ZipRecruiter

Log In

1

Flink Jobs in Colorado (NOW HIRING)

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Oversee the development of stream processing applications using Apache Spark or Apache Flink, and implement real-time data transformations and analytics using KSQL. * Data Storage: Design and ...

ASI

Data Lead (Defense)

Colorado Springs, CO · On-site

... Flink, Spark, or equivalents) and modern orchestration (Airflow, Dagster, Temporal, or similar). • Strong grasp of API design and integration patterns (REST, gRPC, GraphQL) and experience working ...

Windfall

Senior Data Engineer

Denver, CO · On-site

$170K - $220K/yr

Significant experience working with Apache Beam/Spark/Flink or MapReduce * Strong Object-oriented programming ability in a JVM language * Expert knowledge of distributed data processing * Familiarity ...

Bet365

Software Engineer

Denver, CO · Hybrid

$90K - $135K/yr

The skills and experience to help you perform in the role: • Commercial experience within web clients or server-side development. • Knowledge of Kafka, Apache Flink, SQL, Golang, React or ...

bet365

Software Engineer, MarTech

Denver, CO · Hybrid

$90K - $135K/yr

Knowledge of Kafka, Apache Flink, SQL, Golang, React or Typescript, though expertise in similar or alternative technologies are welcome. * Experience working in an environment with high volumes of ...

bet365

Software Engineer, MarTech

Denver, CO · On-site

$90K - $135K/yr

Knowledge of Kafka, Apache Flink, SQL, Golang, React or Typescript, though expertise in similar or alternative technologies are welcome. * Experience working in an environment with high volumes of ...

Bet365

Software Engineer, MarTech

Denver, CO · Hybrid

$90K - $135K/yr

Knowledge of Kafka, Apache Flink, SQL, Golang, React or Typescript, though expertise in similar or alternative technologies are welcome. * Experience working in an environment with high volumes of ...

Everwatch

Software Engineer

Aurora, CO · On-site

$185K - $210K/yr

Experience with data processing and analysis using Apache Flink, Jupyter Notebook, AI/ML tools and frameworks * Experience with monitoring and observability with Prometheus, Grafana * Experience with ...

Everwatch

Software Engineer

Aurora, CO · On-site

$185K - $210K/yr

Experience with data processing and analysis using Apache Flink, Jupyter Notebook, AI/ML tools and frameworks * Experience with monitoring and observability with Prometheus, Grafana * Experience with ...

next page

Showing results 1-20

All JobsFlink JobsFlink Jobs in Colorado

Flink information

See Colorado salary details

$10

$60

$89

How much do flink jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for flink in Colorado is $60.73, according to ZipRecruiter salary data. Most workers in this role earn between $51.06 and $70.77 per hour, depending on experience, location, and employer.

What are Flink jobs?

Flink jobs are user-defined programs that run on Apache Flink, an open-source stream processing framework. These jobs process data in real-time or in batches, allowing organizations to analyze, transform, or aggregate large volumes of data efficiently. Flink jobs are written in languages like Java, Scala, or Python and can be used for a variety of applications such as event-driven analytics, real-time monitoring, and data pipeline processing. They can be deployed on clusters to handle large-scale data processing with low latency and high throughput.

How to start a Flink job?

To start a Flink job, you need to package your application as a JAR file and submit it to a Flink cluster using the command line interface, typically with the 'flink run' command. Ensure your environment is set up with Java and Flink installed, and that your job code is properly configured for the cluster environment. Monitoring and debugging can be done through Flink's web dashboard or logs.

What is the difference between Flink vs Kafka Streams?

AspectFlinkKafka Streams
Primary UseDistributed stream processing framework for large-scale data processingClient library for real-time stream processing within Kafka
Deployment EnvironmentCluster-based, supports standalone and cloud deploymentsEmbedded within Java applications, runs on client machines
ComplexityRequires setup of cluster and infrastructureSimpler to integrate with existing Kafka setup
Use CasesComplex event processing, large-scale analyticsReal-time data transformation, lightweight processing

Flink and Kafka Streams are both popular stream processing tools, but Flink is suited for large-scale, complex processing across clusters, while Kafka Streams is ideal for lightweight, real-time processing within Kafka environments. Your choice depends on processing complexity and deployment needs.

What are some common challenges faced by Apache Flink developers and how can they be overcome?

