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Senior Python Data Science Jobs in Boca Raton, FL

Quanta Search

Python Developer

West Palm Beach, FL · On-site

$48.50 - $67/hr

... pipelines and libraries to retrieve data and perform computation • Creating front-end ... Science, Engineering, Information Systems, etc • Strong communication skills - must be able to ...

Td

AML Business Data Manager

Fort Lauderdale, FL

$96K - $155K/yr

Position typically deals with senior/executive management * Works independently on activities ... viable data science solutions * Uses a wide range of programing languages (e.g. Python) and ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

... Science Use Cases. * Practical experience in Python and at least 1 of the following programming languages: Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++. * Experience building data ingestion ...

Modernizing Medicine

Senior Data Engineer 1

Boca Raton, FL

$100K - $136K/yr

We've built a team of passionate, creative, and innovative engineers and data scientists that are ... Extensive knowledge and experience in Object-Oriented python. * Understanding of data warehouse ...

Chewy

Sr. Pricing Manager

Plantation, FL

$118K - $189K/yr

As a Sr Pricing Manager, you will find yourself in a unique position of leveraging data science and ... Advanced skill with SQL, Python, Tableau and statistical methods (hypothesis testing, A/B testing ...

Chewy

Sr. Pricing Manager

Plantation, FL · On-site

$118K - $189K/yr

As a Sr Pricing Manager, you will find yourself in a unique position of leveraging data science and ... Advanced skill with SQL, Python, Tableau and statistical methods (hypothesis testing, A/B testing ...

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Senior Python Data Science information

See Boca Raton, FL salary details

$52.2K

$134.7K

$185K

How much do senior python data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior python data science in Boca Raton, FL is $134,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,300.00 and $155,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What job categories do people searching Senior Python Data Science jobs in Boca Raton, FL look for? The top searched job categories for Senior Python Data Science jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Senior Python Data Science jobs? Cities near Boca Raton, FL with the most Senior Python Data Science job openings:
Senior Python Data Science jobs near you
Infographic showing various Senior Python Data Science job openings in Boca Raton, FL as of May 2026, with employment types broken down into 3% As Needed, 60% Full Time, 27% Part Time, 3% Temporary, and 7% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $134,730 per year, or $64.8 per hour.
Sr Platform Data Engineer.- SGWS

Sr Platform Data Engineer.- SGWS

ShiftCode Analytics

Hollywood, FL • Hybrid

$104K - $125K/yr

Other

Posted 5 days ago

Job description

Sr. Data Platform Engineer

We're looking for a Sr. Data Platform Engineer who thrives in a hybrid role—60% administration and 40% development/support—to help us scale our data and DataOps infrastructure. You'll work with cutting-edge technologies like Databricks, Apache Spark, Delta Lake, and AWS CloudOps, Cloud Security, while supporting mission-critical data pipelines and integrations. If you're a hands-on engineer with strong Python skills, deep AWS experience, and a knack for solving complex data challenges, we want to hear from you.

Responsibilities:

  • Design, develop, and maintain scalable ETL pipelines and integration frameworks.
  • Administer and optimize Databricks and Apache Spark environments for data engineering workloads.
  • Build and manage data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3.
  • Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments.
  • Automate platform operations using Python, PySpark, and infrastructure-as-code tools.
  • Collaborate with cross-functional teams to support data ingestion, transformation, and deployment.
  • Provide technical leadership and mentorship to junior developers and third-party teams.
  • Create and maintain technical documentation and training materials.
  • Troubleshoot recurring issues and implement long-term resolutions.

Requirements:

  • Bachelor's or Master's degree in Computer Science or related field.
  • 5+ years of experience in data engineering or platform administration.
  • 3+ years of experience in integration framework development with a strong emphasis on Databricks, AWS, and ETL.
  • Strong AWS: fundamental understanding of cloud trail, cloud watch, S3, and ML platform experience (Glue, Lambda, AWS console management)
  • Experience managing Databricks on AWS platform and integrating with Redshift and Databricks
  • Strong programming skills in Python and PySpark.
  • Expertise in Databricks, Apache Spark, and Delta Lake.
  • Proficiency in AWS CloudOps, Cloud Security, including configuration, deployment, and monitoring.
  • Strong SQL skills and hands-on experience with Amazon Redshift.
  • Experience with ETL development, data transformation, and orchestration tools.
  • Kafka for real-time data streaming and integration.
  • Fivetran and DBT for data ingestion and transformation.
  • Familiarity with DataOps practices and open-source data tooling.
  • Experience with integration tools such as Apache Camel and MuleSoft.
  • Understanding of RESTful APIs, message queuing, and event-driven architectures.
ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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