1

Flink Jobs in Virginia (NOW HIRING)

Data Engineer (Engineer IV)

Fairfax, VA · On-site

$117K - $140K/yr

Implement streaming data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming. * Process and analyze data in real-time for applications like fraud detection or IoT analytics.

Hands-on experience with distributed processing tools (Apache Kafka, Airflow, Spark, Flink, NiFi). * Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue ...

Senior Data Engineer

Vienna, VA

$106K - $144K/yr

Hands-on experience with distributed processing tools (Apache Kafka, Airflow, Spark, Flink, NiFi). * Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue ...

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Hands-on experience with distributed processing tools (Apache Kafka, Airflow, Spark, Flink, NiFi). * Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue ...

Sr. Data Architect

Vienna, VA

$67.50 - $90.25/hr

Proficiency in tools like Apache Kafka, Airflow, Spark, Flink, or NiFi * Experience with cloud-based data services (AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Real-time and batch data ...

Sr. Data Architect

Vienna, VA · On-site

$67.50 - $90.25/hr

Proficiency in tools like Apache Kafka, Airflow, Spark, Flink, or NiFi * Experience with cloud-based data services (AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Real-time and batch data ...

Sr. Data Architect

Vienna, VA · On-site

$155K - $180K/yr

Proficiency in tools like Apache Kafka, Airflow, Spark, Flink, or NiFi * Experience with cloud-based data services (AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Real-time and batch data ...

Deep background with integrations and transformations of numerous types of data sources, and the solution delivery of real-time data distribution (e.g., Kafka, Kinesis, Flink), NoSQL (e.g., MongoDB ...

Deep background with integrations and transformations of numerous types of data sources, and the solution delivery of real-time data distribution (e.g., Kafka, Kinesis, Flink), NoSQL (e.g., MongoDB ...

Software Developer

Richmond, VA · On-site

$103K - $172K/yr

Exposure to data engineering and big data tools (e.g., Spark, Flink). Education * Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About MMS McKesson ...

Familiarity with legacy data lakes (Hadoop, Delta Lake), real-time streaming tools (Apache Kafka, Flink), and modern CI/CD pipelines (Infrastructure as Code). * Proficiency in at least one ...

Showing results 21-40

Flink information

See Virginia salary details

$10

$57

$84

How much do flink jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for flink in Virginia is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.73 per hour, depending on experience, location, and employer.

What are Flink jobs?

Flink jobs are user-defined programs that run on Apache Flink, an open-source stream processing framework. These jobs process data in real-time or in batches, allowing organizations to analyze, transform, or aggregate large volumes of data efficiently. Flink jobs are written in languages like Java, Scala, or Python and can be used for a variety of applications such as event-driven analytics, real-time monitoring, and data pipeline processing. They can be deployed on clusters to handle large-scale data processing with low latency and high throughput.

How to start a Flink job?

To start a Flink job, you need to package your application as a JAR file and submit it to a Flink cluster using the command line interface, typically with the 'flink run' command. Ensure your environment is set up with Java and Flink installed, and that your job code is properly configured for the cluster environment. Monitoring and debugging can be done through Flink's web dashboard or logs.

What is the difference between Flink vs Kafka Streams?

AspectFlinkKafka Streams
Primary UseDistributed stream processing framework for large-scale data processingClient library for real-time stream processing within Kafka
Deployment EnvironmentCluster-based, supports standalone and cloud deploymentsEmbedded within Java applications, runs on client machines
ComplexityRequires setup of cluster and infrastructureSimpler to integrate with existing Kafka setup
Use CasesComplex event processing, large-scale analyticsReal-time data transformation, lightweight processing

Flink and Kafka Streams are both popular stream processing tools, but Flink is suited for large-scale, complex processing across clusters, while Kafka Streams is ideal for lightweight, real-time processing within Kafka environments. Your choice depends on processing complexity and deployment needs.

What are some common challenges faced by Apache Flink developers and how can they be overcome?

Apache Flink developers often encounter challenges such as handling stateful stream processing at scale, ensuring low-latency data flows, and managing the complexities of distributed systems. Addressing these issues typically involves careful job design, leveraging Flink's checkpointing and state management features, and optimizing resource allocation. Collaborating closely with DevOps and data engineering teams can also help in troubleshooting deployment and performance bottlenecks, ensuring smooth operation in production environments.

What is a Flink job?

A Flink job is a program written using Apache Flink, an open-source framework for distributed stream and batch data processing. It involves defining data sources, transformations, and sinks to process large-scale data in real-time or batch mode, often requiring knowledge of Java or Scala and familiarity with Flink's APIs and environment.

What are the key skills and qualifications needed to thrive as an Apache Flink developer?

