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Senior Amazon Data Engineer Jobs in Lake Butler, FL

Boeing

Senior AWS Software Data Engineer

Jacksonville, FL · On-site

$113K - $149K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... Experience with Amazon OpenSearch, RedShift, Lambda * Experience with Tanzu (formerly PCF)

Boeing

Senior AWS Software Data Engineer

Jacksonville, FL · On-site

$113K - $149K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... Experience with Amazon OpenSearch, RedShift, Lambda * Experience with Tanzu (formerly PCF)

Veridic Solutions

Data engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Role: Sr. Data engineer Location: Jacksonville, FL (onsite) Job type: Fulltime Qualifications Educational and Experience Requirements * Bachelor's degree and 6+ years of experience in data analytics ...

Pwc

Data Engineer - Senior Manager

Jacksonville, FL

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Jacksonville, FL · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

First American

Senior Data Engineer

Jacksonville, FL · On-site

$129K - $172K/yr

What We Do The Senior Data Engineer is a data expert and plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing. Supports ...

University of Florida

Data Engineer I

Gainesville, FL · On-site

$65K - $78K/yr

Data Engineer I Job no: 540908 Work type: Staff Full-Time Location: Main Campus (Gainesville, FL ... About UF Information Technology Led by Senior Vice President and CIO Elias Eldayrie, the nine ...

University of Florida

Data Engineer II

Gainesville, FL · On-site

$82K - $95K/yr

Data Engineer II Job no: 540910 Work type: Staff Full-Time Location: Main Campus (Gainesville, FL ... About UF Information Technology Led by Senior Vice President and CIO Elias Eldayrie, the nine ...

ARC Group

SQL Data Engineer

Jacksonville, FL

$106K - $127K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL Data Engineer! This position is a hybrid position located in Jacksonville, FL, working 2-3 days ...

FIS

AAI Data Engineer - Enterprise Platform

Jacksonville, FL · On-site

$106K - $127K/yr

Configure connections with Amazon S3 and Azure Data Lake Storage for efficient data movement. Apply ... Engineering, or related field and three (3) years of experience in the job offered or a related ...

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All JobsAmazon Data Engineer JobsSenior Amazon Data Engineer JobsSenior Amazon Data Engineer Jobs in Lake Butler, FL

Senior Amazon Data Engineer information

See Lake Butler, FL salary details

$73.9K

$115.2K

$159.6K

How much do senior amazon data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for senior amazon data engineer in Lake Butler, FL is $115,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $131,400.00 per year, depending on experience, location, and employer.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

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

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What job categories do people searching Senior Amazon Data Engineer jobs in Lake Butler, FL look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Lake Butler, FL are:

What cities near Lake Butler, FL are hiring for Senior Amazon Data Engineer jobs?

Cities near Lake Butler, FL with the most Senior Amazon Data Engineer job openings:

Senior Amazon Data Engineer jobs near you

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 3 days ago

Job description

LOCAL to Naperville,IL ONLY!
Role Descriptions: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Essential Skills: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Desirable Skills:
Keyword:
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Python Web Frameworks~MySQL
Experience Required: 6-8, Project Code :

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