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Intern Streaming Data Engineer Jobs in Colorado (NOW HIRING)

Scala Developer with spark

Denver, CO · On-site

$54.50 - $70.75/hr

Scala Developer with spark Location: Denver, CO Contract Description: * 3-4 years of working ... Experience in working with Core Spark, Spark Streaming, Data Frame API, Data set API, Data Source ...

Senior Data Engineer

Denver, CO · On-site +1

$190K - $220K/yr

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly ... and event streams. * Strong foundation in data modeling, schema design, and data quality best ...

(USA) Senior, Data Engineer

Denver, CO · On-site

$109K - $148K/yr

The Senior Data Engineer will be responsible for not only understanding data pipelines but, event streaming applications, and how to build systems that handle massive amounts of data while making it ...

Staff Data Engineer

Denver, CO · On-site

$224K - $264K/yr

As a Staff Data Engineer on the People Data team, you'll help build and evolve the centralized ... Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream ...

Senior Forward Deployed Engineer- AWS

Denver, CO · On-site

$107K - $147K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Lead Forward Deployed Engineer - AWS

Denver, CO · On-site

$105K - $139K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Staff Data Engineer

Denver, CO · On-site

$224K - $264K/yr

As a Staff Data Engineer on the People Data team, you'll help build and evolve the centralized ... Experience building large‑scale data processing pipelines using ETL/ELT, batch, and stream ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Senior Data Engineer, Databricks Company: COLAS USA Job Location: DENVER, COLORADO, USA Type of ... Set the platform roadmap and defend pattern-level decisions - batch vs. streaming, Delta Live ...

Set the platform roadmap and defend pattern-level decisions -- batch vs. streaming, Delta Live ... Engineer reliability: data quality expectations, restartable pipelines, monitoring, and dependable ...

Sr. Data Engineer, Data Products

Colorado Springs, CO · On-site

$113K - $135K/yr

The Sr. Data Engineer, Data Products position exists to design, build, and optimize certified data ... Develops and maintains scheduled automation (Snowflake Tasks, Streams, or equivalent orchestration ...

Sr. Data Engineer, Data Products

Colorado Springs, CO · On-site

$113K - $135K/yr

The Sr. Data Engineer, Data Products position exists to design, build, and optimize certified data ... Develops and maintains scheduled automation (Snowflake Tasks, Streams, or equivalent orchestration ...

Showing results 41-60

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 popular job titles related to Intern Streaming Data Engineer jobs in Colorado?

For Intern Streaming Data Engineer jobs in Colorado, the most frequently searched job titles are:

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

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

Infographic showing various Intern Streaming Data Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Data Engineer with Security Clearance

Denver, CO • On-site

$210K - $290K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES * Be the offset. We create asymmetric advantages with creativity and ingenuity. * What would it take? We challenge assumptions to deliver ambitious results. * It's the people. Our team is our competitive advantage and we are better together. YOUR MISSION We are looking for a Principal Data Engineer to provide hands-on technical leadership in designing, building and evolving scalable data platforms. This role will be responsible for solving complex data engineering challenges, establishing engineering standards, and guiding the technical direction of True Anomaly's Enterprise Data Platform. The ideal candidate is a strong hands-on engineer with deep experience in Python, SQL, and modern cloud data platforms such as Snowflake, Databricks or Redshift. This role will embrace the use of AI to aid data engineering and improve productivity, including leveraging AI-assisted development tools, automation and systems to accelerate pipeline development, improve code quality and optimize workflows. RESPONSIBILITIES * Design, develop and maintain scalable data pipelines and data products using Python, SQL and modern data engineering practices, supporting batch, streaming, analytics, and AI/ML workloads * Build and optimize ELT/ETL processes and data models using cloud data platforms with a focus on performance, scalability, reliability and cost efficiency * Establish and apply engineering best practices for data quality, testing, monitoring, observability, CI/CD, version control, security, and production reliability * Own data engineering projects end-to-end, from technical design and development through deployment, production support, troubleshooting, and continuous improvement * Collaborate across engineering, AI/ML, analytics, product and business teams to translate requirements into reliable, scalable data solutions and products and contribute to technical design decisions * Leverage AI-assisted engineering tools while contributing to data engineering technical excellence through code reviews, reusable frameworks, documentation, knowledge sharing, and mentoring other data engineers * Mentor Junior and Senior Data Engineers and provide technical guidance across the engineering teams QUALIFICATIONS * 10+ years of experience in data engineering and software engineering field * Strong hands-on Python and SQL experience * 3+ years of experience with Snowflake, Databricks, or both * Strong understanding of data engineering, data architecture, data modelling and ELT/ETL * Strong understanding of software engineering practices including Git, testing, CI/CD and code reviews * Demonstrated ability to provide technical leadership and mentor other engineers * Adopt AI-assisted engineering tools to improve productivity and delivery speed PREFERRED QUALIFICATIONS * Experience with AWS, Azure or GCP * Experience with Airflow, dbt, Kafka or similar technologies * Experience building out Lakehouse architectures * Experience with data governance, lineage and observability What we are looking for: This is a hands-on Principal level engineering role. The successful candidate should be comfortable writing code, designing architecture, solving difficult technical problems, and influencing best data practices across the company COMPENSATION * Base Salary: Denver - $200,000 - $280,000, Long Beach - $210,000 - $290,000 * Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS * Work Location- Long Beach, CA, or Denver, CO. While we observe a hybrid work environment, you will need to be onsite as the business needs require. Onsite requirements are subject to change, particularly when work on classified systems is required. On an average week, you can expect to spend at least 3 days per week in office. * Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. * Physical demands-the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us. Create a Job Alert Interested in building your career at True Anomaly? Get future opportunities sent straight to your email. Create alert