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Remote Azure Data Factory Jobs in Rancho Cucamonga, CA

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Azure experience required * Strong understanding of data structure and APIs required * Experience ...

ABB

Senior Project Engineer

La Verne, CA · Remote

$98K - $128K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

All Care To You

Medical Billing Coordinator

Orange, CA · Remote

$18 - $22/hr

Our company is fully remote and offers a flexible work environment as well as schedules. ACTY ... Electronic Data Interchange (EDI) Clearinghouse (Office Ally) experience preferred. * Microsoft ...

All JobsAzure Data Factory JobsRemote Azure Data Factory JobsRemote Azure Data Factory Jobs in Rancho Cucamonga, CA

Remote Azure Data Factory information

See Rancho Cucamonga, CA salary details

$11

$59

$81

How much do remote azure data factory jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for remote azure data factory in Rancho Cucamonga, CA is $59.68, according to ZipRecruiter salary data. Most workers in this role earn between $54.04 and $67.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Azure Data Factory Engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What job categories do people searching Remote Azure Data Factory jobs in Rancho Cucamonga, CA look for? The top searched job categories for Remote Azure Data Factory jobs in Rancho Cucamonga, CA are:
What cities near Rancho Cucamonga, CA are hiring for Remote Azure Data Factory jobs? Cities near Rancho Cucamonga, CA with the most Remote Azure Data Factory job openings:
Remote Azure Data Factory jobs near you
Business Intelligence Developer (hybrid / remote / onsite)

Business Intelligence Developer (hybrid / remote / onsite)

LaBine and Associates

El Monte, CA • On-site, Remote

Full-time

Posted 14 days ago

Job description

Full-time career opportunity for Business Intelligence Developer. This employer is a large publicly traded bank headquartered in Southern California, United States. It was founded in 1973 in Los Angeles to serve the Chinese American community in Southern California.
Responsibilities:
  • Be part of a collaborative BI team, data engineers, DBA groups, and business partners to create technical requirements, database design, and BI solutions that will empower business partners to embrace data confidently and responsibly to address their complex challenges
  • Designing and Implementing tools for analyzing complex large-scale datasets used for modeling, data mining, research, and Predictive analytics.
  • Rapidly iterate, prototype, and implement visualizations that meet business visualization needs, considering composition, color, texture, and optimizing the depth and information density for the business users.
  • Power BI and SSRS administration for on-premises and Reporting Services
  • Build enterprise scalable, complex data visualizations, dashboards, KPI scorecards, KRI reports, etc. in Power BI Desktop
  • Provide user experience inputs to business teams on report/dashboard design.
  • Leverage knowledge of data modeling methodologies and other data warehousing activities to translate data into actionable analytical solutions and promote information-based decision-making recommendations.
  • Determine and implement the security model based on business requirements, confirm safeguards are followed, address any data quality issues, and data governance processes are followed for the data model.
  • Using past experiences, make recommendations on Enterprise BI standards/best practices
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation.
  • Performance tuning and query optimization
  • Provide guidance to other BI developers with oversight from the BI Managers and Leads
  • Implement statistical or other mathematical methodologies as needed for specific models or analysis
  • Keep up to date with the latest technology trends

Required Qualifications:
  • At least 7 years practical experience with business intelligence solution including building/supporting data-intensive systems, data warehouses and data marts with clear understanding of industry-standard concepts (star schema, snowflake, ER)
  • 3+ years hands-on experience in Data Visualization or advanced analytics using Power BI
  • Proficient in DAX and M queries
  • Expertise in SQL, ELT/ETL, reporting and Visual Analytics tools including SSMS, SSRS, SSIS and Power BI, with proven implementation and adoption in a large-scale enterprise environments
  • Solid T-SQL knowledge and SQL query development using MS SQL 2016 or later
  • Expertise skills in data visualization, user interface design and the software development life cycle to develop data products and expertise in demonstrating the work to business groups.
  • Proficiency in data analysis, data profiling, data mining, data extraction, and data enrichment
  • Creative problem solver who thrives when presented with a challenge
  • Excellent attention to detail
  • Comfortable in both a leadership and team-player role
  • Able to multitask, prioritize, and manage time effectively
  • Excellent communication, interpersonal and organizational skills

Desired:
  • MS in Computer Science, Information Systems, Data Science, Data Analytics or equivalent combination of skills, experience and education
  • Software language - C#, Power Shell, Python, .NET
  • Experience in Cloud Data Warehouse technologies such as AZURE Data Warehouse, Synapse Analytics, Azure Data Lake, Snowflake.
  • Experience in banking or financial services
  • General understanding and wide application of advanced principles, theories, concepts, tools, and techniques in user interface design for data science and data visualization applications.
  • Experience with DevOps, Continuous Integration, and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) is a plus
  • Understanding of Machine Learning
  • Understanding of cloud platform maintenance and experience in migrating legacy systems to new-age technologies.
  • Understanding of Adobe Analytics and Omniture, Google Analytics, and other Social/App Tracking Tools
  • Understanding of analytical methods and regression models, advanced analytics software (SAS, R, Python, and others), big data programming
  • Have solid/emerging experience with statistical modeling, analytics, database usage, and design theories
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About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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