Apache Flink developers often encounter challenges such as handling stateful stream processing at scale, ensuring low-latency data flows, and managing the complexities of distributed systems. Addressing these issues typically involves careful job design, leveraging Flink's checkpointing and state management features, and optimizing resource allocation. Collaborating closely with DevOps and data engineering teams can also help in troubleshooting deployment and performance bottlenecks, ensuring smooth operation in production environments.

What is a Flink job?

A Flink job is a program written using Apache Flink, an open-source framework for distributed stream and batch data processing. It involves defining data sources, transformations, and sinks to process large-scale data in real-time or batch mode, often requiring knowledge of Java or Scala and familiarity with Flink's APIs and environment.

What are the key skills and qualifications needed to thrive as an Apache Flink developer?

To thrive as an Apache Flink Developer, you need strong programming skills (typically in Java or Scala), a solid understanding of distributed systems, and experience with real-time data processing frameworks, preferably backed by a relevant degree in computer science or engineering. Familiarity with Flink’s APIs, stream processing concepts, and integration with tools like Kafka, Hadoop, or AWS, as well as certifications in big data technologies, are highly valuable. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with teams and troubleshooting complex data workflows. These skills are crucial for building scalable, reliable, and efficient data pipelines that drive real-time analytics and business decisions.

What does Flink do?

A Flink job involves developing and maintaining real-time data processing applications using Apache Flink, an open-source stream processing framework. It requires skills in Java or Scala, understanding of distributed systems, and familiarity with data streaming concepts to efficiently process large-scale data in real-time environments.
What are popular job titles related to Flink jobs in Colorado? For Flink jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Flink jobs in Colorado look for? The top searched job categories for Flink jobs in Colorado are:
What cities in Colorado are hiring for Flink jobs? Cities in Colorado with the most Flink job openings:
Flink jobs near you
Infographic showing various Flink job openings in Colorado as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $126,317 per year, or $60.7 per hour.

Principal Data Engineer

Overwatch Agriculture

Boulder, CO • On-site

$120K - $165K/yr

Full-time

Re-posted 10 days ago

Job description

As a Principal Data Engineer, you will lead a team in building and maintaining scalable, reliable data pipelines that bridge on-premises and cloud environments. You'll leverage your expertise in data engineering, streaming technologies, and leadership to drive the team towards achieving business objectives.

Key Responsibilities:

  • Team Leadership: Lead, mentor, and manage a team of data engineers specializing in streaming technologies.

  • Data Pipeline Development: Design and implement high-throughput, low-latency streaming data pipelines using Apache Kafka, ensuring integration with cloud services (e.g., BigQuery, Looker).

  • Data Analytics: Oversee the development of stream processing applications using Apache Spark or Apache Flink, and implement real-time data transformations and analytics using KSQL.

  • Data Storage: Design and maintain scalable data storage solutions with ClickHouse for fast analytics on streaming data.

  • ETL Processes: Lead the design and implementation of ETL processes, extracting, transforming, and loading data into a data warehouse.

  • Data Quality: Ensure data integrity, consistency, and accuracy through robust data quality assurance.

  • Optimization: Optimize performance and implement best practices in data engineering, covering data quality, security, and efficiency.

  • Collaboration: Collaborate with stakeholders to gather requirements and align data strategies with business objectives.

  • Technology Updates: Stay current with emerging technologies in streaming and cloud environments, evaluating their potential application.

Qualifications:

  • 5+ years of hands-on data engineering experience with Python, Scala, or Java

  • 3+ years of experience with cloud vendors (AWS, Azure, GCP), data warehouse services (e.g., Redshift, Databricks), and cloud storage

  • Expertise in KSQL, ClickHouse, ETL/ELT tools (e.g., Airflow, ADF, Glue, NiFi), and orchestration

  • Proficiency in code versioning (Git) and CI/CD pipelines

  • Experience with stream processing tools (Apache Kafka, Apache Flink, Apache Spark Structured Streaming)

  • Strong understanding of data modeling, optimization techniques, and stream processing patterns

  • Excellent leadership and mentorship skills with at least 2 years in a leadership role

Nice to Have:

  • Experience with NoSQL databases, Kafka Connect, Kafka Streams, Superset for data visualization

  • Knowledge of integrating real-time machine learning models into streaming environments

  • Expertise with monitoring and observability tools for streaming systems

Why Join Overwatch Agriculture?

At Overwatch Agriculture, we prioritize people over processes, fostering a supportive and tech-savvy environment. Our customized benefits prioritize your well-being and professional growth, making this an ideal opportunity for tech enthusiasts.