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Remote Work From Home Azure Data Engineer Jobs in California

Cystems Logic, Inc.

Data Lead - REMOTE

Los Angeles, CA · Remote

Data Lead Duration : Longterm Contract Location: Remote We have below longterm job opening. If you ... from Azure to AWS. Collaborate with business stakeholders, architects, and engineering teams to ...

The Jernigan Agency

WORK FROM HOME

Anaheim, CA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Fresno, CA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Sacramento, CA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Santa Ana, CA · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

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Remote Work From Home Azure Data Engineer information

What is a remote work from home Azure data engineer?

Remote Work From Home Azure Data Engineers are IT professionals who specialize in designing, developing, and managing data solutions on Microsoft Azure, while working remotely from their home or any location outside of a traditional office. Their responsibilities often include building data pipelines, ensuring data security, and optimizing data storage and retrieval using Azure services. These engineers collaborate with teams virtually, leveraging cloud-based tools to maintain and process large datasets. Working remotely, they must have strong communication skills and be self-motivated to deliver efficient cloud data solutions.

What are the key skills and qualifications needed to thrive as a remote work from home Azure data engineer?

To thrive as a Remote Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, data modeling, and experience with Azure cloud services, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills, especially for remote collaboration. These skills and qualities ensure the delivery of reliable, scalable data solutions while enabling seamless teamwork and project success in a distributed environment.

What are some common challenges faced by remote work from home Azure data engineers and how can they be addressed?

Remote Azure Data Engineers often encounter challenges such as coordinating with geographically dispersed team members, ensuring secure data access, and managing complex cloud resources without in-person support. To address these, effective communication through regular virtual meetings and clear documentation is essential. Utilizing collaboration tools like Microsoft Teams and Azure DevOps can streamline project workflows, while following best practices for cloud security and automation helps maintain data integrity and system reliability in a remote setting.

What is the difference between Remote Work From Home Azure Data Engineer vs Remote Work From Home Data Analyst?

AspectAzure Data Engineer
Required CredentialsAzure certifications, SQL, Python, data modeling
Work EnvironmentRemote, cloud-based data infrastructure
Industry UsageTech, finance, healthcare, any data-driven sector
Common Search IntentComparing cloud data roles and responsibilities

The Remote Work From Home Azure Data Engineer focuses on designing and managing cloud-based data solutions using Azure services, requiring specific cloud certifications. In contrast, a Remote Work From Home Data Analyst primarily interprets data, creates reports, and uses tools like Excel and SQL. Both roles often work remotely and are in data-centric industries, but their core skills and responsibilities differ significantly.

What are popular job titles related to Remote Work From Home Azure Data Engineer jobs in California?

For Remote Work From Home Azure Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Work From Home Azure Data Engineer jobs in California look for?

The top searched job categories for Remote Work From Home Azure Data Engineer jobs in California are:

What cities in California are hiring for Remote Work From Home Azure Data Engineer jobs?

Cities in California with the most Remote Work From Home Azure Data Engineer job openings:

Remote Work From Home Azure Data Engineer jobs near you

Data Engineer

Lorven Technologies

Los Angeles, CA • On-site, Remote

$123K - $148K/yr

Contractor

Re-posted 13 days ago

Job description

Job Title: Data Engineer
Location: California - Remote
Duration: 6+ Months Contract
Job Description:
The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.
Responsibilities:
  • Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
  • Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
  • Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
  • Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements:
  • Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
  • Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
  • Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
  • Minimum of ten (10) years of Experience in programming
  • Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
  • Strong SQL Knowledge
  • Experience in ML and ML Pipeline a plus
  • Experience in real-time integration, developing intelligent apps and data products.
  • Proficiency in Python and experience with CI/CD practices
  • Strong background in IAAS platforms and infrastructure
  • Hands-on experience with Databricks, Spark, Fabric, or similar technologies
  • Experience in Agile methodologies
  • Hands-on experience in the design and development of data pipelines and data products
  • Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
  • Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
  • Extensive experience in designing data applications in a cloud environment.
  • Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
  • Extensive experience in Data Architecture and data modeling
  • Expert in data analysis and data quality frameworks.
  • Knowledgeable with BI tools such as Power BI and Tableau.
  • May occasionally work evenings and/or weekends.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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