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Senior Data Engineer Jobs in Boca Raton, FL (NOW HIRING)

Sr Data Engineer

Plantation, FL ยท On-site

$109K - $131K/yr

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 ...

Sr Data Engineer

Plantation, FL ยท Remote

$109K - $131K/yr

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 ...

Senior Data Engineer

Boca Raton, FL ยท On-site

$100K - $136K/yr

* Seeking a Senior Data Engineer to support and scale critical AIโ€‘driven data initiatives powering customerโ€‘facing, alwaysโ€‘on platforms. * This is a 100% handsโ€‘on, individual contributor role ...

Sr Data Engineer

Fort Lauderdale, FL ยท On-site

$109K - $131K/yr

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing in building a highly scalable, cloud-based GraphQL API layer to deliver sports and betting data ...

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing in building a highly scalable, cloud-based GraphQL API layer to deliver sports and betting data ...

Senior Data Engineer

Fort Lauderdale, FL ยท On-site

$110K - $165K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and standard methodologies for data collection, pipelines, usage, and infrastructure. We are looking for ...

Senior Data Engineer

Boca Raton, FL ยท On-site

$100K - $136K/yr

Job Summary GeniusRx is looking for an experienced data engineer to help bring the next evolution of pharmacy to life. As part of the data science team under product and technology, you will be ...

Senior Data Engineer ID75059

Fort Lauderdale, FL ยท On-site +1

$101K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

Senior Data Engineer ID75059

Boca Raton, FL ยท On-site

$100K - $136K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

Senior Data Engineer ID75059

West Palm Beach, FL ยท On-site +1

$102K - $139K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

Senior Data Engineer ID75059

Fort Lauderdale, FL ยท On-site

$101K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

Senior Data Engineer ID75059

Boca Raton, FL ยท On-site +1

$100K - $136K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

Senior Data Engineer ID75059

West Palm Beach, FL ยท On-site

$102K - $139K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

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Senior Data Engineer information

See Boca Raton, FL salary details

$76.6K

$119.5K

$165.6K

How much do senior data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data engineer in Boca Raton, FL is $119,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $136,200.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Boca Raton, FL? The most popular types of Data Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Senior Data Engineer jobs in Boca Raton, FL? For Senior Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Boca Raton, FL look for? The top searched job categories for Senior Data Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Senior Data Engineer jobs? Cities near Boca Raton, FL with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Boca Raton, FL as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $119,521 per year, or $57.5 per hour.

Sr Data Engineer

Pediatric Associates

Plantation, FL โ€ข On-site

$109K - $131K/yr

Full-time

Re-posted 29 days 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:
โ€ข 10+ years of experience in data engineering or a related field required.
โ€ข Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
โ€ข Proven experience architecting and maintaining large-scale ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
โ€ข Deep understanding of data modeling concepts (dimensional modeling, star schema, normalization) required.
โ€ข Hands-on experience with modern data warehousing platforms, preferably Databricks/Snowflake/Azure Synapse required.
โ€ข Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required.
โ€ข Strong programming skills in Python or another modern scripting language required.
KNOWLEDGE, SKILLS AND ABILITIES
โ€ข Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
โ€ข Excellent communication, documentation, and stakeholder engagement skills.
โ€ข Proficient in building Power BI data models and creating effective dashboards.
โ€ข Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
โ€ข Excellent communication, documentation, and stakeholder engagement skills.
โ€ข Proficient in building Power BI data models and creating effective dashboards.
TYPICAL WORKING CONDITIONS
โ€ข Full time remote/telework
OTHER PHYSICAL REQUIREMENTS
โ€ข Vision
โ€ข Sense of sound
โ€ข Sense of touch