2

Remote Azure Data Engineer Jobs in New Port Richey, FL

Manager of Data Engineering

Tampa, FL · Remote

$105K - $150K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Data Engineering Manager will ... Guide the team in utilizing Azure Data Factory to create pipelines, tuning databases and ETL for ...

New

Senior Data Engineer

Tampa, FL · Remote

$86K - $115K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Data Engineer designs ... Utilize Azure Data Factory to create pipelines that create, move, and transform data amongst the ...

.Net Azure Developer

Tampa, FL · Remote

$56.25 - $69.75/hr

Job title: .Net Azure Developer Duration - 6 Months Location - FL remote Key Responsibilities ... Implement Delta Lake-based data architectures to ensure data reliability, performance, and ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

This is a remote position with occasional travel. Preference given to East Coast candidates. Key ... Azure DevOps; GitHub CoPilot knowledge is a plus. * Bachelor's degree in Computer Science ...

Demonstratedproficiencyinleveragingcloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.

New

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245470 Location: Tampa,FL,US Share job via: Share Data Engineer ... Experience with a public cloud such as AWS, Microsoft Azure, or Google Cloud * Ability to develop ...

Data Architect

Tampa, FL · On-site +1

$60.25 - $77.50/hr

Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining ... Familiarity with Azure or AWS-based data and data management tools, such as Azure SQL Azure Data ...

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247170 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

MO3-613-Senior Azure Cloud Engineer 11694-1

Tampa, FL · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... I consent to FHR, its affiliates, third parties and partners processing my personal data for these ...

Senior Cloud Engineer (Remote)

Tampa, FL · On-site +1

$52.75 - $70.50/hr

... data pipelines • Configure alerts and dashboards using tools like CloudWatch, Azure Monitor ... and DevOps: • Develop and maintain automation scripts using Python, PowerShell, or Bash • ...

next page

Showing results 1-20

Remote Azure Data Engineer information

See New Port Richey, FL salary details

$39.6K

$115.5K

$158.1K

How much do remote azure data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote azure data engineer in New Port Richey, FL is $115,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are popular job titles related to Remote Azure Data Engineer jobs in New Port Richey, FL?

For Remote Azure Data Engineer jobs in New Port Richey, FL, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Engineer jobs in New Port Richey, FL look for?

The top searched job categories for Remote Azure Data Engineer jobs in New Port Richey, FL are:

What cities near New Port Richey, FL are hiring for Remote Azure Data Engineer jobs?

Cities near New Port Richey, FL with the most Remote Azure Data Engineer job openings:

Infographic showing various Remote Azure Data Engineer job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,537 per year, or $55.5 per hour.

Manager of Data Engineering

Suncoast Credit Union Careers

Tampa, FL • On-site, Remote

$105K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Compensation: $105,000 - $150,000 annually based on experience and credentials

Location Type: Remote (candidate must reside in FL)Position Type: Full Time

The Data Engineering Manager will oversee the credit union's data engineering team, ensuring the design, evaluation, and testing of robust data infrastructures. This role involves managing the daily operations of the data engineering team, coordinating with various departments to meet data needs, and implementing best practices for data management and infrastructure. The manager will foster a culture of innovation, collaboration, and continuous improvement within the team to support the organization's strategic goals. Additionally, the manager will assign work and delegate responsibilities to staff, monitoring progress to ensure goals are met and high-quality member service is maintained.

Responsibilities
  • Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.
  • Manages the Credit Union's data infrastructure to develop operational data pipelines 
  • Guide the team in utilizing Azure Data Factory to create pipelines, tuning databases and ETL for maximum performance, performing data profiling, cleansing, and auditing, architecting advanced data solution
  • Supervise the design and development of ETL processes for extracting data from multiple source systems, transforming it, and loading it into data platforms
  • Leverages the Agile framework to prioritize and complete ad hoc and department-related tasks
  • Leverage existing data infrastructure to fulfill data-related requests, perform data housekeeping,cleansing, normalization, hashing, and implement required data model changes
  • Oversee the deployment of data architectures based on standards set by the manager to drive Suncoast's data strategy and transform business strategies into information architectures.
  • Provides technical assistance to end-users and technical staff regarding system and reporting issues.
  • Inform end-users and technical support staff on data warehouse applications and reporting services.
  • Review and recommend new methods or procedures to make daily operations more efficient
  • Perform considerable short-term planning, scheduling, and coordinating to develop and implement business objectives
  • Set goals for assigned teams to achieve operational and strategic results
  • Provide guidance, mentoring, and development opportunities for directly reporting staff
  • Cultivate strong working relationships, build trust among team members, and respond appropriately to employees' concerns
  • Assist with the development, monitoring, and maintenance of the annual budget
  • Assist with regulatory compliance to ensure work is completed in accordance with applicable laws and government regulations
  • Maintain knowledge and understanding of current trends, laws, and issues affecting area of expertise
  • Attend educational events to increase professional knowledge
  • Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs
Qualifications
  • Bachelor's degree in computer science, data science, information technology, information systems, engineering, mathematics or a related field required.
  • 5 or more years progressively responsible experience in data engineering, preferably with a financial institution. Previous supervisory experience required.
  • Advanced technical skills including SQL DW, SSRS, PowerBI, and other data visualization software knowledge required. 
  • Proficient knowledge of Azure or Apache Spark required
  • Proficiency in SQL, Python, Delta Lake, Azure Data Factory, and other relevant technologies
  • Skills in using Databricks Unity Catalog for data management and proficiency in writing and managing Databricks notebooks
  • A solid understanding of Blob / Data Lake Storage.
  • Excellent organization, prioritization and analytical skills to effectively manage areas of responsibility and attain organizational goals
  • Excellent written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators
  • Ability to analyze and resolve complex problems or situations
  • Ability to positively influence others regarding policies, practices, and procedures
  • Strong knowledge and understanding of credit union products, services, policies, and procedures preferred
  • Strong knowledge and understanding of regulatory compliance
  • Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties preferred

Benefits

  • Financial Well-Being: Bonus Program up to 18%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Employment Type: FULL_TIME