5 Jobs in Salt Lake, UT
Ricefw Technologies is Hiring a Data Engineer (W2 ONLY) Near Salt Lake, UT
The Ideal CandidateThe ideal candidate for this position has experience in Azure, data pipelines, data architecture and warehousing, and has dabbled in machine learning. They are a Data Engineer with a passion for data, and for making peoples' lives easier. They enjoy both philosophical discussions and physical deployments and are comfortable working with multiple teams. Principal DutiesAs a Data Engineer, your responsibilities will include:
- Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
- Designs efficient data structures and database schemas, as well as working with distributed system architecture and non-relational databases.
- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Works closely with a team of engineers, product managers, and analysts.
- Defines company data assets (data models), jobs to populate data models.
- Designs data integrations and data quality framework.
- Designs and evaluates open source and vendor tools for data lineage.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
- Other duties as assigned.
- Degree Candidate must possess a bachelor's degree from an accredited college in Computer Science, Information Technology, Business, or equivalent experience.
- Functional Experience Candidates must have 5 years of experience with BI reporting tools like Power BI or Tableau.
- Functional Experience Candidates must have 3 years of experience with large sets of regulated data, designing efficient data structures, and database schemas, as well as working with distributed systems architecture and CosmosDB.
- Functional Experience Candidates must have 3 years of experience with SQL and Python, with a focus on building reusable frameworks.
- Functional Experience Candidates must have 3 years' experience with integration technologies and protocols such as SOAP, REST, JSON and APIs, with experience in handling streaming data.
- Functional Experience - Data Lake and/or Date Warehousing Experience with planning and implementing a data warehouse, data lake, or other data repositories is required.
- Functional Experience - Hands-on experience in Azure Data Factory, DataBricks, Azure Storage, SQL Pools, CI/CD Pipeline Design along with other Azure services like functions and Logic apps.
- Interpersonal Relationships Candidates must demonstrate the ability to work well with others of all personality types while demonstrating problem-solving and the ability to prioritize tasks.
- Communication Candidates must demonstrate the ability to communicate in verbal and written form with both technical and non-technical personnel.
- Initiative Candidates must demonstrate success as a self-starting, hardworking and inquisitive worker.
- Teamwork Candidates must demonstrate the ability to work with cross-functional teams to deliver on a common goal.
- Agile/Scrum - Candidates must demonstrate experience in an agile product environment to include deep understanding and experience with agile methodologies.
- Certifications: Azure Data Engineering, Azure DBA, Azure Developer or others related to the position
- Domain Driven Design Understanding and experience with Domain Driven Design
- Financial or Education Domains and their data standards Ed-Fi, CEDS, SIF, GAAP, etc.
- Knowledge and Experience with Data Privacy, Data Governance, and Data Cataloguing principles.
- Machine Learning Knowledge of best practices and experience with an LLM.
Job Summary
Full Time
$111k-136k (estimate)
05/31/2024
06/21/2024
ricefwtech.com
Okemos, MI
25 - 50
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The job skills required for Data Engineer (W2 ONLY) include SQL, Python, Data Engineering, Data Warehouse, Computer Science, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer (W2 ONLY). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer (W2 ONLY). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer (W2 ONLY) positions, which can be used as a reference in future career path planning. As a Data Engineer (W2 ONLY), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer (W2 ONLY). You can explore the career advancement for a Data Engineer (W2 ONLY) below and select your interested title to get hiring information.
If you are interested in becoming a 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 Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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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 Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.
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