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Data Engineer Flink Jobs in Florida (NOW HIRING)

Purple Drive

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive ... Hands-on experience with Apache Flink for real-time stream processing and event-driven data ...

1872 Consulting

Data Engineer

Saint Petersburg, FL

$108K - $130K/yr

... Flink, or other Stream Processing technologies2+ years of experience working with Kafka or similar ... data pipeline backbone4+ years of experience with Unix/Linux systems with scripting experience in ...

1872 Consulting

Data Engineer

Saint Petersburg, FL

$108K - $130K/yr

... Flink, or other Stream Processing technologies2+ years of experience working with Kafka or similar ... data pipeline backbone4+ years of experience with Unix/Linux systems with scripting experience in ...

ONE ALLIANCE INSURANCE MANAGERS INC

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The Data Engineer will play a critical role within the Information Technology organization ... Hands-on experience with big data processing, streaming technologies (Kafka, Spark, Flink), and API ...

Citigroup, Inc.

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data ... Practical, hands-on experience with Confluent Kafka and Apache Flink (or Apache Spark Streaming ...

Citi

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data ... Practical, hands-on experience with Confluent Kafka and Apache Flink (or Apache Spark Streaming ...

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Data Engineer Flink information

What is a data engineer Flink?

A Data Engineer Flink is a data engineering professional who specializes in using Apache Flink, an open-source stream processing framework, to build, maintain, and optimize systems that process large-scale data in real time. They design and implement data pipelines, ensure data quality and consistency, and collaborate with other engineering teams to deliver reliable and scalable data solutions. Their expertise allows organizations to process, analyze, and react to data as it is generated, enabling real-time insights and decision-making.

What are the key skills and qualifications needed to thrive as a data engineer Flink?

To thrive as a Data Engineer specializing in Flink, you need strong programming skills (especially in Java or Scala), a solid understanding of distributed data processing, and experience with data architecture. Familiarity with Apache Flink, stream processing frameworks, big data tools (like Kafka, Hadoop, or Spark), and cloud platforms is typically required, along with relevant certifications. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in complex data environments. These competencies are crucial for building reliable, scalable data pipelines that power real-time analytics and business decision-making.

What are some common challenges data engineers face when working with Apache Flink in a production environment?

Data Engineers working with Apache Flink often encounter challenges such as managing stateful stream processing at scale, ensuring fault tolerance, and optimizing resource usage for real-time data pipelines. Handling late-arriving data and tuning Flink jobs for low latency and high throughput are also frequent hurdles. Collaborating closely with data scientists and application developers is key to aligning data models and ensuring smooth data flow throughout the system.

Are data engineers still in demand?

Data engineers, including those skilled in Apache Flink, are in high demand due to the increasing need for real-time data processing and scalable data infrastructure. Organizations seek professionals with expertise in big data tools, cloud platforms, and programming languages like Java or Scala to build and maintain data pipelines. The role is expected to grow as data-driven decision-making becomes more critical across industries.

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For Data Engineer Flink jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Engineer Flink jobs in Florida look for?

The top searched job categories for Data Engineer Flink jobs in Florida are:

What cities in Florida are hiring for Data Engineer Flink jobs?

Cities in Florida with the most Data Engineer Flink job openings:

Data Engineer Flink jobs near you

Python Data Engineer

Purple Drive

Tampa, FL

$108K - $129K/yr

Contractor

Posted 21 days ago

Job description

Strong hands-on experience in Python for data engineering and application development. Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch, and Redshift. Strong expertise in Apache Spark for large-scale batch data processing. Hands-on experience with Apache Flink for real-time stream processing and event-driven data pipelines. Experience designing and implementing batch and streaming data architectures. Strong knowledge of data modeling, data warehousing, and data lake/lakehouse concepts. Experience with ETL/ELT frameworks and data integration. Strong SQL skills and experience with relational and NoSQL databases. Experience with Apache Kafka or similar messaging/event streaming platformsStrong understanding of distributed computing and big data technologies. Experience with Docker, Kubernetes, and CI/CD pipelinesHands-on experience with Git and Agile development methodologies. Design and implement scalable, secure, and high-performance data architecture solutions on AWS. Build and optimize batch processing pipelines using Apache Spark. Develop real-time streaming data solutions using Apache Flink. Design end-to-end data ingestion, transformation, and processing pipelines. Define data models, governance standards, and architectural best practices. Python, Apache Spark, AWS, Apache Flink, batch and streaming data architectures, ETL/ELT, Apache Kafka, Docker, Kubernetes, CI/CD pipelines.