Data Engineer - W2 - Contract - Hybrid - Direct ClientSMBCADJP00000770 jobs in United States
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Jobs via Dice ยท 2 days ago

Data Engineer - W2 - Contract - Hybrid - Direct ClientSMBCADJP00000770

Jobs via Dice is seeking a Software Engineer, Data for their client SANS. The Software Engineer will be responsible for designing, developing, and maintaining robust data solutions that enable efficient storage, processing, and analysis of large-scale datasets, collaborating closely with cross-functional teams to support strategic decision-making.

Computer Software

Responsibilities

Design and implement scalable, reliable, and secure data solutions
Proficient in SQL and data modeling concepts
Develop data models and schemas optimized for performance and maintainability
Build and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Optimize data workflows for efficiency and cost-effectiveness
Collaborate closely with data analysts and business teams to understand their requirements
Build frameworks for data ingestion pipelines that handle various data sources, including batch and real-time data
Participate in technical decision-making
Design, develop, test, deploy, and maintain data processing pipelines
Design and build scalable, reliable infrastructure with a strong focus on quality, security, and privacy techniques
Communicate complex technical concepts effectively to diverse audiences
Understand business KPIs and translate them into technical solutions
Create detailed technical documentation covering processes, frameworks, best practices, and operational support
Provide constructive feedback during code reviews

Qualification

PythonSQLData pipeline frameworksCloud platformsData modelingAnalytical skillsCommunication skills

Required

Bachelor's degree in Computer Science, Computer Engineering, or Information Systems Technology
5+ years of overall experience in software development using Python
Strong experience with SQL and database technologies (Relational and NoSQL)
Hands-on experience with data pipeline frameworks (e.g., Apache Spark, Airflow, Kafka)
Familiarity with cloud platforms (Google Cloud Platform) and data services
Knowledge of data modeling, ETL/ELT processes, and performance optimization
Strong analytical and communication skills: verbal and written

Company

Jobs via Dice

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Funding

Current Stage
Early Stage
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