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Flink Jobs in Reston, VA (NOW HIRING)

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark) and orchestration tools (e.g., Airflow) * Experience architecting data ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark) and orchestration tools (e.g., Airflow) * Experience architecting data ...

Dark Wolf Solutions

Data Engineer - Expert

Herndon, VA · On-site

$165K - $200K/yr

Expert-level mastery of Apache Spark, Flink, Kafka, Ray, and workflow orchestration engines. * Database Systems: Deep understanding of distributed systems internals, LSM trees, column-family stores ...

Dark Wolf Solutions

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

Expert-level mastery of Apache Spark, Flink, Kafka, Ray, and workflow orchestration engines. * Database Systems: Deep understanding of distributed systems internals, LSM trees, column-family stores ...

Dark Wolf Solutions

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

Expert-level mastery of Apache Spark, Flink, Kafka, Ray, and workflow orchestration engines. * Database Systems: Deep understanding of distributed systems internals, LSM trees, column-family stores ...

August Schell

Databricks SME

Rockville, MD · On-site

$116K - $140K/yr

Experience with data streaming technologies (e.g., Apache Kafka, Apache Flink) and real-time data processing. * Familiarity with AI and machine learning concepts and the ability to work with data ...

August Schell

Databricks SME

Rockville, MD · On-site

$116K - $140K/yr

Experience with data streaming technologies (e.g., Apache Kafka, Apache Flink) and real-time data processing. * Familiarity with AI and machine learning concepts and the ability to work with data ...

SteerBridge

Senior Data Engineer

Vienna, VA · On-site

$135K - $160K/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 ...

OpenDataJobs

Data Engineer Role

Washington, DC · On-site

$129K - $155K/yr

Specific openings may name Amazon Web Services, Microsoft Azure, Google Cloud, Spark, Airflow, Kafka, Flink, dbt, relational or nonrelational databases, data warehouses, lakehouses, search platforms ...

OpenDataJobs

Data Engineer Role

Washington, DC · On-site

$129K - $155K/yr

Specific openings may name Amazon Web Services, Microsoft Azure, Google Cloud, Spark, Airflow, Kafka, Flink, dbt, relational or nonrelational databases, data warehouses, lakehouses, search platforms ...

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Flink information

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How much do flink jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for flink in Reston, VA is $60.08, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $70.00 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.

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 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 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 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 job categories do people searching Flink jobs in Reston, VA look for?

The top searched job categories for Flink jobs in Reston, VA are:

What cities near Reston, VA are hiring for Flink jobs?

Cities near Reston, VA with the most Flink job openings:

Flink jobs near you
Infographic showing various Flink job openings in Reston, VA as of August 2026, with employment types broken down into 49% Full Time, and 51% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $125,206 per year, or $60.2 per hour.

Data Engineer

SZNS Solutions LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 21 days ago

Job description

"SZNS Solutions (pronounced "seasons") is a technology consulting company and Google Cloud Partner based in Reston VA. We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application development."
Role Summary
The Data Engineer is the bedrock of intelligence operations, responsible for turning raw, unstructured data into actionable intelligence. You will embed directly with clients to build the data pipelines that power AI workflows. We build systems that don't just move data, but do it with the speed and reliability required for live and automated intelligence. Ultimately, you'll create the foundations that will influence key strategic decisions for us and our customers.
Key Responsibilities
  • ETL/ELT Pipelines: Architect and deploy pipelines to ingest, transform, and store data from high volume, disparate sources for real-time analysis
  • Build for the Enterprise: Create a highly reliable single source of truth for enterprise intelligence and enablement
  • AI Workflow Enablement: Architect and optimize production-grade data foundations to support high-performance AI workflows and automated decision-making.
  • Operations & Governance: Establish and automate strict data security, quality assurance, and governance processes. Design systems for high fault tolerance and rapid disaster recovery
  • Efficiency: Design and model for efficient queries, resource usage, workload scheduling, and cost

Requirements
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 5+ years of experience in data engineering, within a cloud environment, demonstrating a clear progression from engineering into architectural design
  • Proficiency in SQL and strong programming skills in Python, Rust, or Java
  • Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark) and orchestration tools (e.g., Airflow)
  • Experience architecting data stores and schemas for AI workflows (e.g., RAG)
  • Active Google Cloud certifications, or willingness to obtain within one month of joining
  • Builder mentality and bias for action
  • US Citizen
Preferred Qualifications
  • Deep expertise in the Google Cloud Platform (GCP) ecosystem, specifically building streaming and batch pipelines using Dataflow (Apache Beam), Pub/Sub, BigQuery, and Cloud Composer (Airflow)
  • Strong background in data modeling and architecture across relational (e.g., PostgreSQL), NoSQL (e.g., Firestore, MongoDB), and graph databases (e.g., Neo4j), including modern cloud data warehouses (e.g., BigQuery) and data lakes (e.g., GCS, Dataproc)
  • Demonstrated experience setting up infrastructure for modern data science, machine learning, or Generative AI (e.g., preparing unstructured data, vector databases, RAG pipelines)
  • Familiarity with regulatory compliance frameworks (FedRAMP, HIPAA, etc.) and security strategies
  • Experience with modern data platforms like Snowflake or Databricks

Benefits
  • Competitive salary and benefits package
  • Hybrid work environment (MWF in-person in our Reston office)
  • A collaborative and innovative work environment
  • Continuous learning and development opportunities

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