A hybrid role at SteerBridge. