Azure Data Engineer jobs in United States
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Scalence L.L.C. · 1 week ago

Azure Data Engineer

Scalence L.L.C. is seeking a skilled professional to join their dynamic team to design, build, and maintain scalable data pipelines and architectures on the Azure cloud platform. The successful candidate will work closely with data scientists, analysts, and business stakeholders to deliver high-quality, performant data solutions that enable data-driven decision-making.

Information Technology & Services
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Responsibilities

Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads
Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB
Write efficient, reusable, and maintainable code primarily in Python and SQL to transform and load data across various systems
Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing

Qualification

Azure Data servicesPythonSQLPostgresMongoDBPySparkDatabricksSnowflakeData governanceCollaboration skills

Required

Applicants must be able to work directly for Artech on W2
Proficient in data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake
Experience designing, developing, and optimizing end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks
Strong collaboration skills with cross-functional teams to gather requirements and deliver data solutions

Preferred

Experience with monitoring data pipeline performance and implementing improvements
Knowledge of data quality, governance, and compliance best practices
Experience troubleshooting and resolving data-related issues

Benefits

Comprehensive benefits package including health, dental, and vision insurance
Opportunities for professional growth and development
A diverse and inclusive work environment that values collaboration and innovation

Company

Scalence L.L.C.

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In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.

Funding

Current Stage
Late Stage
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