[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Optomi, in partnership with a leading utilities provider, is seeking a Data Engineer to support an analytics modernization initiative. The role focuses on designing, building, and optimizing enterprise data pipelines and curated data layers using Dataiku DSS and Azure data services for financial reporting, capital project analytics, and future safety analytics.
Responsibilities
- Data Platform & Pipeline Engineering
- Enterprise Data Architecture & Enablement
- Data Governance, Security & Quality
- Cross-Functional Collaboration
Skills
- 3–6+ years of experience in data engineering, analytics engineering, or a related field
- Strong hands-on experience with Dataiku DSS, including flows, recipes, scenarios, automation, and governance features
- Proficiency in SQL and Python for data transformation, processing, and workflow automation
- Experience with Azure data services, such as ADLS Gen2, Azure SQL, Azure Data Factory, Synapse, or similar technologies
- Strong understanding of ETL/ELT design, data modeling, and data quality principles
- Experience integrating and transforming data from a variety of enterprise source systems
- Experience supporting or deploying machine learning workflows in Dataiku
- Familiarity with data governance practices and metadata management tools
- Experience working in hybrid on-premises and cloud environments
- Knowledge of Git, CI/CD pipelines, and DevOps concepts
- Experience within the utilities or energy industry is beneficial but not required
Company Overview
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