1

Data Engineer Two Jobs in Florida (NOW HIRING)

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... frameworks. 2)Architect and optimize data models, schemas, and data platforms to support both ...

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note ... Expertise in 2-3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... 2 years of combined experience in Clinical IT and/or Research * 1-3 years of data engineering and integration experience * 1-3 years of data management in cloud-based data environments such as Azure ...

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Collaborate with ML and AI teams on data needs Qualifications * 2-5+ years of experience in data engineering * Strong SQL and Python skills * Experience with ETL/ELT pipelines and big data tools

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... and analytical role. * 2 to 4 years of recent professional experience with Data Management ...

NOC Engineer II The NOC Engineer II is responsible for providing tier II engineer-level support to ... Ensures UDT knowledge bases contain current and relevant data at all times and reports articles ...

Software/Data Engineer

De Leon Springs, FL · On-site +1

$110K - $145K/yr

Minimum two (2) years of software engineering, systems engineering, or data engineering experience. * U.S. Citizenship required. * Ability to obtain and maintain a favorable Government suitability ...

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

AWS Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer Location:Tampa ,FL Our team's line of questioning would be testing candidate ... If you believe these two have done that and are interested to do that on this assignment, please ...

Data Engineer (Tampa)

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer (Tampa) Company: Peoples Gas System State and City: Florida - Tampa Shift: 8 Hr. X 5 ... WHAT WILL GIVE YOU A COMPETITIVE EDGE? * 2 years of experience with cloud technologies and ...

Data Engineer (Tampa)

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer (Tampa) Company: Peoples Gas System State and City: Florida - Tampa Shift: 8 Hr. X 5 ... WHAT WILL GIVE YOU A COMPETITIVE EDGE? * 2 years of experience with cloud technologies and ...

... - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft ...

... - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft ...

We are seeking a full-time Data Engineer III to join our team and define and deploy mission ... 2) We redefine what is possible We always look beyond the obstacles in front of us to imagine new ...

next page

Showing results 1-20

Data Engineer Two information

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What cities in Florida are hiring for Data Engineer Two jobs? Cities in Florida with the most Data Engineer Two job openings:
Sr Data Engineer

Sr Data Engineer

Pediatric Associates

Plantation, FL • Remote

$109K - $131K/yr

Full-time

Re-posted 3 hours ago


Job description

PRIMARY FUNCTION
The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics.
The Senior Data Engineer collaborates closely with cross-functional teams—including data analysts, data scientists, product managers, and business stakeholders—to define requirements, drive technical discussions, and develop high-quality data solutions. Additionally, this role is expected to clearly communicate technical concepts, translate complex data challenges into actionable business insights, and guide teams toward best-practice data engineering approaches.
 

ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
1)Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
2)Architect and optimize data models, schemas, and data platforms to support both analytical and operational workloads.
3)Design, document, and maintain enterprise-level data models (conceptual, logical, and physical) using data modeling best practices.
4)Collaborate with cross-functional teams to understand requirements, define data strategies, and deliver high-quality engineering solutions.
5)Lead and drive technical discussions, solution design, and architectural decisions across teams.
6)Implement and enforce comprehensive data quality standards, validation rules, and monitoring frameworks to ensure accuracy, consistency, completeness, and reliability across all data assets.
7)Develop efficient, well-structured SQL and complex data transformation logic to support analytics and reporting.
8)Monitor, troubleshoot, and enhance data pipelines for performance, reliability, and cost efficiency.
9)Ensure data security, compliance, and adherence to best practices across cloud and on-premise data systems.
10)Communicate complex technical topics in a clear, business-aligned manner to stakeholders at all levels.
11)Mentor and guide junior and mid-level engineers, contributing to team growth and engineering excellence.
 

QUALIFICATIONS


EDUCATION: Bachelor’s degree in related field required. Master’s degree preferred.
 

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, Apache Spark, Glue) required.
•Proven experience architecting and maintaining large-scale ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
•Deep understanding of data modeling concepts (dimensional modeling, star schema, normalization) required.
•Hands-on experience with modern data warehousing platforms, preferably Databricks/Snowflake/Azure Synapse required.
•Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required.
•Strong programming skills in Python or another modern scripting language required.
 

KNOWLEDGE, SKILLS AND ABILITIES
•Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
•Excellent communication, documentation, and stakeholder engagement skills.
•Proficient in building Power BI data models and creating effective dashboards.
•Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
•Excellent communication, documentation, and stakeholder engagement skills.
•Proficient in building Power BI data models and creating effective dashboards.
 

TYPICAL WORKING CONDITIONS
•Full time remote/telework


OTHER PHYSICAL REQUIREMENTS
•Vision
•Sense of sound
•Sense of touch