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Full Time Streaming Data Engineer Jobs (NOW HIRING)

Engineer II, Data

Plano, TX · On-site

$107K - $128K/yr

This role sits on the Enterprise Data Services team, which owns streaming data ingestion, curation ... Applicants must be currently authorized to work in the United States on a full-time basis.

Engineer II, Data

Richmond, VA

$113K - $136K/yr

This role sits on the Enterprise Data Services team, which owns streaming data ingestion, curation ... Applicants must be currently authorized to work in the United States on a full-time basis.

Data Engineer (Databricks)

Manhattan, NY · On-site

$126K - $151K/yr

Responsibilities : • Design and implement scalable data pipelines for batch and streaming use ... data engineering and platform design Qualifications : Required : • Strong experience with ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or ... Working Conditions * Full-time, 40h/week * US-based - US citizenship is required * Remote

Lead Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or ... Working Conditions * Full-time, 40h/week * US-based -- US citizenship is required * Remote

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Own, enhance, and evolve critical datasets, including high-leverage streaming and batch data ...

Data Engineer Databricks (Remote)

Columbus, OH · Remote

$110K - $132K/yr

ComResource is looking for a Data Engineer - Databricks. Responsibilities: Data Engineering ... Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.

... event-streaming data * 5+ years of experience with coding in software programming languages ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI ... Employment Type: FULL_TIME

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Job Type Full-time Description Fervo is building the most cost-effective, repeatable geothermal ... Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ...

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/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. Essential Job Duties * Develop and perform ...

Senior Data Engineer

Chantilly, VA

$108K - $147K/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. Essential Job Duties * Develop and perform ...

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/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. Essential Job Duties * Develop and perform ...

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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 Jul 11, 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:
What states have the most Full Time Streaming Data Engineer jobs? States with the most job openings for Full Time Streaming Data Engineer jobs include:

Senior/Lead Data Engineer (Azure Databricks) - Fulltime Role

Saransh Inc

Alpharetta, GA • On-site

Full-time

Re-posted 18 days ago


Job description

Role: Senior/Lead Data Engineer (Azure Databricks)
Location: Alpharetta, GA (Onsite)
Job Type: Full Time
 
Description:
  • Looking for an experienced Senior/Lead Data Engineer with 8+ years of expertise in designing and delivering scalable, high-performing data solutions on the Azure ecosystem.
  • The ideal candidate will have deep hands-on experience with Databricks, Spark, modern data lakehouse architectures, data modelling, and both batch and real-time data processing.
  • You will be responsible for driving end-to-end data engineering initiatives, influencing architectural decisions, and ensuring robust, high-quality data pipelines.
Experience and Qualifications (Required):
  • 8+ years of hands-on data engineering experience in enterprise environments.
  • Strong expertise in Azure services, especially Azure Databricks, Functions, and Azure Data Factory (preferred).
  • Advanced proficiency in Apache Spark with Python (PySpark).
  • Strong command over SQL, query optimization, and performance tuning.
  • Deep understanding of ETL/ELT methodologies, data pipelines, and scheduling/orchestration.
  • Hands-on experience with Delta Lake (ACID transactions, optimization, schema evolution).
  • Strong experience in data modelling (normalized, dimensional, lakehouse modelling).
  • Experience in both batch processing and real-time/streaming data (Kafka, Event Hub, or similar).
  • Solid understanding of data architecture principles, distributed systems, and cloud-native design patterns.
 
Preferred:
  • Experience with CI/CD tools such as Azure DevOps and Git.
  • Familiarity with IaC tools (Terraform, ARM).
  • Exposure to data governance and cataloging tools (Azure Purview).
  • Experience supporting machine learning or BI workloads on Databricks.
 
 
 
Note: Visa Independent candidates are highly preferred