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Flink Jobs in Reston, VA (NOW HIRING)

SteerBridge

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 ...

SteerBridge

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 ...

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 ...

Nashville Public Radio

Senior Data Engineer

Washington, DC · On-site

$119.70 - $199.30/hr

Lead data engineering efforts using Python, Spark, Flink, and other data processing technologies, delivering scalable, secure, and reliable data pipelines, and contribute to the architecture of large ...

The Washington Post

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Lead data engineering efforts using Python, Spark, Flink and other data processing technologies, delivering scalable, secure, and reliable data pipelines, and contribute to the architecture and ...

rockITdata

Full Stack Data Engineer

Arlington, VA · On-site +1

Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams). * Familiarity with data governance and security practices for protecting sensitive data. * Strong problem ...

Capital One Group

Sr. Staff Data Engineer

Mclean, VA · On-site

$315 - $359/hr

We require deep expertise in AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks mature these enterprise‑scale systems and execute technical strategy. You ...

New

JANSON

Data Engineer (Engineer IV)

Fairfax, VA · On-site

$75K/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.

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Flink information

See Reston, VA salary details

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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.

Senior Data Engineer

SteerBridge

Vienna, VA

$106K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

SteerBridge is a modern technology company delivering innovative, missionfocused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercialgrade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people-especially the veterans whose leadership, problemsolving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Position Overview:

SteerBridge seeks a highly skilled and motivated individual to join our team as a Senior Data Engineer to align data solutions to business requirements by planning and managing data infrastructure and strategy for our AI/ML Maintenance, Sustainment, and Deployment Planning Project. Our team is dedicated to harnessing the power of AI/ML to increase parts availability and reduce maintenance wait times, ultimately maximizing aircraft availability.

In this role, you will be responsible performing Data Engineering tasks within the existing systems of record with multiple databases. Your mission will be to enhance and optimize data entry, management and extraction within this database to ensure its usability within our proprietary system. Data management activities include performing data quality checks, analysis, presenting data and documenting the process. The ideal candidate is a quick learner, curious, innovative, results-oriented and has strong interpersonal skills

Key Responsibilities: 

Data Modeling and Design

  • Advanced data modeling (conceptual, logical, and physical) with emphasis on scalability and maintainability.
  • Strong understanding of database paradigms (relational, NoSQL, graph, time-series, and document-based).
  • Expertise with modern data warehousing platforms (Redshift, Snowflake, BigQuery).
  • Deep understanding of dimensional modeling (star/snowflake schemas) and data vault techniques.
  • Experience designing for both OLTP and OLAP workloads.
  • Proficiency with schema evolution, metadata-driven pipelines, and data versioning strategies.
  • Implementing data retention, archival, and lifecycle policies.
  • Project Experience:
  • Delivered optimized, production-grade data models supporting analytics, reporting, and ML workflows, aligning with established architecture and performance standards.

Data Pipeline Development

  • 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, GCP Dataflow, Azure Data Factory).
  • Deep understanding of incremental processing, idempotency, schema evolution, and backfill logic.
  • Proficient in pipeline automation, observability, and monitoring (metrics, logging, alerting).
  • Strong Python development for ETL - modular, testable, reusable, and performance-optimized.
  • Knowledge of workflow dependency management, retries, and failure recovery strategies.
  • Project Experience:
  • Owned the end-to-end design and implementation of fault-tolerant, high-throughput pipelines integrating diverse data sources while maintaining data quality and SLAs.

Cloud Platforms and Services

  • Deep expertise in AWS, GCP, or Azure data ecosystems.
  • Experience building and managing cloud-native data solutions (Data Lakes, Data Warehouses, Data Mesh).
  • Strong understanding of cloud storage (S3, Blob), managed databases (RDS, DynamoDB), and compute (EMR, Dataproc, ECS).
  • Cost governance and performance optimization for large-scale data workloads.
  • Knowledge of serverless data patterns (AWS Lambda + Athena, GCF + BigQuery).
  • Experience with hybrid/multi-cloud architecture and inter-cloud data movement.
  • Project Experience:
  • Led migration of legacy ETL workflows and data systems to cloud-native architectures, delivering measurable cost, scalability, and performance improvements.

