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    Senior Data Solutions Engineer - Salt Lake City, United States - Big-D

    Big-D
    Big-D Salt Lake City, United States

    4 weeks ago

    Big-D background
    Description

    Big-D is looking for a dynamic Senior Data Solutions Engineer. This is a great opportunity to start a career with a company that is on a mission to be the most sought-after company in the business. We seek and employee exceptional, hard-working, lifetime learners; we give them the tools to succeed when we find them. We have a culture of growth and achievement powered by innovation, supported by purpose and joy.

    Big-D Construction, a National General Contractor of award-winning projects built by exceptional people, has a Senior Data Solutions Engineer opportunity located in Salt Lake City, UT.

    Position Summary:

    A pivotal role in leveraging data-driven insights to enhance decision-making processes, optimize operations, and support innovation across various construction projects. Supervise and collaborate in designing and implementing end-to-end data solutions that address the unique challenges and requirements of the construction industry. Guide a team of experienced data professionals, ensuring effective communication, and project delivery.

    Experience:

    • Bachelor's degree in computer science, engineering, information systems, or a related field.
    • At least 6 years of experience in designing and implementing complex data solutions, in a lead role preferred.
    • Proficient in languages (e.g., Python, SQL) and data technologies (e.g., Hadoop, Spark, Kafka, TensorFlow).
    • Certified in agile or scrum methodologies.
    • Relevant certifications (e.g., Azure Data Engineer Associates, Azure Data Science Associate, Google Professional Engineer, AWS Certified Solutions Architect) are favorable.
    Critical Skills:
    • Broad knowledge and experience in data engineering, data modeling, data analysis, and AI development.
    • Strong expertise in Microsoft tools to support data initiatives.
    • Excellent interpersonal, planning, and organizational skills.
    • Strong stakeholder management.
    • Proven Leadership, team management, and development skills.
    • Customer-service and solution oriented.
    • Passionate about technology.
    • Communicate effectively with all levels of management.
    • Highest level of ethics and confidentiality.
    Essential Duties and Responsibilities:
    • Solution Design and Architecture:
      • Work closely with the data team to design and architect the end-to-end data solutions that align with business objectives and technical requirements.
      • Collaborate with stakeholders to understand business needs and translate them into technical specifications and architectural blueprints.
      • Design scalable, reliable, and high-performance data architectures, including data ingestion, storage, processing, and consumption layers.
      • Data Engineering and Infrastructure.
      • Collaborate with the data team to implement data engineering pipelines and infrastructure to support data ingestion, storage, processing, and analysis.
      • Suggest appropriate data technologies, platforms, and tools based on project requirements and industry best practices.
      • Optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness.
    • Data Modeling and Analysis:
      • Provide expertise in data modeling techniques and methodologies to ensure effective representation and organization of data assets.
      • Collaborate data team to design and implement data models for analytics, machine learning, and AI applications.
      • Perform data analysis to uncover insights, trends, and patterns that drive decision-making and business value.
    • AI Development and Integration:
      • Collaborate in the development and integration of AI and machine learning models into data solutions to enable intelligent automation and decision support.
      • Work closely with data team to build AI prototypes, build, and deploy machine learning models at scale.
      • Ensure seamless integration of AI capabilities into existing data architectures and applications.
    • Project Management and Leadership:
      • Provide technical leadership and guidance to cross-functional teams throughout the project lifecycle.
      • Define project plans, milestones, and deliverables, and manage project execution to ensure on-time and on-budget delivery.
      • Mentor and coach junior team members, fostering a culture of learning, collaboration, and innovation.
    • Quality Assurance and Governance:
      • Assist in establishing data quality standards, governance policies, and best practices to ensure the integrity, reliability, and security of data assets.
      • Conduct regular audits and assessments to monitor compliance with data governance policies and regulatory requirements.
      • As required by enterprise practices implementation of data security measures and access controls to protect sensitive information and mitigate risks.
    • Stakeholder Communication and Collaboration:
      • Communicate complex technical concepts and solutions to non-technical stakeholders in a clear and understandable manner.
      • Collaborate with business leaders, data team, and other stakeholders to align priorities and drive consensus on technical decisions.
      • Act as a trusted advisor to senior management, providing insights and recommendations on data strategy, architecture, and innovation.
    • Additional responsibilities and duties as assigned by the manager.
    Physical Requirements:

    The physical requirements described here represent those that an employee must meet to perform the essential responsibilities of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential responsibilities.
    • Regularly required to sit, talk and/or hear.
    • Regularly required to work with a computer.
    • Frequently required to use hands to manipulate, handle or feel
    • Occasionally required to reach with hands and arms, climb or balance, stand, stoop, kneel, crouch, and/or crawl.
    • Occasionally lift and/or move up to 40 pounds.
    • Specific vision abilities include close vision, the ability to adjust focus, and color vision.
    Work Environment:

    The work environment characteristics described here represent those an employee would encounter while performing this job's essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform essential responsibilities.
    • The noise level in the work environment is usually quiet to moderate.
    • Work within computer/IT rooms can be loud with controlled temperature and humidity.
    Benefits:
    • Free Medical & Dental Insurance premiums
    • HSA (Health Savings Account) with employer contribution
    • 401k with Match
    • Long-Term & Short-Term Disability
    • Life Insurance
    • Supplemental Benefits
    • PTO & Paid Holidays
    Additional Job Information

    Interested applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Big-D Construction

    Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

    The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR c)
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