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

Sr Data Engineer

Plantation, FL · On-site

$109.10K - $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 · Remote

$109.10K - $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 - REMOTE

Sunrise, FL · On-site +1

$99.10K - $134.60K/yr

Senior Data Engineer - Direct Hire - 100% Remote - Will not support Corp to Corp candidates Our Florida based healthcare client is seeking a highly skilled Senior Data Engineer to lead the next phase ...

Senior Data Engineer

Boca Raton, FL · On-site

$100.60K - $136.70K/yr

* Seeking a Senior Data Engineer to support and scale critical AI‑driven data initiatives powering customer‑facing, always‑on platforms. * This is a 100% hands‑on, individual contributor role ...

Sr Data Engineer

Fort Lauderdale, FL · On-site +1

$125K - $143K/yr

The Senior Data Engineer role is responsible for building and maintaining optimized, highly available data pipelines that enable deeper analysis and reporting. This engineer's duty is to monitor ...

Sr Data Engineer

Fort Lauderdale, FL · On-site

$125K - $143K/yr

The Senior Data Engineer role is responsible for building and maintaining optimized, highly available data pipelines that enable deeper analysis and reporting. This engineer's duty is to monitor ...

Senior Data Engineer

Miami, FL · On-site

$99.37K - $141.96K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our data infrastructure and Business Intelligence systems. This position requires expertise in Snowflake ...

Senior Data Engineer

Miami, FL · On-site

$99.37K - $141.96K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our data infrastructure and Business Intelligence systems. This position requires expertise in Snowflake ...

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 · On-site

$100.30K - $136.20K/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

Boca Raton, FL · On-site

$100.60K - $136.70K/yr

Build and optimize micro‑batch data pipelines with refresh intervals of ~1-2 minutes * Ensure pipelines meet strict performance SLAs, including sub‑two‑minute refresh KPIs * Write and optimize ...

The Senior Data Developer will be, extracting, transforming, and loading data from various sources (external and internal) into an enterprise-wide MDM, transactional database and data warehousing ...

Senior Snowflake Data Engineer

Hollywood, FL · On-site

$97.20K - $132.10K/yr

Senior Snowflake Data Engineer Location: Hybrid - Hollywood, FL (Onsite presence required) Type: 6-12+ Month Contract (Potential to Convert) Position Overview We are seeking a Senior Snowflake Data ...

Senior Snowflake Data Engineer

Hollywood, FL · On-site

$97.20K - $132.10K/yr

Senior Snowflake Data Engineer Location: Hollywood, FL (Onsite, 5 days/week) Type: 6-month contract-to-hire Overview: Seeking an experienced Data Engineer with 5+ years of hands-on Snowflake ...

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Showing results 1-20

Sr Data Engineer information

See Boca Raton, FL salary details

$76.6K

$119.5K

$165.6K

How much do sr data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for sr 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 are the key skills and qualifications needed to thrive as a Sr Data Engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Boca Raton, FL? For Sr Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Boca Raton, FL look for? The top searched job categories for Sr Data Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Sr Data Engineer jobs? Cities near Boca Raton, FL with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Boca Raton, FL as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 83% Physical, 14% Hybrid, and 3% Remote job distribution, with an average salary of $119,521 per year, or $57.5 per hour.

Sr Data Engineer

Pediatric Associates

Plantation, FL • On-site

$109.10K - $131K/yr

Full-time

Posted 15 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:
• 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