Remote job · IT and software
Senior Data Engineer
In one line: Senior Data Engineer is a remote role in the United States at a company in the analytics and data technology sector.
- Remote (US)
- A company in the analytics and data technology sector
- Posted 12 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job h7owgxrttqAbout the role
Build and maintain data pipelines and datasets that power reporting, visualization, machine learning and decisions across finance, sales, supply chain and marketing.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, United States
- Posted12 Oct 2026
- Last checked18 Oct 2026
What you will do
- Develop scalable pipelines and reusable datasets in a Databricks lakehouse
- Ingest, validate, clean and transform structured and unstructured data with Python, PySpark and SQL
- Build data models and reporting datasets for Tableau and tools such as Spotfire
- Connect existing warehouses and reporting systems to modern cloud analytics platforms
- Improve pipeline reliability, data quality and processing speed
- Set up automated testing, monitoring, documentation and CI/CD
What they look for
- Seven or more years in data engineering, including production pipelines
- Strong SQL and solid grasp of data modeling, database design and warehousing
- Hands-on work with Databricks, Apache Spark and cloud data platforms
- Strong Python and PySpark proficiency
- Experience with ETL/ELT pipelines and integrating multiple source systems
- Experience preparing reliable datasets for Tableau or similar BI tools
Nice to have
- Databricks certification
Questions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
The posting asks for: seven or more years in data engineering, including production pipelines; strong SQL and solid grasp of data modeling, database design and warehousing; hands-on work with Databricks, Apache Spark and cloud data platforms.
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