> Markdown version of [/jobs/ext/4256418-data-engineer](https://www.wearedevelopers.com/jobs/ext/4256418-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:** Greenwood Village, CO, United States
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Computer Programming, Databases, Extract Transform Load (ETL), Fraud Prevention and Detection, Python (Programming Language), NoSQL, SQL Databases, Apache Spark, AWS Lambda, Servicebus, Pyspark, Information Technology, Integration Frameworks, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 5, 2026
- **Apply:** https://www.dice.com/job-detail/5e202ed8-304d-4be3-8f63-765d86930b2b

## About the Role

* Senior-level experience as a Data Engineer.
 * Strong programming skills in Python and Scala. Candidates with strong Python and a willingness to learn Scala will be considered.
 * Proficiency with PySpark and/or Spark.
 * Strong understanding of database systems (e.g., SQL, NoSQL) and data processing frameworks like Databricks.
 * Familiarity with cloud platforms such as AWS and related services (e.g., AWS Lambda, S3, EC2, EventBridge, Athena).

Preferred Qualifications

 * Proficiency with data orchestration tools like Airflow or AWS Step Functions.

## Description

This role is responsible for building pipelines and maintaining the infrastructure that allows large-scale processing and storage of data for data scientists to generate insights, build predictive models, and inform business decisions. The successful candidate will support key efforts in internet reliability programs and proactive campaigns for network upgrade initiatives. This position will involve splitting time between two data science projects focusing on an internal experimentation/A/B testing platform and various fraud prevention initiatives., * Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

 * Write and schedule jobs to ingest data from different sources.
 * Ensure data quality and reliability by monitoring pipelines, validating schema changes, and setting up alerts for data anomalies.
 * Optimize complex queries and data transformations for performance and cost efficiency.
 * Collaborate with data scientists to gather requirements and validate output from jobs.
 * Work closely with the MLOps team to support infrastructure and tooling changes.
 * Deliver work at a steady, predictable pace to achieve commitments, release complete solutions in small batches, and identify and negotiate important tradeoffs.