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Data Source Jobs in Florida (NOW HIRING)

USM

Urgent Need Database Analyst

Tallahassee, FL · On-site

... data source repository Maintains and elaborates existing Informatica data source repository update/refresh processes Maintains and elaborates existing and new Informatica data profiling ...

USM

Database Analyst

Tallahassee, FL · On-site

... data source repository Maintains and elaborates existing Informatica data source repository update/refresh processes Maintains and elaborates existing and new Informatica data profiling ...

Seven Seven Software

ThoughtSpot Developer

Tampa, FL · On-site

The required skill set is a senior ThoughtSpot developer with hands-on experience in: • ThoughtSpot modeling, worksheet creation, and dashboard development • SQL and backend data source ...

Triveni IT

BigData Spark Developer

Tampa, FL

$48.25 - $62.50/hr

Collaborate with various data source teams on effective strategies for data ingestion, * Experience in Agile SDLC, JIRA, Bitbucket/Git is a PLUS, SQL knowledge and fine query fine-tuning capabilities ...

TriOptus LLC

Business Data Analyst

Tampa, FL · On-site

Understanding of Data Vendor/Data Source Hierarchy for Golden Copy * Experience/understanding of business process reengineering and business modeling concepts, business systems development and ...

Programmers.io

Ontology Business Consultant

Tampa, FL · On-site

... data source systemsPartner closely with product| engineering| and data teams to ensure the model is performant| queryable| and fit for delivery From a tooling and delivery perspective| this includes ...

Lukos

All-Source Intelligence Analyst

Tampa, FL · On-site

All-Source Intelligence Analyst Please note: This position is contingent upon the award of a ... Compile foundational data as well as conduct near-term and long-term analysis of the socio-cultural ...

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All JobsData Source JobsData Source Jobs in Florida

Data Source information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data source jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data source in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Source, and why are they important?

To thrive as a Data Source, you need a comprehensive understanding of data collection, data integrity, and compliance with relevant data standards, often supported by experience in data management or information systems. Familiarity with database management systems, data warehousing tools, and data governance frameworks is typically required. Strong attention to detail, analytical thinking, and effective communication skills are essential soft skills for ensuring accurate and accessible data delivery. These abilities are crucial for maintaining data quality, supporting decision-making, and upholding organizational trust in information assets.

How do Data Source professionals typically collaborate with data engineers and analysts on large projects?

Data Source professionals play a key role in bridging the gap between raw data and actionable insights. They work closely with data engineers to ensure data is collected, integrated, and maintained accurately from multiple sources, while also collaborating with analysts to understand data requirements and support reporting needs. Regular communication and alignment meetings are common, and successful collaboration often involves clearly documenting data flows, troubleshooting data quality issues, and jointly developing data pipelines. This teamwork helps ensure that data is reliable, accessible, and tailored to the organization's analytical goals.

What is the difference between Data Source vs Data Analyst?

AspectData SourceData Analyst
Primary RoleProvides raw data for analysisInterprets and analyzes data to generate insights
Required SkillsData collection, database managementData analysis, visualization, reporting
Work EnvironmentData collection points, databases, data warehousesOffice, remote, analytics teams
CertificationsDatabase certifications, data managementExcel, SQL, data analysis certifications

In summary, a Data Source focuses on providing and managing raw data, while a Data Analyst interprets this data to support decision-making. Both roles are essential in the data ecosystem but serve different functions within the data workflow.

What are Data Sources?

Data sources are origins or locations from which data is obtained for analysis, reporting, or storage. They can include databases, spreadsheets, APIs, data warehouses, or even physical files. In technology and business contexts, a data source provides the raw information that systems and analysts use to make informed decisions or drive applications. Understanding the type and structure of a data source is crucial for effective data integration and management.
What are popular job titles related to Data Source jobs in Florida? For Data Source jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Source jobs in Florida look for? The top searched job categories for Data Source jobs in Florida are:
Data Source jobs near you

Data Engineer | BigQuery & GTM Data (Salesforce)

SumasEdge Corporation

Miami, FL • On-site

$109K - $131K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Title:- Data Engineer | BigQuery & GTM Data (Salesforce)

Duration:- 6 - 12+ months on-going contract to hire

Location: 5 days /wk onsite - 1 SE 3rd Ave, Suite 2620, Miami, FL 33131

 

Recruiter Notes:

MUST HAVE:

  • BigQuery (core data warehouse)
  • Salesforce (primary data source)

Role Overview

We are looking for a hands-on Data Engineer to join our Data Team and build the data foundation that powers analytics across the business. In this role, you will design and maintain scalable data pipelines, ensuring that clean, reliable data is available for reporting on pipeline performance, revenue, and customer health.

You will work closely with Data Analysts and stakeholders across Sales, Marketing, Customer Success, and Finance to enable data-driven decision-making by delivering high-quality, well-modeled data in BigQuery.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines to ingest data from Salesforce, marketing platforms, and other SaaS systems into BigQuery
  • Own and optimize the BigQuery data warehouse, including performance, cost efficiency, and data organization
  • Model and transform raw data into clean, analytics-ready datasets to support reporting on pipeline, ARR, churn, and customer lifecycle
  • Develop and maintain data models (fact/dimension tables) aligned to GTM and RevOps use cases
  • Ensure data quality and reliability through validation checks, monitoring, and alerting
  • Identify and resolve data inconsistencies, especially across CRM (Salesforce) and downstream systems
  • Partner with Data Analysts to support dashboards and reporting by delivering trusted, well-structured data
  • Support near real-time or batch data integration depending on business needs
  • Document data pipelines, definitions, and architecture to support a self-service data environment
  • Collaborate with engineering and business teams on data architecture and system integrations

Required Qualifications

  • 3+ years of experience in Data Engineering or Data Platform roles
  • Strong hands-on experience with Google BigQuery
  • Proven experience building pipelines that integrate Salesforce (or similar CRM) data
  • Strong SQL skills with experience in data transformation and optimization
  • Experience building and maintaining ETL/ELT pipelines using modern tools/frameworks
  • Solid understanding of data modeling (dimensional/star schema) and data warehousing concepts
  • Experience working in cloud-based data environments (Google Cloud Platform preferred)
  • Ability to troubleshoot pipeline failures, data issues, and performance bottlenecks
  • Strong collaboration skills working with analysts and business stakeholders

Nice to Have

  • Experience with dbt or similar transformation frameworks
  • Experience with orchestration tools such as Airflow, Prefect, or Dagster
  • Familiarity with Python for data processing or automation
  • Experience integrating additional GTM tools (e.g., HubSpot, Stripe, Clari)
  • Knowledge of data governance, lineage, and monitoring frameworks
  • Exposure to real-time data pipelines or streaming architectures

Technical Stack

  • BigQuery (core data warehouse)
  • Salesforce (primary data source)
  • SQL
  • ETL / ELT pipelines
  • dbt / transformation layer
  • Google Cloud Platform ecosystem
  • Orchestration tools (Airflow, etc.)

What Success Looks Like

  • Reliable, scalable pipelines delivering clean, accurate GTM data into BigQuery
  • Well-structured data models that enable fast, flexible reporting
  • High trust in Salesforce-derived data across business teams
  • Reduced data quality issues and faster time-to-insight for stakeholders

Apply