Big Data Technologies

  • Hands-on experience with distributed computing frameworks (Hadoop, Spark, Hive, Presto).
  • Proficiency with data lake and lakehouse architectures (Delta Lake, Apache Iceberg, Apache Hudi).
  • Understanding of partitioning, data compaction, schema evolution, and ACID compliance.
  • Strong knowledge of query optimization on massive datasets (Athena, Trino, Presto).
  • Performance tuning in petabyte-scale distributed systems.
  • Project Experience:
  • Built and maintained data platforms capable of processing structured and unstructured data at scale, enabling advanced analytics and data science workloads.

Database Administration and Optimization

  • Advanced SQL/NoSQL query tuning, indexing, sharding, and partitioning strategies.
  • Proficient with replication, backups, and disaster recovery across distributed systems.
  • Skilled in analyzing query execution plans and applying cost-based optimization.
  • Experience optimizing data-intensive application code and database interfaces.
  • Familiarity with temporal tables, data versioning, and caching strategies.
  • Project Experience:
  • Improved query performance and system scalability through advanced indexing, schema refactoring, and distributed database optimization.

Data Governance and Security

  • Implementing data privacy and compliance frameworks (GDPR, CCPA).
  • Experience with data cataloging, lineage, and metadata management (DataHub, Collibra, Alation).
  • Role-based access control and sensitive data protection across multi-tenant systems.
  • Integration of data quality validation and data contract testing within CI/CD pipelines.
  • Automation of governance and security policies using cloud-native tools.
  • Project Experience:
  • Implemented enterprise-grade data governance and access control frameworks ensuring compliance, lineage visibility, and trust in analytics.

Programming and Software Engineering

  • Strong proficiency in Python and SQL for data processing, automation, and API integration.
  • Expertise in object-oriented programming (OOP) and design patterns in Python.
  • Deep understanding of algorithmic complexity (Big O) and code performance optimization.
  • Familiarity with parallel and distributed computing frameworks (Spark, Dask, Ray).
  • Skilled with version control (Git) and CI/CD tools (GitLab, Jenkins, CircleCI).
  • Proficient in software engineering best practices: testing (pytest/unittest), documentation, type hinting, and linting.
  • Ability to debug, profile, and optimize large-scale data workflows.
  • Project Experience:
  • Developed performant, maintainable Python-based data frameworks, automated ETL systems, and optimized code for distributed workloads.

AI/ML Pipeline Enablement

  • Collaboration with data scientists on feature engineering, data preparation, and model deployment.
  • Knowledge of ML orchestration and experiment tracking (MLflow, Kubeflow).
  • Familiarity with feature stores and data lineage for ML.
  • Integration of batch and streaming data pipelines for real-time inference.
  • Hands-on experience with analytics and visualization tools (Tableau, Power BI).
  • Project Experience:
  • Built and maintained ML-ready data pipelines and infrastructure supporting training, experimentation, and real-time inference.

Leadership and Collaboration

  • Mentoring and guiding junior engineers in data design, coding standards, and performance optimization.
  • Leading cross-functional projects with data scientists, analysts, and business partners.
  • Promoting best practices for data engineering and governance within the organization.
  • Effective stakeholder communication, documentation, and Agile project management.
  • Ability to conduct technical reviews and enforce design and scalability standards.
  • Project Experience:
  • Provided technical leadership for cross-domain data initiatives, fostering best practices in data engineering and enabling scalable, maintainable systems.

Required Qualifications:

  • Must be a U.S. Citizen.
  • Bachelor's Degree or Above in Systems Engineering, Computer Science or related field.
  • An active security clearance or the ability to obtain one is required.
  • Minimum 6+ years of experience to include:
  • Experience in data pipelines, utilizing advanced analytics tools and platforms and Python.
  • Experience in scripting, tooling, and automating large-scale computing environments.
  • Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; Minor experience with TensorFlow, PyTorch, and Scikit-learn.
  • Location: Preferred local to the Vienna, Va area and able to work on-site at our Vienna, VA office (3 or more days/week). Hybrid opportunities at supervisors' discretion. 

Preferred Qualifications:

  • DevOps/DataOps: Infrastructure as code, Docker/Kubernetes, automated deployment of data infrastructure.
  • Testing & CI/CD: Git-based workflows, automated integration testing, and continuous delivery for data pipelines.
  • Performance & Cost Optimization: Tuning query execution, pipeline efficiency, and resource utilization.
  • Automation: Building self-healing data pipelines with retry logic, monitoring, and alerting.
  • Documentation: Strong communication of technical architecture using tools like Lucidchart, PlantUML, or Draw.io.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays
$135,000 - $160,000 a year

A salary commensurate with background and experience will be offered. 

SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.
If you would like information about how your application is processed, please contact us.
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