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Data Engineer Flink Jobs in Washington (NOW HIRING)

SZNS Solutions LLC

Data Engineer

Reston, VA

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Flink, Beam, Spark) and orchestration tools (e.g., Airflow) * Experience architecting data stores ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Flink, Beam, Spark) and orchestration tools (e.g., Airflow) * Experience architecting data stores ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Flink, Beam, Spark) and orchestration tools (e.g., Airflow) * Experience architecting data stores ...

ASM Research

Data Engineer Senior

Fairfax, VA · On-site

$116K - $140K/yr

The Data Engineer Senior designs, builds, and maintains scalable data pipelines and core data ... Flink to support high-volume, near-real-time and batch data processing across the enterprise.

JANSON

Data Engineer (Engineer IV)

Fairfax, VA · On-site

$117K - $140K/yr

COMPANY is seeking a Data Engineer to join a cutting-edge initiative in support of the U.S ... Implement streaming data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming.

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 ...

The Washington Post

Senior Data Engineer

Washington, DC

$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

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal ... Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams)

rockITdata

Full Stack Data Engineer

Arlington, VA · Remote

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal ... Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams)

SteerBridge

Senior Data Engineer

Vienna, VA

$135K - $160K/yr

Hands-on experience with distributed processing tools (Apache Kafka, Airflow, Spark, Flink, NiFi ... Programming and Software Engineering * Strong proficiency in Python and SQL for data processing ...

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Data Engineer Flink information

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.

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

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 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 popular job titles related to Data Engineer Flink jobs in Washington? For Data Engineer Flink jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Engineer Flink jobs in Washington look for? The top searched job categories for Data Engineer Flink jobs in Washington are:
What cities in Washington are hiring for Data Engineer Flink jobs? Cities in Washington with the most Data Engineer Flink job openings:
Data Engineer Flink jobs near you

Data Engineer

SZNS Solutions LLC

Reston, VA

$119K - $143K/yr

Full-time

Re-posted 16 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

Apply