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Manager Sql Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

... ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required. * Azure DevOps; GitHub CoPilot knowledge is a plus.

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... managers, and business stakeholders-to define requirements, drive technical discussions, and ... SQL and complex data transformation logic to support analytics and reporting. 8)Monitor ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... managers, and business stakeholders--to define requirements, drive technical discussions, and ... SQL and complex data transformation logic to support analytics and reporting. 8)Monitor ...

The Technology & Data team is seeking an experienced Data Engineer II to support the design ... PL/SQL * ETL/ELT Development * Data Warehousing * Data Modeling * Healthcare Data Management

The Technology & Data team is seeking an experienced Data Engineer II to support the design ... PL/SQL * ETL/ELT Development * Data Warehousing * Data Modeling * Healthcare Data Management

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.

Data Engineer

Orlando, FL

$101K - $136K/yr

This role will report to the Sr. Manager of Data Engineering. This is a Full-Time Role. What You ... Understanding and hands-on experience with SQL, Python, Java, and/or VBA for effective data ...

New

Azure Data Engineer

Melbourne, FL · On-site

$62K - $141K/yr

Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with Python, PySpark, and SQL, including T-SQL and Spark SQL * Experience building ...

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to ... Write and optimize SQL queries to extract relevant data from MySQL databases * Create data ...

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Tampa, FL Duration: 8+ Months • Data Management -BigQuery big data hive GCP components • In ... Big Query, Cloud Composer, Data Fusion) • In-depth knowledge of SQL (plSQL, Hive, Impala, Oracle ...

Lead Data Engineer

Saint Petersburg, FL · Hybrid

$96K - $127K/yr

Summary As part of the Wealth Management Technology organization, the Lead Data Engineer, Apps Dev ... This role requires hands-on experience with Oracle SQL, PL/SQL, enterprise job scheduling platforms ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Manage and extend our Fivetran connector configurations; implement custom connectors where no off ... related role. • Strong SQL and Python skills - comfortable building pipelines, writing ...

Showing results 41-60

Manager Sql Data Engineer information

What does a Manager SQL Data Engineer do?

A Manager SQL Data Engineer oversees a team responsible for designing, developing, and maintaining SQL databases that store and organize large amounts of data. They manage data engineering projects, ensure best practices in data modeling and ETL processes, and work closely with other departments to understand data needs. In addition to technical responsibilities, they provide leadership, mentor junior engineers, and ensure data security and integrity across the organization. Their role is critical in making sure data systems are efficient, reliable, and scalable.

How does a Manager SQL Data Engineer typically collaborate with cross-functional teams within an organization?

A Manager SQL Data Engineer frequently works alongside data analysts, software engineers, business intelligence teams, and key business stakeholders to ensure data solutions align with organizational goals. This collaboration often involves gathering requirements, translating business needs into technical specifications, and overseeing the development and deployment of data pipelines and databases. The manager also facilitates communication between technical and non-technical team members, ensuring that data strategies are clearly understood and effectively implemented across departments.

What are the key skills and qualifications needed to thrive as a Manager SQL Data Engineer?

To thrive as a Manager SQL Data Engineer, you need deep expertise in SQL development, database architecture, data modeling, and leadership experience, usually supported by a degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), ETL tools, and certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Strong communication, problem-solving, and team management skills help you effectively lead data engineering teams and collaborate cross-functionally. These skills ensure robust data solutions, efficient team performance, and alignment of data systems with business objectives.
What are the most commonly searched types of Sql Data Engineer jobs in Florida? The most popular types of Sql Data Engineer jobs in Florida are:
What cities in Florida are hiring for Manager Sql Data Engineer jobs? Cities in Florida with the most Manager Sql Data Engineer job openings:
Infographic showing various Manager Sql Data Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer (BI)

Bridgeway Benefit Technologies

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Posted 8 days ago


Job description

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse infrastructure and the semantic models, dashboards, and reporting that sit on top of it. This role involves working closely with analysts, engineers, and business stakeholders to shape our data architecture, build secure and efficient data pipelines and curated data models, and turn data into self-service analytics and insight across the organization. The ideal candidate will have a strong background in data engineering, dimensional and semantic data modeling, business intelligence tooling, and ELT processes, along with a passion for making data accessible and actionable.

This is a remote position with occasional travel. Preference given to East Coast candidates.

Key Responsibilities:

  • Design and maintain semantic data models, metrics layers, and certified datasets that provide a consistent, business-friendly source of truth for reporting and self-service analytics.
  • Define, standardize, and govern KPIs, calculation logic, and a shared metric glossary so that metrics are consistent and trusted across dashboards and self-service analytics.
  • Develop, maintain, and optimize dashboards and reports in Sigma (primary), with some Power BI and native Databricks dashboards/AI-BI Genie , and enable business users to explore data through governed self-service analytics.
  • Define and maintain Sigma workspace standards (workbook templates, certified datasets, RLS configuration, naming/governance conventions) in the development instance for promotion across tenant environments, in partnership with Platform Engineering, for tenant-level administration.
  • Collaborate with the Architecture team on data quality, testing, and observability; own triage and resolution of BI-layer/dashboard issues.
  • Drive BI adoption by training and supporting business users, monitoring dashboard usage, and identifying underused or redundant assets for redesign, training, or deprecation.
  • Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
  • Gather reporting and analytics requirements from business stakeholders, define success measures, and translate them into technical specifications and well-structured data products.
  • Enable analytics, reporting, and AI/ML use cases through well-structured, business-friendly data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving.
  • Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
  • Build and maintain production dashboards and workbooks in Sigma, ensuring reliability and performance for business users.
  • Implement row-level security and Entra ID-based access controls to govern and secure data access within the BI/data platform.
  • Collaborate and communicate proactively with engineering, analytics, and business stakeholders, influencing priorities and driving alignment across teams.

Requirements:

  • 3+ years of hands-on data engineering and/or business intelligence experience required.
  • Experience in Databricks, including DAB and Materialized Views.
  • 3+ years designing semantic/dimensional data models and building dashboards and reports in a modern BI platform including hands-on experience with a metrics or semantic layer required.
  • 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required.
  • Azure DevOps; GitHub CoPilot knowledge is a plus.
  • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
  • Experience dealing with HIPAA compliant data sets is a plus.