals to enhance understanding of complex network relationships and setups.
  • Provide training sessions to team members on how to utilize documentation effectively.

CiscoNetworkingConfluence

Posted 6 months ago
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📍 United States

🧭 Full-Time

🔍 IT Staffing and Solutions

  • Experience selling IT Staff Augmentation, managed services, or IT hardware/software.
  • Experience building relationships with key decision makers.
  • Familiarity with the technology job market.
  • Ability to keep up with new trends in technology.
  • Excellent interpersonal and communication skills.
  • Be a driven team player while focusing on personal sales goals.
  • Research, market, and sell IT staffing services to clients.
  • Conduct in-person and video meetings and presentations with prospective clients.
  • Act as a point of contact and continuously develop client relationships and accounts.
  • Deliver excellence while staying cool under pressure.
  • Balance small details with the big picture.
  • Exhibit enthusiasm for continuous learning in the IT industry.
  • Analyze sales reports.
  • Manage a busy calendar running meetings, conference calls, interviews, and meet-ups.

Business DevelopmentGoCommunication SkillsCollaborationNegotiationAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationMultitaskingRelationship building

Posted 8 months ago
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📍 United States

  • 3+ years of data & analytics experience.
  • Excellent analytical skills with the ability to translate business questions into technical solutions and broaden business question-asking based on technical knowledgeability.
  • Experience developing data management and analytics scripts in Python and SQL.
  • Ability to develop production-ready analytical tools in Power BI.
  • Aptitude for learning cutting-edge analytical and technologies right fit for evolving business applications.
  • Highly organized, accurate, detail-oriented, and takes pride in the quality of their work.
  • Ability to manage workstreams with cross-functional stakeholders.
  • Acumen and intellectual curiosity to learn the business and understand growth drivers.
  • High energy, humble team player with 'get it done' attitude, and exceptional communication skills.
  • Preferred Qualifications include familiarity with Databricks or similar Apache Spark-based tools, comfort using git and workflow management tools, background in statistical modeling or machine learning, working knowledge of Microsoft Excel and Office 365.
  • Partner with functional leaders to set analytical agendas that underpin discussions of strategic initiatives, owning related analytics development supporting the cross-functional workstreams.
  • Apply innovative analytics methodologies to accelerate performance of every function of the business, including customer & marketing, organic revenue growth, operational cost optimization, and inorganic value creation.
  • Define KPIs, measure their performance, and design the data models that support reporting them; partner with the data engineering team to scope data pipelines and define data governance processes.
  • Design, build, and iteratively enhance scalable and action-oriented analytical, operational, and executive dashboards.
  • Proactively recommend business opportunities and inform decisions in the process of uncovering and communicating insights on performance trends, with a deep focus on identifying root causes.
  • Deliver analytics training and adoption programs; use stakeholder feedback to refine tools and processes.
  • Expand best practices for designing and implementing analytics products and teach the broader analytics team how to leverage new analytical frameworks.
  • Support performance reviews among functional stakeholders, reviewing hospital dashboards with new KPIs.

PythonSQLCommunication SkillsAnalytical SkillsMicrosoft Excel

Posted 8 months ago
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🔥 Senior Data Engineer
Posted 8 months ago

📍 United States

  • 3+ years in data engineering roles in a production environment.
  • Advanced proficiency in Python and SQL for data engineering.
  • Up-to-date knowledge of and 1+ years of experience using Databricks for Lakehouse management.
  • Deep understanding of data modeling, data architecture, and data integration best practices.
  • Strong hands-on experience with Apache Spark.
  • Familiarity with data governance, security, and privacy principles.
  • Comfort using git or equivalent to manage the software development life cycle.
  • Exceptional ability to learn and use new software development techniques and tools.
  • Ability to manage multiple projects simultaneously.
  • High energy, humble team player with 'get it done' attitude, seeking collaboration with colleagues.
  • Collaborate with cross-functional teams to define the data engineering strategy aligned to business objectives, including data modeling that unifies data assets across a range of source systems used to manage the operations of our partnering hospitals.
  • Define and execute processes needed to develop, test, deploy, and maintain high quality data pipelines. Oversee the end-to-end development of data pipelines from source data extraction through to production-grade analytical dataset delivery, ensuring data quality and security throughout the pipeline.
  • Continuously monitor and optimize data processing performance and efficiency. Identify and address bottlenecks, optimize query performance, and improve overall system stability.
  • Establish and enforce data quality management policies, data access controls, and data privacy standards.
  • Stay abreast of the latest developments in engineering tools and best practices. Provide guidance to the team about technical challenges.
  • Maintain clear and comprehensive documentation of data pipelines, architecture, and processes to ensure knowledge sharing and team continuity.
  • Evaluate and manage relationships with third-party vendors and tools, making informed decisions about when to leverage external solutions.

LeadershipPythonSoftware DevelopmentSQLGitMachine LearningMLFlowStrategyAzureData engineeringSparkCollaborationCI/CD

Posted 8 months ago
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