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Weekend Amazon Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Hurlburt Field, FL ยท On-site

$73K - $175K/yr

Role This Data Engineer directly supports the Air Force Special Operations Command based at ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Data Engineer

Hurlburt Field, FL ยท On-site

$104K - $125K/yr

Role This Data Engineer supports Air Force Special Operations Command (AFSOC) at Hurlburt Field ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Data Engineer

Hurlburt Field, FL ยท On-site

$104K - $125K/yr

Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ... Engineering. * Verifiable work experience working with data structures, database management ...

Data Engineer

Hurlburt Field, FL ยท On-site

$73K - $175K/yr

Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ... Engineering. * Verifiable work experience working with data structures, database management ...

Data Engineer

Coral Springs, FL ยท On-site

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to ... AWS (Amazon Web Services) * Redshift * EC2 * Solid understanding of statistical analysis and data ...

Data Engineer

Hurlburt Field, FL ยท On-site

$104K - $125K/yr

... Amazon Web Service (AWS). โ€ข Coordinate with stakeholders, including product, data and design ... Engineering. โ€ข Verifiable work experience working with data structures, database management ...

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL ยท On-site

$106K - $128K/yr

Title: Data Engineer- W2 ROLE Duration: 12-month contract, can extend to 24 months Role Type ... Amazon MWAA, GitLab Runners or UC4 * Multiple years of experience with ELT/ETL data pipeline ...

Lead Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

Title and Summary Lead Data Engineer Overview We are seeking a Lead Data Engineer with expertise in ... such as Amazon S3, EMR, Glue, Lambda, ECS/EKS, and CloudWatch for developing, deploying, and ...

Data Engineer

Jacksonville, FL ยท On-site

$106K - $127K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Sumterville, FL ยท On-site

$113K - $136K/yr

The Data Engineer should be able to transform data using PySpark, Spark SQL, Python, SQL, and deep ... on weekends for assignment completion and flexibility to change scheduling and report to work on ...

... 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 ...

Databricks Data Engineer II

Tampa, FL ยท On-site

$108K - $129K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

... 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 ...

... 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 ...

... 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 ...

Databricks Data Engineer II

Miami, FL ยท On-site

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

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Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Florida? The most popular types of Amazon Data Engineer jobs in Florida are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in Florida? For Weekend Amazon Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Florida look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Florida are:
What cities in Florida are hiring for Weekend Amazon Data Engineer jobs? Cities in Florida with the most Weekend Amazon Data Engineer job openings:
Data Engineer

Data Engineer

Clarity Innovations

Hurlburt Field, FL โ€ข On-site

$73K - $175K/yr

Other

Posted 17 days ago


Job description

Role

This Data Engineer directly supports the Air Force Special Operations Command based at Hurlburt Field, Florida. Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support AFSOC's initiative to be more capable and effective when leveraging their data resources.

Responsibilities

A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data Engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design.ย 

The Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.

The Senior Data Engineer shall perform the following tasks:

  • Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources.ย 
  • Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
  • Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.ย 
  • Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.ย 
  • Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
  • Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
  • Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs
Requirements
  • Minimum of 1-year experience is required.
  • Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
  • Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
  • Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
  • A Secret Clearance is required to start
Preferred Qualifications
  • Familiarity with Palantir Envision and/or MSS
  • Familiarity with DoD.
  • Top Secret Clearance with SCI eligibility

Salary Range: $73,000 - $175,000