Senior Data Engineer
We’re looking for a remote Senior Data Engineer to help build and scale a modern data platform supporting analytics, reporting, and data-driven decision making.
This is a great opportunity to work with Databricks, Spark, and cloud-based data technologies while solving complex data challenges and building high-performance pipelines.
What You’ll Be Doing
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Designing and building scalable ETL/ELT data pipelines
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Developing workflows using Python and PySpark
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Building and optimizing solutions within Databricks and Apache Spark
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Integrating data from multiple sources including APIs, databases, and flat files
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Supporting data warehousing environments with advanced SQL
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Orchestrating workflows using Azure Data Factory
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Managing large-scale data processing in a cloud environment (AWS, Azure, or GCP)
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Ensuring strong data governance, security, and compliance practices
What We’re Looking For
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Strong hands-on experience with Databricks and Spark (PySpark preferred)
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Experience building and maintaining data pipelines using Python
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Advanced SQL and data warehousing experience
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Experience working with cloud data platforms (AWS, Azure, or GCP)
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Knowledge of big data processing and data integration
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Experience configuring secure connections to external systems
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Familiarity with data governance, security, and compliance frameworks
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Proven experience using Azure Data Factory (ADF)
Why Join?
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Work with modern data engineering technologies
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Solve large-scale data challenges
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Be part of a collaborative and forward-thinking data team
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100% remote
Interested?
Apply now or reach out directly to learn more.
