Data Engineer

United States · Remotefull time

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Remote

mid

H1B: no

Base Operations The Data Engineer at Base Operations builds and maintains ETL pipelines, data warehouses, and data quality frameworks to support analytics and reporting. The role involves working with structured and unstructured data, integrating ML models, and contributing to data architecture strategy.

Responsibilities

Build, test, and maintain robust ETL pipelines for structured and unstructured data sources, including integration with ML models for data enrichment, with focus on production stability, performance optimization, and incident resolution
Develop data transformation, validation, and quality monitoring processes to ensure reliable and actionable data
Design and implement data warehouse solutions and data models to support analytics and reporting needs
Establish data quality frameworks with monitoring, alerting, and remediation processes
Contribute to overall data architecture decisions and lead implementation of data platform improvements
Required Experience
3+ years experience building production data pipelines and working with modern data stack tools
3+ years implementing and maintaining data warehouses and dimensional data models
Strong SQL skills and experience with data modeling best practices
Proficiency in Python for data engineering tasks
Experience with workflow orchestration and automation tools
Experience implementing data quality and governance practices

Qualification

Experience working with geospatial dataWorking with large-scale datasetsExperience with web scrapingFamiliarity with JavaScriptIn compliance with federal law

Required

3+ years experience building production data pipelines and working with modern data stack tools
3+ years implementing and maintaining data warehouses and dimensional data models
Strong SQL skills and experience with data modeling best practices
Proficiency in Python for data engineering tasks
Experience with workflow orchestration and automation tools
Experience implementing data quality and governance practices

Preferred

Experience working with geospatial data
Working with large-scale datasets
Experience with web scraping
Understanding of ML and AI based infrastructure
Familiarity with JavaScript
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
Base Operations champions diversity - we welcome and employ people regardless of race, color, ancestry, religion, gender, gender identity, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We are proud to be an equal opportunity employer.

Company

Base Operations

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Source: ashby

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Must-Have Skills for This Role

ETL pipelinesdata warehousesdata modelingSQLPythonworkflow orchestration

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