12 Data Engineer Jobs in Irvine, CA
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Comfort Keepers is Hiring a Remote Data Engineer
Job Summary:
Comfort Keepers is seeking a skilled and experienced Data Engineer to join our data team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and pipelines. You will work closely with cross-functional teams to ensure the availability and accessibility of high-quality data for analysis and reporting purposes. The ideal candidate is passionate about data, governance, has strong programming skills, is a creative problem solver and is proficient in building efficient and scalable data solutions.
Be part of a transformational experience as we meet the challenges of today’s business landscape and lay the foundation for future growth.
Location: Remote-U.S. or Irvine, CA
Expected Salary Range: $100k
Responsibilities:
- Build Azure data factory pipeline, Azure Data Lake, Datawarehouse, Power BI Reports and dashboards.
- Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
- Optimize and fine-tune data processes to ensure high performance and reliability.
- Implement data validation, testing, and quality assurance processes to maintain data accuracy and consistency.
- Work with large and complex datasets, both structured and unstructured, and employ appropriate data storage solutions.
- Develop and maintain documentation for data pipelines, processes, and data dictionaries.
- Monitor and troubleshoot data pipeline issues, resolving them in a timely manner to minimize downtime.
- Collaborate with data scientists, analysts, agency partners and other stakeholders to understand data requirements and ensure data integrity, accuracy, and availability.
- Additional responsibilities will be supporting applications and projects as appropriate.
Qualifications:
- Microsoft SQL Server Database 2019 and above, including Azure SQL
- Azure Data Factory, Azure Data Lake, Azure Devops , Azure Data warehouse
- Experience with Repository and version control, GitHub
- Microsoft Power BI and Power Query with DAX and M Language
- Azure Analysis service—Tabular Cube
- Amazon Athena and Redshift
- Development tools (Visual Studio)
- Designing and implementing data models, and data lake solutions
- Working with data scientists and digital teams to meet strategic data needs through project management tools like Microsoft Teams, JIRA, are desired
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
Preferred:
- C# Experience
- Python, and/or R applications and languages while managing work using software version control like GitHub and/or Dev Ops
Work Environment: Remote
An Equal Opportunity and Affirmative Action employer, Comfort Keepers considers applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status, or any legally protected status. We will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship.
Job Summary
Full Time
Skilled Nursing Services & Residential Care
$119k-144k (estimate)
10/22/2022
11/24/2023
seniorcarecollegestation.com
COLLEGE STATION, TX
25 - 50
2010
LINNANN COLLINS
$5M - $10M
Skilled Nursing Services & Residential Care
Related Companies
The job skills required for Data Engineer include SQL, Python, Big Data, Machine Learning, Azure, Futures, etc. Having related job skills and expertise will give you an advantage when applying to be a 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 Data Engineer. Select any job title you are interested in and start to search job requirements.
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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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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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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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