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Trainee Azure Data Factory Developer Jobs in Pompano Beach, FL

GEI Consultants

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/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 ...

Vets Hired

BI Developer

Fort Lauderdale, FL · On-site

Job Summary The BI Developer is responsible for designing, developing, and maintaining business ... Minimum of 3 years of experience with Azure Data Warehouse, Azure Data Factory, Databricks, and ...

Vets Hired

BI Developer

Fort Lauderdale, FL · On-site

$95 - $125/hr

Job Summary The BI Developer is responsible for designing, developing, and maintaining business ... Minimum of 3 years of experience with Azure Data Warehouse, Azure Data Factory, Databricks, and ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

EXPERIENCE: • 10+ years of experience in data engineering or a related field required. • Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory ...

DHL eCommerce

Manager Commercial Analytics

Weston, FL · On-site

Microsoft Azure certifications (e.g., Azure Data Engineer or Azure Data Scientist) * Databricks ... Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and ...

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

As of Sep 4, 2026, the average hourly pay for trainee azure data factory developer in Pompano Beach, FL is $54.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $61.73 per hour, depending on experience, location, and employer.

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Trainee Azure Data Factory Developer jobs near you
Infographic showing various Trainee Azure Data Factory Developer job openings in Pompano Beach, FL as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,303 per year, or $55 per hour.

Sr. Data Engineer (ONSITE)

TRAC Recruiting

Pembroke Pines, FL • On-site

$125K - $140K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Design, develop, and maintain complex T-SQL queries, stored procedures, views, and functions using SQL Server.

  • Build, optimize, and troubleshoot data pipelines and ETL processes using tools like SSIS and Azure Data Factory.

  • Monitor and improve SQL Server performance, optimize ETL jobs, and ensure data quality and integrity across systems.

Job description

We are seeking a Sr. Data Engineer (100% ONSITE). This is a full time and direct hire role for one of our amazing partners west of Fort Lauderdale, Florida. This role does NOT offer sponsorship, it's NOT a consulting role, it's NOT remote, and we do NOT work with 3rd parties. 


Overview:

This Senior Data Engineer will play a key role in designing, building, and optimizing scalable data pipelines and data warehouse solutions. You should have deep expertise in Microsoft SQL Server, ETL development, and data integration. You will be doing hands-on work with SQL development, performance tuning, and integration frameworks. You will also collaborate across business and technical teams.


Responsibilities:

  • Using SQL Server Development to design, develop, and maintain complex T-SQL queries, stored procedures, views, and functions.
  • You will optimize query performance and troubleshoot bottlenecks and implement indexing strategies and database tuning techniques.
  • Doing data integration & ETL to build and maintain ETL pipelines using SSIS, Azure Data Factory and other tools.
  • You will integrate data from multiple sources (APIs, flat files, relational systems), and ensure data quality, consistency, and integrity across systems.
  • Design and maintain data warehouse schemas like Star and Snowflake), implement dimensional modeling (facts, dimensions), and support reporting and analytics requirements.
  • It's preferred if you can work with cloud and modern data platforms. That includes working with Azure Data Services (ADF, Synapse, Azure SQL, Data Lake) and migrating on-prem data solutions to cloud environments.
  • You will monitor and optimize ETL jobs and SQL Server performance by conducting root cause analysis for performance issues and implementing best practices for scalability and reliability.
  • Make sure the top problem queries/procs are tuned with measurable performance gains and stable production behavior.
  • Create new database features to be delivered with minimal rework, clean documentation, and consistent SQL standards.
  • Make sure that any production issues are diagnosed quickly with clear root cause and preventative fixes to reduce repeat incidents.
  • Make sure that Power BI datasets refresh reliably and faster due to improved SQL design and aligned metric definitions.


Requirements:

  • At least 7 years of experience in SQL Server development.
  • Strong experience with T-SQL, stored procedures and query optimization.
  • Experience with data warehousing and dimensional modeling.
  • Strong experience with ETL tools like SSIS, and Azure Data Factory.
  • Strong understanding of data integration patterns and best practices.
  • Experience working in healthcare, finance, or enterprise consulting environments is a plus.
  • Experience with Azure Cloud (ADF, Synapse, Azure SQL) is a plus.
  • Experience with Power BI or reporting tools is a plus.
  • Experience with CI/CD pipelines for data solutions is a plus.
  • Experience working with large-scale data platforms is a plus.
  • Experience with Python or Spark is a plus
  • Ability to work onsite with cross-functional teams and to clearly communicate with non-technical stakeholders.


All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. You must be legally authorized to work in the United States without current or future sponsorship.