Software Database Engineer
Experis
Redmond, WA, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$88,483.0 - $109,138.0
Working hours
Regular working hours
Job source
Tech stack
Microsoft Azure
Big Data
Databases
Information Engineering
Data Integrity
Extract Transform Load (ETL)
Data Systems
Kusto Query Language
SQL Databases
Parquet
Data Processing
Azure Data Factory
+4 more
Apache Spark
Data Lakes
Azure Synapse Analytics
Data Pipelines
Job description
- Design, develop, and optimize scalable data pipelines and ETL processes using modern tools like Databricks, Azure Data Factory, and Azure Synapse Analytics.
- Build and maintain large-scale Lakehouse and data warehouse systems for real-time and batch data processing.
- Collaborate with business, design, testing, and development teams to shape data collection and usage strategies.
- Implement data quality and governance standards to ensure high data integrity and security.
- Support the development of state-of-the-art data models to facilitate data-driven decision-making across the organization.
Requirements
Our client, a leading technology organization, is seeking a Software Database Engineer 2 to join their team. As a Software Database Engineer 2, you will be part of the Data Engineering department supporting data pipeline and analytics teams. The ideal candidate will have strong analytical skills, excellent communication, and a proactive mindset, which will align successfully in the organization., * 5+ years of experience with SQL and scalable ETL process design and implementation.
- 3+ years of experience working with Big Data Analytics, including Data Lake, Spark, and formats like Parquet.
- 2+ years of experience building cloud-hosted data systems, with a preference for Azure.
- Proficiency in Azure Data Factory, Synapse Analytics, and Spark.
- Experience working with delta lake format and Azure Data Explorer/Kusto is a plus.
Benefits & conditions
- Opportunity to work on cutting-edge data technologies and large-scale analytics systems.
- Collaborate with innovative teams in a dynamic environment.
- Enhance your skills with modern data engineering practices and cloud platforms.
- Contribute to impactful projects that influence business decisions.
- Enjoy a supportive and inclusive work culture that values diversity and professional growth.
Upon completion of waiting period consultants are eligible for:
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
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