Senior Data Engineer

Apex Systems; Tampa (FL); Remote; USD 120,000 - 160,000; Full time

Job summary

Everforth Apex seeks a Senior Data Engineer to build and manage production-grade data pipelines. You will work with Microsoft Fabric on a data platform, collaborate with Azure and Salesforce teams, and ensure reliable data across multiple business applications.

Ideal candidates have 5+ years in data engineering, strong SQL and Python skills, and at least 1 year of Fabric experience in a Scrum environment. Remote work with a Tampa base is supported.

Qualifications

• 5+ years of data engineering experience in production ETL/ELT pipelines.
• Hands-on Microsoft Fabric experience for data platform projects.
• Strong SQL development, Python scripting, and data modeling.

Responsibilities

• Implement and support Microsoft Fabric as enterprise data platform.
• Design, build, and monitor scalable ETL pipelines using Fabric and Azure.
• Develop and maintain enterprise data warehouse architecture.
• Design data models including star schemas for reporting.
• Manage data feeds with internal and external partners.
• Enforce data quality with validation, tests, and reconciliation.
• Optimize workflows and query performance across datasets.
• Automate data infrastructure operations with DataOps practices.
• Define coding standards, version control, and CI/CD for pipelines.
• Collaborate with IT, security, and compliance teams on data handling.

Skills

Data Engineering

SQL

Python

Microsoft Fabric

Azure Data Factory

ETL/ELT pipelines

Tools

Fabric Notebooks

Snowflake

Azure Synapse

GitHub Actions

Job description

Job#: 3054722

Job Description:

Senior Data Engineer

Location: Tampa Bay, Florida (Remote)

Role Overview

We are seeking a Senior Data Engineer to join our team. The ideal candidate is a high mid-level to low-senior-level Data Engineer with hands-on experience building production-grade data pipelines, strong expertise in SQL and Python, and at least one year of real-world Microsoft Fabric experience. This person will work closely with Azure and Salesforce development teams in a Scrum-based environment, supporting data needs across multiple business applications while improving data accessibility, reliability, and reporting capabilities.

Key Responsibilities

• Implement and support Microsoft Fabric as the enterprise data platform, including migration and integration of existing data sources.
• Design, build, and monitor scalable ETL processes using Azure Data Factory pipelines, Fabric Data Factory pipelines, Dataflows Gen2, notebooks, and Spark-based processing.
• Develop and maintain the enterprise data warehouse architecture, ensuring it scales with business needs.
• Design and maintain data models, including dimensional models and star schemas, that support reliable, performant reporting and analytics.
• Manage data feeds to and from internal and external partners, including monitoring and reporting on feed health.
• Establish and enforce data quality standards, including validation rules, automated testing, and reconciliation checks.
• Optimize data workflows and database performance through query tuning and resource management.
• Automate and improve data infrastructure operations, applying DataOps practices to increase reliability.
• Define and champion best practices for data engineering, including coding standards, version control, and CI/CD for data pipelines.
• Collaborate with IT, security, and compliance teams to ensure data handling meets organizational and regulatory requirements.

Required Qualifications

• 5+ years of Data Engineering experience building and supporting production ETL/ELT pipelines.
• Minimum 1 year of hands-on Microsoft Fabric experience, including implementation and support of Fabric Data Factory Pipelines, Lakehouse and/or Warehouse, and Fabric Notebooks.

Strong experience with the Azure Data ecosystem, including Azure Data Factory, Azure SQL, Azure Data Lake, and Synapse Analytics.

• Advanced SQL development skills, including complex query writing, performance tuning, and optimization of large datasets.
• Strong Python development experience for data transformation and automation.
• Experience designing and maintaining enterprise data warehouse solutions, including dimensional modeling and star/snowflake schemas.
• Experience working with Snowflake or similar enterprise data warehouse platforms.
• Experience building and supporting data integrations from multiple source systems, including APIs, application databases, and Salesforce.
• Knowledge of data quality frameworks, validation processes, monitoring, reconciliation, and reliability practices.
• Experience with cloud-based data governance, security, and access controls.
• Ability to collaborate effectively with Product Owners, Developers, QA teams, and business stakeholders in an Agile/Scrum environment.

Preferred Qualifications

• Microsoft certification such as Fabric Analytics Engineer Associate (DP-600) or equivalent.
• Experience with Power BI, including data modeling for integration with reports and dashboards.
• Experience with CI/CD tooling, such as Azure DevOps or GitHub Actions, applied to data pipelines.
• Experience working with healthcare, pharmacy benefit management, or claims data.
• Familiarity with data observability tooling.

Work From Home Requirements

The employee must provide reliable, high-speed internet with sufficient bandwidth to execute all job functions. Additionally, the employee must have a private workspace with a desk and chair, free from distraction.

Physical Demands and Working Conditions

Duties are performed primarily in a home office using company-provided computer equipment. While performing the duties of this job, the employee will regularly sit and talk and is frequently required to use their hands. The employee will occasionally be required to stand and walk. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Everforth Apex is a world-class IT