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# Data Engineer III

- **Company:** BCforward
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $114,400.0 - $130,645.0
- **Contract:** Temporary contract
- **Skills:** Query Performance, Airflow, Big Data, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Mercurial, SQL Databases, Tableau (Software), Workflow Management Systems, Data Logging, Scripting, Apache Spark, Git, Information Technology, Presto, Tools for Reporting, Software Version Control, Data Pipelines
- **Published:** July 31, 2026
- **Apply:** https://www.dice.com/job-detail/e05d3066-bc40-4605-bc78-68f92522a45c

## About the Role

We are seeking a Data Engineer III to join our dynamic team. The ideal candidate will have strong experience in building scalable data pipelines, SQL, and data warehousing and a proven ability to deliver reliable, well-documented data assets that enable analytics and decision-making., * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.

 * 3+ years of experience in data engineering, analytics engineering, or a related role.
 * Strong proficiency in SQL, including Presto, Hive, or SparkSQL.
 * Experience building and maintaining data pipelines with orchestration tools such as Airflow or Dataswarm.
 * Experience with Python or a similar scripting language.
 * Familiarity with data warehousing concepts and dimensional modeling.
 * Strong problem-solving skills and attention to data quality.

Preferred Skills:

 * 5+ years of relevant experience in data engineering.
 * Experience with large-scale data processing frameworks such as Spark or Hadoop.
 * Experience with dashboard and visualization tools such as Tableau or Unidash.
 * Experience with logging infrastructure and instrumentation.
 * Familiarity with version control systems such as Git or Mercurial.
 * Experience working in a fast-paced, cross-functional environment, ideally at a large tech company.

## Description

* Design, build, and maintain scalable ETL/ELT data pipelines using client's internal tools such as Dataswarm and Spark.
 * Build and maintain dashboards and reporting tools using Unidash and internal BI platforms.
 * Partner with Data Scientists and Product teams to validate data quality and ensure metric integrity.
 * Develop and maintain production-grade Hive/Presto tables with documentation and SLAs.
 * Monitor pipeline health, troubleshoot data issues, and implement alerting.
 * Optimize query performance and data models for efficiency at scale.
 * Support ad-hoc data requests and enable self-serve analytics for cross-functional partners.


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