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Entry Level Streaming Data Engineer Jobs in Washington, DC

Data Engineer

Elkridge, MD ยท On-site

$160K - $200K/yr

The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment. Key ...

Data Engineer

Laurel, MD ยท On-site

$160K - $200K/yr

The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment. Key ...

Data Engineer

Columbia, MD ยท On-site

$160K - $200K/yr

The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment. Key ...

Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

Develop and manage batch processing and real-time streaming data workflows using Apache Kafka and ... Support EOFY Management data engineering activities, including ETL pauses, point-in-time reporting ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of ... Develop and manage batch processing and real-time streaming data workflows using Apache Kafka and ...

Data Engineer

Washington, DC

$129K - $155K/yr

We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of ... Develop and manage batch processing and real-time streaming data workflows using Apache Kafka and ...

We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of ... Develop and manage batch processing and real-time streaming data workflows using Apache Kafka and ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... Exposure to real-time streaming technologies (Kafka, Kinesis). * Familiarity with machine learning ...

Data Engineer II

Arlington, VA ยท On-site

$131K - $158K/yr

Apache Spark (PySpark, Spark SQL, Spark Streaming) Hadoop ecosystem (HDFS/Ozone, Hive, YARN) Python ... Data Engineers with strong Spark/Hadoop backgrounds who have built enterprise data pipelines and ...

Data Engineer II

Arlington, VA ยท On-site +1

$131K - $158K/yr

Apache Spark (PySpark, Spark SQL, Spark Streaming) Hadoop ecosystem (HDFS/Ozone, Hive, YARN) Python ... Data Engineers with strong Spark/Hadoop backgrounds who have built enterprise data pipelines and ...

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Showing results 1-20

Entry Level Streaming Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do entry level streaming data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level streaming data engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Streaming Data Engineer vs Data Analyst?

AspectEntry Level Streaming Data EngineerData Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modelingData visualization, SQL, statistical analysis, Excel
CertificationsOptional certifications in data engineering or cloud platformsCertifications in data analysis or business intelligence tools
Work EnvironmentDeveloping real-time data pipelines, working with streaming data systemsInterpreting data, creating reports, supporting decision-making
Industry UsageTech, finance, e-commerce, where real-time data processing is criticalMarketing, finance, healthcare, focusing on data insights

In summary, Entry Level Streaming Data Engineers focus on building and maintaining real-time data pipelines using streaming technologies, while Data Analysts interpret and visualize data to support business decisions. Both roles require different skill sets but are essential in data-driven industries.

What are the most commonly searched types of Streaming Data Engineer jobs in Washington, DC? The most popular types of Streaming Data Engineer jobs in Washington, DC are:
What are popular job titles related to Entry Level Streaming Data Engineer jobs in Washington, DC? For Entry Level Streaming Data Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Streaming Data Engineer jobs in Washington, DC look for? The top searched job categories for Entry Level Streaming Data Engineer jobs in Washington, DC are:
Infographic showing various Entry Level Streaming Data Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer

Hire Hangar

Elkridge, MD โ€ข On-site

$160K - $200K/yr

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Join Hire Hangar and work with fast-growing global companies while building a long-term career.

Job Title: Data Engineer
Location | Remote (US Only)
Time Zone | US Time Zones (ESTโ€“PST)

Role Overview:
We are seeking a Software Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment.

Key Responsibilities:
- Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data
- Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data
- Build and optimize web scraping and crawler infrastructure to support continuous data collection
- Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way
- Collaborate cross-functionally to translate product requirements into scalable technical solutions
- Write clean, maintainable, well-tested code across the stack
- Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers

Required Qualifications:
- Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin)
- Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark)
- Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript
- Front-end development experience with React, Next.js, and TypeScript
- Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure
- Comfortable working in a high-growth, early-stage engineering environment with evolving priorities
- Must be authorized to work in the United States without sponsorship

Preferred Qualifications:
-Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations
- Experience with social listening, social media data, or large-scale web data platforms
- Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow
- Prior experience at a seed-to-Series B startup
- Experience with AWS, GCP, Docker, or Kubernetes

Tools & Technology:
- Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar)
- Streaming/data pipeline tools (Kafka, Spark, Flink, or similar)
- React, Next.js, TypeScript
- Python, Go, or Node.js
- Cloud infrastructure (AWS/GCP), Docker, Kubernetes

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Compensation Range: $160K - $200K