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Streaming Data Engineer Jobs (NOW HIRING)

Dark Wolf Solutions

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts ... Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform ...

Dark Wolf Solutions

Data Engineer - Expert

Herndon, VA · On-site

$165K - $200K/yr

Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts ... Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform ...

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining ... Experience with streaming data pipelines. * Experience supporting enterprise data governance. This ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$150K - $250K/yr

The Data Engineer will work with and analyze our client's challenges and provide solutions by designing and implementing batch and streaming data pipelines. What You Must Have * Active TS/SCI with ...

RIT Solutions, Inc.

Databricks Data Engineer

$117K - $140K/yr

Required : • Cloud Platform - GCP preferred!! but Azure, AWS are okay. • ETL, ELT, Data Streaming, Data Sharing • Strong data engineering background • Python preferred or Scala • Retail ...

Motorola

Principal Streaming Data Architect

Schaumburg, IL · On-site

$158K - $185K/yr

The Principal Streaming Data Architect will lead the real-time data streaming and processing ... He/She will work with our engineering, product, compliance, and infrastructure teams in developing ...

New

Motorola Solutions

$158K - $185K/yr

The Principal Streaming Data Architect will lead the real-time data streaming and processing ... He/She will work with our engineering, product, compliance, and infrastructure teams in developing ...

New

Plugins Inc

Data Engineer

Dallas, TX · On-site

$104K - $125K/yr

This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ...

Plugins Inc

Data Engineer

Dallas, TX · On-site

$104K - $125K/yr

This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ...

CEI

Data Engineer

Richmond, VA · On-site

$100K - $120K/yr

Design and implement scalable streaming pipelines to process real-time data. * Lead performance ... Data Engineer Richmond, VA 23219 (hybrid) Pay: $100,000-120,000 Role Summary The Senior Data ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to ... event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure ...

Motorola

Principal Streaming Data Architect

Chicago, IL · On-site

$158K - $185K/yr

The Principal Streaming Data Architect will lead the real-time data streaming and processing ... He/She will work with our engineering, product, compliance, and infrastructure teams in developing ...

New

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Streaming Data Engineer information

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$44.5K

$129.7K

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How much do streaming data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for streaming data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a streaming data engineer do?

A Streaming Data Engineer designs, builds, and maintains real-time data pipelines that process continuous data streams. They work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to handle large-scale data ingestion and transformation. Their role involves ensuring low-latency data processing, optimizing system performance, and integrating with data lakes or warehouses. They collaborate with data scientists, analysts, and DevOps teams to enable real-time analytics and decision-making.

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

To thrive as a Streaming Data Engineer, you need expertise in real-time data processing, programming (often in Java, Scala, or Python), and a solid understanding of distributed computing principles, typically supported by a degree in computer science or a related field. Familiarity with tools like Apache Kafka, Apache Flink, or Spark Streaming, and experience with cloud platforms such as AWS or Azure, are commonly required, with certifications in relevant technologies being a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts make someone stand out in this position. These skills are crucial for efficiently building, optimizing, and maintaining robust streaming data pipelines in dynamic and collaborative environments.

What is a streaming data engineer?

A streaming data engineer designs, builds, and maintains systems that process real-time data streams using tools like Apache Kafka, Apache Flink, or Spark Streaming. They focus on ensuring low-latency data flow, data integrity, and scalability for applications that require immediate data analysis and decision-making.
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Streaming Data Engineer jobs near you
Infographic showing various Streaming Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Expert

Chantilly, VA • Hybrid

Dark Wolf Solutions
IT Services • 51 - 200 employees
Learn more about Dark Wolf Solutionsexternal

$165K - $200K/yr

Full-time, Contractor

Posted 24 days ago

Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking an Expert Data Engineer to lead the architectural development, scaling, and governance of enterprise-grade data platforms. You will be responsible for designing high-throughput data meshes, establishing automated data quality frameworks, optimizing distributed compute clusters, and ensuring high resilience across air-gapped and multi-cloud networks.

Key Responsibilities

  • Lead the architectural design and implementation of distributed, high-throughput batch and streaming data platforms.
  • Optimize distributed execution engines (Spark, Trino/Presto) to handle petabyte-scale datasets under strict SLAs.
  • Implement Infrastructure as Code (IaC) to provision data platform assets across multi-cloud infrastructure.
  • Establish zero-trust security controls, data lineage tools, and automated compliance scanning for regulated data environments.
  • Act as a Technical Pod Lead, driving Agile sprint deliverables, establishing technical standards, and mentoring data engineering staff.

Qualifications:

  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
  • Experience: 7-10+ years of data engineering experience.

Technical Competencies:

  • Data Processing Frameworks: 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, and lakehouse storage formats (Delta Lake, Apache Iceberg, Apache Hudi).
  • Data Modeling: Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts.
  • Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform development.
  • Containerization: Advanced Kubernetes cluster management, custom operators for data platforms, and service mesh integration.
  • Agile Frameworks: Proven experience acting as a Technical Lead or Scrum Master directing engineering pods.
  • Multi-Cloud Architecture: Advanced experience architecting multi-cloud and hybrid cloud data platform solutions (IaC via Terraform).
  • Security Scanning Tooling: Deep understanding of DevSecOps pipelines, automated compliance testing, and secret rotation management.

Desired Qualifications:

  • Advanced Certifications: AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer.
  • Proven track record architecting data solutions for deployment in air-gapped or high-assurance defense networks.

Position Clearance Requirement: 

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph


Location:  Chantilly/Herndon, VA. 

Target Salary Range: $165,000.00 - $200,000.00 (Commensurate with specialized expertise and technical skillset).


Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

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