ZipRecruiter

Log In

2

Full Time Streaming Data Engineer Jobs (NOW HIRING)

Otter

Senior Software Engineer - Streaming Data

Seattle, WA · On-site

$139K - $183K/yr

The Senior Software Engineer - Streaming Data will lead the development of real-time streaming pipelines and collaborate with various teams to ensure data quality and performance. Responsibilities ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years ... Kafka, Flink, or Spark Streaming) * 3+ Years Experience in open source frameworks (Spring Boot ...

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

You'll leverage your expertise in data engineering, streaming technologies, and leadership to drive the team towards achieving business objectives. Key Responsibilities: * Team Leadership: Lead ...

Ruri Software Technologies LLC

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

GCP Data Engineer work Location: Irving, TX Duration: 8+ Months * Big data expert with 6+ years ... Spark - Batch & Streaming (Python,Scala ) * Apache Kafka hands on experience * Experience in cloud ...

Guidehouse

Databricks Data Engineer

$113K - $188K/yr

None Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client ... Develop and support batch and streaming data workflows, including ingestion, transformation ...

next page

Showing results 1-20

All JobsStreaming Data Engineer JobsFull Time Streaming Data Engineer Jobs

Full Time Streaming Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time streaming data engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for full time 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 is the difference between Full Time Streaming Data Engineer vs Data Analyst?

AspectFull Time Streaming Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentTech teams, cloud platforms, real-time data pipelinesBusiness units, reporting tools, data visualization platforms
Industry UsageTech, finance, e-commerce, any real-time data-driven industryMarketing, finance, healthcare, business intelligence

Full Time Streaming Data Engineers focus on building and maintaining real-time data pipelines using tools like Kafka and Spark, while Data Analysts interpret data to generate insights and reports. Both roles require strong technical skills, but their core responsibilities differ: engineers develop data infrastructure, whereas analysts analyze data for decision-making.

What cities are hiring for Full Time Streaming Data Engineer jobs? Cities with the most Full Time Streaming Data Engineer job openings:
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
Full Time Streaming Data Engineer jobs near you

Streaming Data Engineer

Bright Vision Technologies

Sunnyvale, CA • Remote

$100K - $150K/yr

Full-time

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

Job description

Streaming Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Streaming Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of experience operating Apache Kafka or Confluent Platform in production.
  • Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
  • Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).
  • Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
  • Experience with HA/DR strategies for Kafka.
  • Strong scripting skills in Python, Bash, or Go.
  • Hands-on experience with infrastructure-as-code (Terraform, Ansible).
  • Working knowledge of observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.
Preferred Qualifications
  • Confluent Certified Administrator or Developer credentials.
  • Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).
  • Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API).
  • Familiarity with stream processing frameworks (Flink, Spark Streaming).
  • Experience with data governance and lineage for streaming data.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Apply