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Executive Azure Data Factory Developer Jobs in Raleigh, NC

Data Engineer

Durham, NC ยท On-site

$110K - $132K/yr

... Data Factory for data ingestion, transformation, and orchestration. โ€ข Build Dataflow Gen2 ... Azure DevOps or GitHub Actions. โ€ข Implement robust data quality, validation, and monitoring ...

Data Engineer

Cary, NC ยท On-site

$106K - $127K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

Data Engineer

Cary, NC

$90K - $150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

Senior Data Engineer

Raleigh, NC ยท On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Fabric and related Azure services, including Data Factory pipelines, Lakehouse, Warehouse ...

Senior Data Engineer

Raleigh, NC ยท On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Fabric and related Azure services, including Data Factory pipelines, Lakehouse, Warehouse ...

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Data Engineer - Manager

Raleigh, NC ยท On-site

$99K - $232K/yr

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

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Executive Azure Data Factory Developer information

See Raleigh, NC salary details

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How much do executive azure data factory developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for executive azure data factory developer in Raleigh, NC is $56.77, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $63.80 per hour, depending on experience, location, and employer.

What is the difference between Executive Azure Data Factory Developer vs Azure Data Factory Developer?

AspectExecutive Azure Data Factory DeveloperAzure Data Factory Developer
CertificationsAzure Data Engineer, Azure Data Factory certificationsAzure Data Engineer, Azure Data Factory certifications
Work EnvironmentLeadership roles, strategic planning, cross-team collaborationTechnical implementation, data pipeline development, coding
Industry UsageUsed in organizations with senior data management needsUsed across various industries for data integration tasks

The Executive Azure Data Factory Developer typically combines technical expertise with strategic leadership, overseeing data projects and guiding teams. In contrast, the Azure Data Factory Developer focuses on building and maintaining data pipelines. Both roles require similar certifications, but their responsibilities differ in scope and seniority.

What are the most commonly searched types of Azure Data Factory Developer jobs in Raleigh, NC? The most popular types of Azure Data Factory Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Executive Azure Data Factory Developer jobs? Cities near Raleigh, NC with the most Executive Azure Data Factory Developer job openings:
Data Solutions Engineer - Databricks (Local Candidates Only - Durham, NC)

Data Solutions Engineer - Databricks (Local Candidates Only - Durham, NC)

PowerSecure

Durham, NC โ€ข On-site, Remote

$103K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Job Summary:

The Data Engineer designs, builds, and operates reliable, scalable data pipelines on PowerSecureโ€™s Azure data platform to enable trusted analytics and selfservice BI. This role partners with BI Developers, the Data Architect, and business stakeholders to ingest, model, and deliver highquality data using Azure Data Factory, Databricks (PySpark/Spark SQL), and Delta Lake (including Delta Live Tables). Responsibilities include batch/stream ingestion, data transformation (ELT), orchestration, data quality enforcement, and operational support.

Minimum Qualifications: (Education, Experience, Knowledge, and Skills):

  • 2+ years of handson data engineering (or comparable software engineering with significant
    data work)
  • 2+ years building pipelines on Azure and Databricks (or equivalent cloud + Spark)
  • Strong SQL (analytical queries, window functions), PySpark/Spark SQL, and data modeling fundamentals
  • Bachelorโ€™s degree in MIS, Computer Science, Engineering, or equivalent experience
  • Proficiency with SQL and Python (PySpark), including performance tuning on large datasets
  • Experience with Azure Databricks, Delta Lake, Delta Live Tables (DLT), Azure Data Factory (or Fabric Data Pipelines), ADLS Gen2, and Azure DevOps/Git for CI/CD
  • Working knowledge of Unity Catalog and/or Microsoft Purview for governance, lineage, and security
  • Familiarity with data ingestion patterns (files, APIs, JDBC), schema evolution, CDC, and deletion detection patterns
  • Understanding of dimensional modeling to produce analyticsready datasets for Power BI
  • Exposure to orchestration/monitoring, cost optimization, alerting, and runbookdriven operations
  • Data pipeline design (batch & streaming), DLT expectations for data quality, and robust error handling
  • Source control, branching strategies, and CI/CD for data assets (notebooks, jobs, workflows)
  • Practical understanding of privacy, security, and RBAC in cloud data platforms
  • Excellent communication, documentation, and crossfunctional collaboration skills
  • Analytical mindset; bias toward automation and measurable reliability
  • Applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa sponsorship.

Job Duties and Responsibilities:

  • Design, implement, and support endtoend ELT pipelines (ingest โ†’ transform โ†’ publish) in Databricks/ADF
  • Implement data quality checks (DLT expectations, unit tests) with alerting and remediation runbooks
  • Build curated, analyticsready Delta tables using dimensional modeling for consumption by BI Developers
  • Implement CDC and deletionflag patterns; manage schema drift and partitioning/ZOrdering strategies
  • Operationalize jobs with monitoring, logging, alerting; participate in an oncall rotation as needed
  • Partner with the Data Architect to align designs with standards for governance, security, and cost efficiency
  • Document pipelines, data contracts, and SLAs; continuously improve performance and reliability

Working Conditions:

  • This position is remote
  • Occasional,travel may be required for training or meetings.
  • Must be able to work flexible hours to accommodate different time zones (Central/Eastern/Mountain/Pacific), if necessary.
  • Be flexible for after-hours tasks, as needed.

About Us

PowerSecure, a Southern Company subsidiary, is a leading provider of innovative energy solutions to electric utilities and their industrial, institutional, and commercial customers.

Join Our Power Team!

We invest in high-value and cost-effective benefits for our employees. Our benefits
package includes:

  • Medical, dental, vision and life insurance coverage
  • Competitive pay and a matching 401 (k) plan
  • Vacation, Company Holidays, Paid Time Off (PTO- personal and sick days)
  • Flexible spending accounts/Health savings account
  • Wellness Incentive Programs
  • Employee Referral Program
  • Tuition Reimbursement

The above statements are intended to describe the general nature and level of work being performed
by individuals assigned to this position. They are not intended to be an exhaustive list of all
responsibilities, duties, and skills required. Management reserves the right to assign or reassign
duties and responsibilities at any time, based on business needs.

PowerSecure is an equal opportunity employer where an applicant's qualifications are considered
without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic
information, sexual orientation, gender identity or expression, or any other basis prohibited by law