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Entry Level Streaming Data Engineer Jobs in Washington, DC

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 ...

IT America Inc

Data Engineer

Mclean, VA · 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 ...

Omm IT Solutions

Sr Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Design and build scalable batch and streaming data pipelines using PySpark for large\-scale data ... Platform Engineering: Build and manage Snowflake warehouses, schemas, and data models optimized for ...

Delan Associates, Inc

Data Engineer II

Arlington, VA

$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 ...

Delan Associates, Inc.

Data Engineer II

Arlington, VA · 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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All JobsStreaming Data Engineer JobsEntry Level Streaming Data Engineer JobsEntry Level Streaming Data Engineer Jobs in Washington, DC

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 Aug 4, 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:
Entry Level Streaming Data Engineer jobs near you
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, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer

Magnus Management Group LLC

Washington, DC • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud analytics. The candidate will manage ingestion, transformation, quality control, and optimization of structured and unstructured data across cloud-based analytics platforms.
Responsibilities
  • Should bring a minimum of three (3) years of professional experience in data engineering or a related field. 
  • Demonstrate the ability to design, build, and maintain scalable ETL pipelines across diverse data sources. 
  • Should apply strong SQL and Python skills, or equivalent technologies, to ingest and transform data from flat files, JSON, XML, Excel, APIs, graph databases, with flexibility to adapt to additional formats and sources as needed. 
  • Should possess experience loading, managing, and optimizing data within platforms such as Databricks Unity Catalog and SQL Server managed instances, including work with streaming and batch ingestion frameworks and modern Lakehouse architecture. 
  • Should exhibit strong capabilities in implementing standard quality control processes to ensure data quality, lineage, reliability, and performance while collaborating effectively with cross‑functional teams. 
  • Must have familiarity with data governance, data quality, and data management practices consistent with enterprise data management (EDM) standards. 
  • Must have experience supporting fraud detection, anomaly detection, or financial oversight analytics environment preferred. 
Minimum Qualifications
  • Minimum 3 years data engineering experience. 
  • Strong SQL skills. 
  • Strong Python programming. 
  • Experience building ETL pipelines. 
  • Experience with Databricks. 
  • Experience with Azure SQL or SQL Server. 
  • Experience implementing data quality processes. 
Preferred Qualifications
  • Experience with fraud detection analytics. 
  • Experience with streaming data pipelines. 
  • Experience supporting enterprise data governance. 

This is a remote position.