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# Data Engineer 5

- **Company:** Everforth Apex
- **Location:** Beaverton, OR, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Unit Testing, Big Data, Continuous Integration, Data Stores, Data Warehousing, Distributed Computing Environment, Amazon DynamoDB, Github, Apache Hadoop, Apache HBase, Apache Hive, Python (Programming Language), Machine Learning, NoSQL, Scrum Methodology, Software Engineering, Software Systems, SQL Databases, Data Streaming, Workflow Management Systems, Circleci, Data Processing, Large Language Models, Snowflake, Apache Spark, Analytic Functions, Cloudformation, Integration Tests, Information Technology, Complex Event Processing, Build Tools, Bitbucket, Restful APIs, Terraform, Software Version Control, Jenkins, Databricks
- **Published:** November 8, 2026
- **Apply:** https://www.dice.com/job-detail/afcaadb2-4dfe-4f6c-8202-0585917e5e23

## About the Role

Education: Bachelor's degree in Computer Science or a related technical discipline.

Experience: Minimum of 10 years of experience in large-scale software development, including at least 5 years of dedicated big data experience.

Technical Skills: Proven proficiency in programming languages (Python or Scala preferred) and experience working with Hadoop and related processing frameworks such as Spark or Hive. Experience with messaging, streaming, and complex event processing tooling is required, alongside data warehousing concepts, SQL, and analytical functions. Competency in workflow orchestration tools like Apache Airflow, source code control tools like Github or Bitbucket, and experience in Agile/Scrum application development are necessary. Candidates must demonstrate experience working with AI, machine learning, and delivering LLM-based Databricks applications.

Preferred Qualifications

 * Experience with Java, public cloud environments (particularly AWS and Databricks), and cloud warehouse tools like Snowflake.
 * Experience working with NoSQL data stores such as HBase or DynamoDB, building RESTful APIs to enable data consumption, and utilizing build tools like Terraform, CloudFormation, Jenkins, or Circle CI.
 * A strong desire to work collaboratively with teammates to devise optimal solutions in a fast-paced, agile environment, paired with excellent problem-solving abilities.

## Description

An experienced Data Engineer is required to support critical data and analytics initiatives. This position involves collaborating with multiple stakeholders to design, develop, and optimize large-scale software solutions. The successful candidate will bring deep technical expertise to a dynamic team environment, operating on-site from Monday through Thursday with remote flexibility on Fridays during standard business hours., * Contribute to the design and implementation of data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology.

 * Contribute to the overall architecture, frameworks, and patterns for processing and storing large data volumes.
 * Contribute to the evaluation of new technologies, tools, and frameworks centered around high-volume data processing.
 * Translate product backlog items into logical units of work in engineering.
 * Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem.
 * Build utilities, user-defined functions, libraries, and frameworks to better enable data flow patterns.
 * Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed.
 * Build and incorporate automated unit tests and participate in integration testing efforts.
 * Utilize and advance continuous integration and deployment frameworks.
 * Troubleshoot data issues and perform root cause analysis.
 * Work across teams to resolve operational and performance issues.