28 SENIOR DATA ENGINEER Jobs in Draper, UT
Joyce University is Hiring a SENIOR DATA ENGINEER Near Draper, UT
You will build and maintain batch and real-time data flows used for business intelligence, analytics, and building up to machine learning within all organizations across Joyce This also involves storing and exposing data via a Database, Data Lake, and other APIs. Joyce espouses values of Service, Learning, Integrity, Caring and Excellence and by contributing at Joyce this role can impact the quality-of-care training for individuals in nursing and occupational therapy around the country.
This position can be fully remote for the right candidate! There would be some periodic travel to Utah for on campus meetings. This position provides no visa sponsorship and candidates must be authorized to work in the United States for any employer.What’s In It For You
- A generous self-directed PTO policy
- Paid holidays
- 401k with employer match
- Medical, dental, and vision insurance
- Fully paid short term disability
- Long term disability
- Dedicated professional development
- World-class continuing education assistance
- Build out an Electronic Data Warehouse out of data in the data lake inside Snowflake.
- Combine Nexus, Canvas, and Salesforce data with traditional web visit streams to build a full lifecycle view of students including acquisition channels through graduation.
- Customize and optimize current data flows for consumption in DOMO, PowerBI or Tableau reporting.
- Use existing tools and processes to deploy to integration and production environments.
- Follow and improve the deployment processes.
- Maintain the health of the data ecosystem by configuring monitors, defining alerts on common failure points, and giving feedback on data quality to data owners and business partners.
- Review peer code and submit thorough and actionable feedback based on team standards and industry best practices.
- Triage and resolve production issues. Communicate with individual business partners on status and escalate as needed.
- Design and document data flows to optimize the pathway from source to data lake, to data warehouse to reporting platform for multiple types of data.
- Understand the data at a deep level, apply security appropriately, and escalate as needed.
- Work with business partners to write requirements for and ensure quality in deployed code
- Other duties as assigned
Enhanced Analytical ProficiencyEmploys comprehensive expertise in both qualitative and quantitative methodologies to discern, structure, interpret, and communicate vital data essential for organizational decision-makers, aiming for positive organizational outcomes. Innovates continuous protocols for data collection and monitoring, ensuring a consistent stream of actionable insights to guide decision-making.
Enhanced Communication SkillsEffectively listens, speaks, observes, and empathizes while showing appropriate assertiveness, confidence, and respect. Written communication skills include grammar, punctuation, structure, spelling, tone, proofreading, clarity and organization. Communicates concepts, ideas, needs, and feelings with appropriate tone, clarity, volume and non-verbal cues for each situation. Demonstrates understanding of differences communicating through face-to-face interactions, phone conversations, and written / digital communications. Adjusts communication styles to suit different audiences, including students, peers, managers, executives, and vendors/partners.
Customer Service MindsetShows a steadfast dedication to outstanding service by actively interacting with individuals at every stage, including prospective students, current students, faculty, staff, alumni, vendors, and all stakeholders. Maintains a positive demeanor and nurtures an inclusive atmosphere, fostering a culture of mutual support and cooperation throughout the university ecosystem.
AccountabilitySets high standards of performance for self, taking full ownership and responsibility for the timely completion of assignments or tasks. Demonstrates an unwavering commitment to excellence and precision in all work undertaken.
Teamwork and EngagementActively contributes to team goals while fostering positive workplace relationships; engages in learning and social functions, demonstrates adaptability, flexibility, and embraces change management. Contributes to a positive workplace culture.
Organizational AlignmentAdheres to the organization's mission, vision, values, core themes, and consistent leadership expectations. Demonstrates high levels of collaboration, mutual respect, emotional maturity, professionalism, and drive for results.
Managing WorkEffectively organizes and prioritizes work, problem solves, uses time and resources effectively, shares information, monitors redundancies in processes; uses appropriate methods and systems thinking to implement solutions and measure impact.
Problem SolvingDisplays a strong ability to identify and address challenges within the academic environment. Utilizes critical thinking skills, creativity, and resourcefulness to develop effective solutions. Actively collaborates with stakeholders to implement changes and improve processes, contributing to the continuous enhancement of the university's operations and academic experience.
Creating Collaborative RelationshipsWorks effectively and cooperatively with others and maintains good working relationships within and outside of own functional area; uses appropriate interpersonal styles to promote openness, establish trust, and build confidence in one's intentions.
RequirementsWHAT YOU'VE ACCOMPLISHED:
Minimum Qualifications
- 4 years of relevant experience in the data engineering role, including data warehousing and business intelligence tools, techniques, and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
- Undergraduate Degree or equivalent combination of education and experience in a related field
- Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline or equivalent experience in ETL creation and deployment.
- Experience in big data processing and using databases in a business environment with large-scale, complex datasets. (SQL, PostgreSQL, SSRS, Hadoop, Spark, etc.)
- Experience with tying Snowflake to various technologies (Azure Blob, Azure Data Factory, private cloud solutions, APIs, SFTP connections, etc.)
- Knowledge and direct experience using business intelligence reporting tools. (Domo, PowerBI, Tableau, Business Objects)
- Extensive knowledge of SQL query design and optimizing for performance and accuracy
- Prior experience in building ETL around quarter-over-quarter, or semester-over-semester analysis including year-over-year and prior semester combined analysis a plus.
- Demonstrated proficiency with Python, R, or other data-relevant scripting languages.
- Experience with Data Lake design and philosophy
- Experience in an Agile/Sprint working environment preferred.
- Proficient research skills to locate market information using numerous internal and external sources of data.
- Experience in QA policies and procedures around data quality preferred
- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
- Excellent understanding of the principles of Data Governance with familiarity with the needs specific to Higher Education.
- Strong planning and organizing skills to prioritize numerous projects and ensure data is delivered in an accurate and understandable manner to the end user.
Job Summary
Full Time
$89k-117k (estimate)
06/21/2024
07/14/2024
The job skills required for SENIOR DATA ENGINEER include Analysis, Communication Skills, Written Communication, Customer Service, Problem Solving, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a SENIOR DATA ENGINEER. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by SENIOR DATA ENGINEER. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for SENIOR DATA ENGINEER positions, which can be used as a reference in future career path planning. As a SENIOR DATA ENGINEER, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary SENIOR DATA ENGINEER. You can explore the career advancement for a SENIOR DATA ENGINEER below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Step 3: View the best colleges and universities for Senior Data Engineer.
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