> Markdown version of [/jobs/ext/3817977-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3817977-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer

- **Company:** Everforth Apex
- **Location:** Beaverton, OR, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Automation of Tests, Unit Testing, Big Data, Computer Programming, Continuous Integration, Data Stores, Data Warehousing, Distributed Computing Environment, Amazon DynamoDB, Github, Apache Hadoop, Apache HBase, Apache Hive, Python (Programming Language), NoSQL, Scrum Methodology, User Defined Functions, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Circleci, Data Processing, 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:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/234dc453-3d89-424d-bc9e-c78ff7d312bb

## About the Role

Bachelor's degree in Computer Science, or related technical discipline

10+ years of experience in large-scale software development, 5+ years of big data experience

Programming experience, Python or Scala preferred.

Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.

Experience with messaging/streaming/complex event processing tooling and frameworks

Experience with data warehousing concepts, SQL and SQL Analytical functions

Experience with workflow orchestration tools like Apache Airflow

Experience with source code control tools like Github or Bitbucket

Ability to communicate effectively, both verbally and written, with team members

Interest in and ability to quickly pick up new languages, technologies, and frameworks

Experience in Agile/Scrum application development

The following skills and experience are also relevant to our overall environment, and nice to have:

Experience with Databricks, and semantic layer development using Metric Views

Experience working in a public cloud environment, particularly AWS, databricks

Experience with cloud warehouse tools like Snowflake

Experience working with NoSQL data stores such as HBase, DynamoDB, etc.

Experience building RESTful API's to enable data consumption

Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI

Experience with practices like Continuous Development, Continuous Integration and Automated Testing

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

Desire to work collaboratively with your teammates to come up with the best solution to a problem

Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment

Excellent problem-solving and interpersonal communication skills

Strong desire to learn and share knowledge with others

## Description

Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology

Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes

Contribute to evaluation of new technologies/tools/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 & performance issues