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Intern Streaming Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer

Tempe, AZ · On-site

$174K - $261K/yr

Your work will power access to data for a variety of use-cases, be it real-time stream processing ... The day-to-day In this Software Engineer role, you will own core components of data ingestion and ...

Data Engineer

Phoenix, AZ · On-site

$40 - $42/hr

Creating/supporting Spark based processing, Kafka streaming * Developing data flows using Kafka ... engineering including hands-on experience working with Hadoop and Google Cloud data solutions

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Experience with both Streaming and Batch Data Ingestion (Lambda) * Experience with Java * Must have ... The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Lead Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay ... and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and ...

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and ... Streaming technologies like Kafka and Spark • Expertise in Scala and/or Java • Working ...

Data Engineer III

Chandler, AZ · On-site +1

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Experience with data pipeline design, data modeling, streaming and batch ingestion technologies ...

Data Engineer III

Chandler, AZ · On-site +1

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Experience with data pipeline design, data modeling, streaming and batch ingestion technologies ...

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Experience with data pipeline design, data modeling, streaming and batch ingestion technologies ...

Build and optimize batch, file-based, and real-time streaming data ingestion processes from ... Partner with DevOps teams to implement CI/CD practices for data pipeline deployments. Required ...

Data Engineer

Phoenix, AZ · On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / ... Hands-on experience developing data flows using Kafka, Flink, and Spark streaming. Qualified ...

Lead Data Engineer

Goodyear, AZ · On-site

$148K - $198K/yr

Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods. Required Education

New

Lead Data Engineer

Phoenix, AZ · On-site

$148K - $198K/yr

Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods. Required Education

New

Lead Data Engineer

Chandler, AZ · On-site

$148K - $198K/yr

Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods. Required Education

New

Lead Data Engineer

Mesa, AZ · On-site

$148K - $198K/yr

Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods. Required Education

New

Lead Data Engineer

Tucson, AZ · On-site

$148K - $198K/yr

Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods. Required Education

New

Data Engineer Manager

Globe, AZ

$108K - $130K/yr

The Data Engineering Manager is responsible for the designing, building, and maintaining automated ... real-time streaming architectures. * Demonstrated experience in incident resolution, root cause ...

Showing results 21-40

Intern Streaming Data Engineer information

What does an intern streaming data engineer do?

An Intern Streaming Data Engineer assists in designing, developing, and maintaining systems that process real-time data streams. They typically work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to collect, process, and analyze data as it arrives. Their responsibilities may include writing code, troubleshooting data pipelines, and collaborating with senior engineers to ensure data flows efficiently. The role is ideal for students or recent graduates looking to gain hands-on experience with big data and real-time analytics.

What types of projects or tasks can an intern streaming data engineer expect to work on during their internship?

As an Intern Streaming Data Engineer, you can expect to work on projects involving the development, testing, and optimization of real-time data pipelines. Typical tasks may include assisting with the integration of streaming platforms like Apache Kafka or AWS Kinesis, writing and debugging code to process large volumes of incoming data, and collaborating with senior engineers to ensure data quality and reliability. You'll often work within a team of data engineers and analysts, gaining hands-on experience with the latest big data tools and contributing to solutions that support real-time analytics and business decision-making.

What are the key skills and qualifications needed to thrive as an intern streaming data engineer, and why are they important?

To thrive as an Intern Streaming Data Engineer, you typically need foundational knowledge in computer science, data engineering concepts, and familiarity with real-time data processing. Experience with tools like Apache Kafka, Apache Flink, or Spark Streaming, and programming languages such as Python or Java, is often preferred. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills and qualifications are crucial for efficiently building, maintaining, and troubleshooting streaming data pipelines in dynamic data-driven environments.

What is the difference between Intern Streaming Data Engineer vs Intern Data Analyst?

AspectIntern Streaming Data EngineerIntern Data Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark Streaming), programming (Python, Java), data pipeline developmentData analysis, SQL, Excel, basic statistical skills
Work EnvironmentDeveloping real-time data pipelines, working with big data toolsAnalyzing stored data, generating reports and insights
Industry UsageTech, finance, e-commerce companies focusing on real-time data processingMarketing, business intelligence, research departments

The Intern Streaming Data Engineer focuses on building and maintaining real-time data pipelines using streaming technologies, requiring programming and big data skills. In contrast, the Intern Data Analyst primarily analyzes stored data to generate insights, emphasizing statistical and reporting skills. Both roles are common in data-driven industries but serve different functions within data management and analysis.

What are the most commonly searched types of Streaming Data Engineer jobs in Arizona?

The most popular types of Streaming Data Engineer jobs in Arizona are:

What job categories do people searching Intern Streaming Data Engineer jobs in Arizona look for?

The top searched job categories for Intern Streaming Data Engineer jobs in Arizona are:

Senior Data Engineer - Enterprise Data Frameworks (Java Spark Focus)

Citizens Bank

Phoenix, AZ • On-site

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description


Senior Data Engineer - Enterprise Data Frameworks
Overview
The Enterprise Data Frameworks team is seeking a Senior Data Engineer with deep expertise in building scalable, high-performance data processing systems using Java, Apache Spark, and modern data engineering tools. This role is ideal for someone passionate about designing resilient data frameworks, optimizing distributed data pipelines, and enabling enterprise-grade data onboarding and automation.
As a Senior Data Engineer, you will lead the development of core components within our data frameworks, integrating Spark-based processing with backend services and APIs. You will collaborate with architects, data engineers, and business stakeholders to deliver secure, compliant, and high-performing solutions.
Primary Responsibilities
• Design and implement distributed data processing pipelines using Apache Spark (Java) for large-scale data ingestion, transformation, and analytics
• Develop and maintain Java-based microservices and APIs to support data workflows and framework orchestration
• Collaborate with UI engineers to integrate backend services with frontend applications for seamless user experiences
• Translate business and technical requirements into scalable data engineering solutions
• Optimize Spark jobs for performance, reliability, and cost-efficiency across cloud and on-prem environments
• Lead code reviews, mentor junior engineers, and contribute to architectural decisions
• Ensure compliance with data governance, security, and change management standards
• Participate in Agile ceremonies and drive continuous improvement in engineering practices
Required Skills and Experience
• 7+ years of experience in data engineering with strong proficiency in Java and Apache Spark
• Proven experience building and optimizing Spark jobs for batch and streaming data
• Solid understanding of data lake architectures, Iceberg/Parquet, and metadata-driven frameworks
• Experience with Spring Boot, RESTful APIs, and microservices architecture
• Familiarity with CI/CD pipelines, Git, and containerization (Docker/Kubernetes)
• Exposure to cloud platforms such as AWS (S3, EMR, Lambda, API Gateway) is a plus
• Experience working with data-centric applications and collaborating with frontend and platform teams
• Good to have: Experience with Generative AI tools or frameworks for developer assistance, metadata analysis, or automation
Education and Certifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Work Schedule
• Hours per Week: 40
• Location: Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
• Schedule: Monday through Friday
Pay Transparency
The salary range for this position is $120,000-160,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.
#LI-Citizens2
About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.