To thrive as an Apache Flink Developer, you need strong programming skills (typically in Java or Scala), a solid understanding of distributed systems, and experience with real-time data processing frameworks, preferably backed by a relevant degree in computer science or engineering. Familiarity with Flink’s APIs, stream processing concepts, and integration with tools like Kafka, Hadoop, or AWS, as well as certifications in big data technologies, are highly valuable. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with teams and troubleshooting complex data workflows. These skills are crucial for building scalable, reliable, and efficient data pipelines that drive real-time analytics and business decisions.

What does Flink do?

A Flink job involves developing and maintaining real-time data processing applications using Apache Flink, an open-source stream processing framework. It requires skills in Java or Scala, understanding of distributed systems, and familiarity with data streaming concepts to efficiently process large-scale data in real-time environments.

What are popular job titles related to Flink jobs in Virginia?

For Flink jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Flink jobs in Virginia look for?

The top searched job categories for Flink jobs in Virginia are:

What cities in Virginia are hiring for Flink jobs?

Cities in Virginia with the most Flink job openings:

Infographic showing various Flink job openings in Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,098 per year, or $57.3 per hour.

Data Engineer (Engineer IV)

JANSON

Fairfax, VA • On-site

$117K - $140K/yr

Full-time

Re-posted just now


Job description

Description:

Job Description:


COMPANY is seeking a Data Engineer to join a cutting-edge initiative in support of the U.S. Department of Defense (DoD) in Germany. This role plays a vital part in delivering critical engineering and technical support services, with a strong emphasis on leveraging advanced data science and engineering solutions to drive mission success.



Position: Data Engineer (Engineer IV)

Location: Kaiserslautern, Germany

Clearance: Secret



Responsibilities include, but are not limited to, the following:


Configure Data Pipelines:


Design ETL Processes: Extract, transform, and load (ETL) data from various sources including but not limited to DoD Advana and Army Vantage, into data warehouses or data lakes. Ensure data is cleaned, normalized, and enriched during transformation.


Build Data Pipelines:

  • Configure automated workflows to move data between systems using tools like Apache Airflow, AWS Glue, or Azure Data Factory.
  • Optimize pipelines for scalability and reliability.
  • Implement Real-Time Data Processing
  • Implement streaming data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming.
  • Process and analyze data in real-time for applications like fraud detection or IoT analytics.


Manage Data Storage:

  • Design Databases
  • Design and implement relational databases (e.g., MySQL, PostgreSQL) or NoSQL databases (e.g., MongoDB, Cassandra) based on project requirements.
  • Ensure efficient schema design and indexing for performance.


Warehouse Data:


  • Build and maintain data warehouses using platforms like Snowflake, Amazon Redshift, or Google BigQuery.
  • Optimize storage and query performance for analytical workloads.
  • Support the Management of Data Lakes/Integrate within existing organizational policies.
  • Understand and interpret policies to better support the command with regards to integrating products into existing data lakes to ensure long-term sustainability.


Integrate Data


  • Connect Data Sources
  • Integrate data from APIs, databases, flat files, and third-party systems.
  • Handle diverse data formats like JSON, XML, CSV, and Parquet.\
  • Migrate Data
  • Migrate data between systems during upgrades or transitions (e.g., moving from on-premises to cloud).
  • Configure APIs
  • Configure APIs to expose data for consumption by other systems or applications.
  • Manage Data Quality and Governance at the 21st TSC level in accordance with USAEUR-AF policies and guidance


Validate Data


  • Implement checks to ensure data accuracy, completeness, and consistency.
  • Identify and resolve data anomalies or errors.


Manage Metadata


Document data lineage, definitions, and transformations to ensure transparency and traceability.

Implement and manage Compliance and Security measures

Ensure data systems comply with regulations like GDPR, HIPAA, or CCPA.

Implement security measures such as encryption, access control, and auditing.

Work with internal teams within the Group to rectify or otherwise mitigate data quality issues in analyses and tool configuration being performed within the Group.

Work with PEOs and PMs of Systems of Record that provide feed the multiple data platforms to understand and correct data issues


Job Requirements:


Years of Experience combination of any of the following:


Eighteen (18) years of recent specialized experience

  • Major IT Certification AND fourteen (14) years of recent specialized experience
  • Associate’s degree in computer science, information management, or related discipline AND fourteen (14) years of recent specialized experience
  • Bachelor’s degree in computer science, information management, or related discipline AND ten (10) years of recent specialized experience
  • Master’s degree in computer science, information management, or related discipline AND seven (7) years of recent specialized experience
  • IA Technical Level II certification or higher:
  • CCNA-Security
  • CompTIA CySA+
  • Global Industrial Cyber Security Professional (GICSP)
  • GIAC Security Essentials (GSEC)
  • CompTIA Security+ CE
  • EC-Council Certified Network Defense (CND)
  • (ISC)² Certified?System?Security?Practitioner (SSCP)
Requirements: