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Entry Level Streaming Data Engineer Jobs (NOW HIRING)

Software Engineer, Data Platform

Mountain View, CA · On-site

$136.30K - $163.60K/yr

Responsibilities : • Design and develop unified, introspectable, large-scale batch and streaming ... data engineering, and its tooling and best practices • Knowledge of batch and streaming data ...

AWS Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

Role: AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position *****NO Corp to ... streaming data. Data Security: Implement data security best practices on AWS, including access ...

Our business spans satellite television service, streaming and on-demand programming, smart home ... Job Duties and Responsibilities Data Engineer II sought by DISH Wireless in Littleton, CO. Maintain ...

Data Engineer

Santa Monica, CA · Remote

$125K - $159K/yr

Streaming/Real-Time: Experience writing and maintaining real time / streaming data pipelines ... software engineering best practices, object oriented analysis & design, and design patterns ...

Data Engineer

Santa Monica, CA · On-site +1

$125K - $159K/yr

Streaming/Real-Time: Experience writing and maintaining real time / streaming data pipelines ... software engineering best practices, object oriented analysis & design, and design patterns ...

Design, develop, and maintain scalable batch and streaming data pipelines in Azure Databricks ... Mentor other engineers and help raise the team's engineering maturity in Databricks and CI/CD.

Entry Level Data Engineer

Indianapolis, IN · On-site

$100.40K - $120.60K/yr

The role of Entry Level Data Engineer involves gaining real-world experience while developing technical skills in various technologies, including databases and programming languages. Qualifications

Data Engineer

Dallas, TX · On-site

$113.30K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience ... Kafka Streaming or real-time data processing frameworks • Experience with Azure or AWS cloud ...

Data Engineer

Dallas, TX · On-site

$113.30K - $136K/yr

Data Engineer LOCATION:Dallas TX Duration: 6 to 12+ Months. Description: Design, develop and build ... Create real time data streaming and processing using Kafka and/or Spark streaming. Work on creating ...

Data Engineer

Sunnyvale, CA · On-site

$134.40K - $161.40K/yr

Build and maintain real-time data streaming systems using Storm, Spark-Streaming, and Kafka ... Strong programming skills in Java, Python, and Scala . * Expertise in big data frameworks : Hadoop ...

Data Engineer I

Augusta, GA · On-site

$107.60K - $129.20K/yr

Data Engineer Manus works across industries and value chains to accelerate the transition to ... Implement Kafka producers to stream data to the cloud warehouse * Work with the India team to ...

Data Engineer

Bentonville, AR · On-site

$100.40K - $120.50K/yr

About the Role: We're seeking a skilled Data Engineer to join our Bentonville team for a 6-month ... You'll be working with modern big data technologies, cloud platforms, and stream-processing systems ...

Data Engineer

Scottsdale, AZ · On-site

$115.40K - $138.50K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note ... Knowledge of streaming frameworks (Spark Streaming, Kafka Streams). * Good to have - Aerospike ...

Data Engineer

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

Role - Data Engineer Location - New Jersey, NJ Type - Full-Time Lead the development and ... Architect, design, and deploy data integration, streaming, and analytics solutions leveraging Spark ...

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Entry Level Streaming Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of May 30, 2026, the average yearly pay for entry level 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 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.

More about Entry Level Streaming Data Engineer jobs
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
What job categories do people searching Entry Level Streaming Data Engineer jobs look for? The top searched job categories for Entry Level Streaming Data Engineer jobs are:

Senior Data Engineer (Innovation Business Unit)

FOCUSPOINT

Brentwood, TN • On-site

$100.30K - $136.20K/yr

Contractor

Posted 8 days ago


Job description

Position: Senior Data Engineer
Location: Brentwood, TN
Employment Type: Full time (contract)
Compensation: Commensurate with experience

Senior Data Engineer – FocusPoint Talent Solutions (Client‑Facing Role)

FocusPoint is partnering with a growing technology‑driven organization to identify a Data Engineer who can build, optimize, and maintain modern data pipelines supporting real‑time, high‑volume analytics. This is a hands‑on technical role for someone who thrives in fast‑moving environments, collaborates well with stakeholders, and can turn complex data challenges into production‑ready solutions.

Role Overview

The Data Engineer will design and maintain scalable data pipelines across Azure and Databricks, integrate data from a wide range of internal and external sources, and ensure that all datasets are time‑synchronized, reliable, and optimized for downstream consumption. This position requires strong engineering fundamentals, excellent listening skills, and the ability to deliver high‑quality data products quickly within a structured SDLC.

Key Responsibilities

  • Build, optimize, and maintain Azure‑based data pipelines and cloud architectures.
  • Develop and manage Databricks workflows, notebooks, and cluster configurations.
  • Integrate data from dozens of disparate sources, including APIs, streaming feeds, and batch systems.
  • Ensure time synchronization and alignment across real‑time and near‑real‑time datasets.
  • Design and optimize table structures, storage formats, and query performance for analytical workloads.
  • Implement robust ETL/ELT processes that support both operational and analytical use cases.
  • Work with APIs to ingest, transform, and validate high‑velocity data streams.
  • Collaborate closely with product, engineering, and business teams—listening actively to requirements and translating them into technical solutions.
  • Deliver data products quickly while maintaining quality, reliability, and adherence to SDLC best practices.
  • Monitor pipeline performance, troubleshoot issues, and continuously improve system efficiency and scalability.

Required Skills & Experience

  • Hands‑on experience with Azure data services (e.g., Data Factory, Databricks, ADLS, Azure SQL).
  • Strong proficiency in Databricks for data engineering, transformation, and optimization.
  • Proven ability to design and optimize table structures, storage layers, and query performance.
  • Experience pulling and integrating data from multiple heterogeneous sources, including APIs.
  • Background working with real‑time or streaming data and ensuring accurate time alignment.
  • Solid understanding of ETL/ELT pipelines, data modeling, and workflow orchestration.
  • Familiarity with SDLC, version control, and production deployment practices.
  • Strong communication and listening skills, with the ability to translate business needs into technical solutions.
  • Ability to deliver high‑quality work quickly in a dynamic environment.

Why Work with FocusPoint
As a trusted staffing partner to industry-leading companies, FocusPoint provides access to roles that align with your professional goals, and we advocate for your success throughout the recruitment process. Our team understands appropriate skillsets and takes a consultative approach ensuring that each match is grounded in both experience and fit.


How to Apply
To ensure confidentiality and alignment with our client’s hiring process, all applications must be submitted through FocusPoint. Please do not attempt to contact the client directly. Interested candidates should reach out to FocusPoint’s recruitment team with any questions.


About FocusPoint:
FocusPoint specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.
 
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