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Intern Streaming Data Engineer Jobs in Colorado (NOW HIRING)

Continuum Media Network, Inc.

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

... streaming inventory, allowing us to plan, activate, and optimize campaigns end-to-end within a ... We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... streaming and batch data pipeline/engineering architectures. • Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS. • Hands-on experience with ...

Continuum Media Network Inc

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

... streaming inventory, allowing us to plan, activate, and optimize campaigns end-to-end within a ... We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... streaming and batch data pipeline/engineering architectures. • Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS. • Hands-on experience with ...

Continuum Media Network Inc

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

... streaming inventory, allowing us to plan, activate, and optimize campaigns end-to-end within a ... We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design ...

Cymertek Corporation

Big Data Engineer

Aurora, CO · On-site

$56.50 - $74.75/hr

... stream processing frameworks • Familiarity with NoSQL databases • Expertise in cloud-based big data solutions • Understanding of data visualization techniques • Knowledge of emerging big data ...

Cymertek

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

Big Data Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Experience with stream processing frameworks * Familiarity with NoSQL databases * Expertise in ...

True Anomaly

Principal Data Engineer

Denver, CO · On-site

$210K - $290K/yr

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 ...

Checkr

Staff Data Engineer

Denver, CO · On-site

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 ...

Asurion

Senior Staff, Data Engineer

Sterling, CO · On-site

$96K - $131K/yr

Python, SQL, Spark, applied statistics, machine learning, streaming, APIs About the Role Asurion is hiring a Senior Staff, Data Engineer for the Customer 360 Platform team. Customer 360 is a ...

Cymertek Corporation

Big Data Engineer

Aurora, CO · On-site

$56.75 - $75.25/hr

S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data Engineer to join ... Experience with stream processing frameworks * Familiarity with NoSQL databases * Expertise in ...

Deloitte

Sr Databricks Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering ...

Garmin International, Inc.

Data Engineer 2

Boulder, CO · On-site

$99K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater ... Experience with real-time streaming technologies such as Kafka * Experience developing data ...

DAT

Staff Data Engineer

Denver, CO · On-site

Streaming: Kafka * Cloud: AWS (S3, EMR, Glue) * Infrastructure: Terraform Why DAT? DAT is an award winning employer of choice. For starters, we have a hybrid work environment, but we also know what ...

DAT

Staff Data Engineer

Denver, CO · On-site

Streaming: Kafka * Cloud: AWS (S3, EMR, Glue) * Infrastructure: Terraform Why DAT? DAT is an award winning employer of choice. For starters, we have a hybrid work environment, but we also know what ...

Garmin Ltd.

Data Engineer 2

Boulder, CO · On-site

$120K - $144K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater ... Experience with real-time streaming technologies such as Kafka * Experience developing data ...

Neerinfo solutions

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 ...

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All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in Colorado

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:

Intern Streaming Data Engineer jobs near you
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.

Data Engineer

Denver, CO • On-site

Continuum Media Network, Inc.
See more jobs at Continuum Media Network, Inc.external

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Job Type
Full-time
Description
Full-Time
$110K - $120K
Continuum is a Managed Service TV advertising platform - making the buying and execution of linear TV advertising easier, faster, and more effective.
Our proprietary platform is the industry's only true linear TV exchange and it connects directly into cable, broadcast, and streaming inventory, allowing us to plan, activate, and optimize campaigns end-to-end within a single system for agencies and advertisers.
We replace the manual, RFP-based buying process with an exchange model that predicts the availability and price of linear inventory - powered by automation, data, and expert media stewardship. The result: more effective reach, faster execution, and a unified view of campaign performance.
We're a team of around 80 people - independent, profitable, and proud of it. Headquartered in Denver, Colorado, with offices in New York and Cardiff, Wales, we've built a culture anchored in respect, trust, and curiosity. We invest in our people through generous benefits, meaningful profit sharing, and an environment that values both performance and perspective.
The BI Team:
The Business Intelligence team is a team of 6 highly collaborative, pragmatic, analytical individuals. We're full-lifecycle data engineers - each team member owns solutions end-to-end, from design through deployment to validation, eliminating single points of failure and ensuring seamlessness when delivering on the day-to-day and long-term projects alike, gaining the knowledge of not just specific functionalities, but all within the department. Whether it is creating and managing visualizations in our reporting platform for our customers to utilize on the front-end, engineering ETLs regarding numerous, disparate data sources feeding our dashboards and other data assets on the back-end, or supporting our operational teams with custom data processes, you will have a hand in the entirety of the BI platform!
You will report directly to a Lead Data Engineer and work closely with the VP of Data and COO to understand business needs and deliver data solutions that drive decision-making across the organization and move our product forward.
Responsibilities:
  • Engineer and own robust, scalable ETLs for cleaning and ingesting datasets
  • Build and maintain dashboards for use by internal stakeholders and external clients
  • Investigate data discrepancies across ingestion, transformation, and reporting layers, identifying root causes and implementing durable fixes
  • Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding data quality assurance
  • Materially improve and expand the company's cloud-based, data platform
  • Implement and/or refine CI/CD, IaC, automated testing, agile, and reporting strategies for the department that can scale
  • Gather requirements from external clients and internal stakeholders and translate them into actionable bodies of work for the BI team
  • Collaborate with software developers and data scientists to deliver cross-departmental solutions
  • Communicate new features and lead trainings for internal users
  • Foster and embrace a healthy culture of collaboration and feedback, strengthening the team's agile roots

Requirements
1-3 years with:
  • BI platform development and/or data engineering
  • Scripting and programming in Python
  • SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc.)
  • One cloud computing service (AWS, GCP, Azure, etc.)
  • Git version control (Bitbucket, GitHub, etc.)
  • Automated tests as a core part of development workflow (unit, integration, etc.)
  • Data visualization tools (Tableau, QuickSight, Power BI, etc.)
  • Validating data accuracy and troubleshooting discrepancies across pipelines or reporting layers (e.g., reconciling source vs. destination data, root-causing anomalies, auditing for correctness, etc.)
  • Working within an agile framework (Kanban, Scrum, etc.)

Preferred Experience:
  • 1-2 years with:
  • IaC tools (CloudFormation, CDK, Terraform, etc.)
  • Building and maintaining CI/CD pipelines (Bitbucket Pipelines, Jenkins, GitHub Actions, etc.)
  • Containerization technologies (Docker, ECS, etc.)

What we offer:
The annual base salary for this position ranges from $110,000 - $120,000, and a comprehensive benefits package - with premiums fully covered by the company. Compensation is determined by role, level, and location, with individual pay further shaped by relevant skills, experience, and education or training.
  • 100% employer-paid premiums for medical, vision, dental and disability
  • Participation in employee profit-sharing bonuses (subject to company performance)
  • Life Insurance, EAP, HSA with employer contribution, Pet Insurance option
  • Unlimited PTO
  • Vacation Incentive Program
  • Hybrid work schedule 3 days in office (Highlands Ranch)
  • 401K company match

Salary Description
$110K - $120K

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