> Markdown version of [/jobs/ext/251879-data-engineer](https://www.wearedevelopers.com/jobs/ext/251879-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).

---

# Data Engineer

- **Company:** Everforth Apex
- **Location:** Bellevue, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $156,000.0 - $176,800.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Cloud Database, Information Engineering, Data Files, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Dataspaces, Data Systems, Software Debugging, Distributed Systems, Apache Hadoop, Identity and Access Management, Python (Programming Language), Standard Sql, SQL Databases, Workflow Management Systems, AWS Cdk, Apache Spark, Electronic Medical Records, Information Technology, Functional Programming, Cloudwatch, Data Pipelines
- **Published:** May 19, 2026
- **Apply:** https://www.dice.com/job-detail/e9d5f9b2-9c98-4e6e-8ce5-6f615dfabbd7

## About the Role

* 3-7+ years of experience in Data Engineering (level flexible based on candidate)
 * Strong experience with:
 + SQL (advanced proficiency)
 + Python (or similar language)
 + ETL pipeline development and data modeling
 * Hands-on experience with AWS data ecosystem (S3, Glue, Redshift, Lambda, etc.)
 * Experience working with large, complex data sets and distributed systems
 * Strong problem-solving and debugging capabilities
 * Ability to communicate effectively with both technical and non-technical stakeholders, * Experience with:
 + AWS CDK / Infrastructure as Code (strong plus for this role)
 + Workflow orchestration tools (Airflow, Step Functions, etc.)
 + Big data technologies (Spark, EMR, Hadoop)
 * Experience supporting data transformation and analytics environments
 * Familiarity with Agile development methodologies, * Strong AWS-focused data engineering background
 * Comfortable owning pipelines end-to-end (build + troubleshoot)
 * Able to ramp quickly and support knowledge transition
 * Strong communicator with ability to collaborate across teams

## Description

We are seeking a Data Engineer to support ongoing data infrastructure and pipeline development within a high-impact engineering program. This role will focus on building and optimizing scalable ETL pipelines, supporting cloud-based data architecture, and enabling analytics and reporting across cross-functional teams.

This position is critical to maintaining and enhancing existing data systems, while also supporting new development efforts and knowledge transfer from the current resource., * Design, build, and maintain scalable data pipelines and ETL processes across multiple data sources

 * Develop and optimize data workflows using Python and SQL
 * Work within a cloud-first environment leveraging AWS services (S3, Glue, Redshift, Lambda, CloudWatch, IAM)
 * Support infrastructure provisioning and automation using AWS CDK (Infrastructure as Code)
 * Troubleshoot and resolve issues across existing data pipelines, warehousing, and transformation layers
 * Partner with business stakeholders, BI teams, and engineers to define and deliver data requirements
 * Build reliable, maintainable, and extensible data solutions aligned with long-term architecture goals
 * Improve performance, scalability, and efficiency of data systems and processes
 * Document processes and support knowledge transfer during transition


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)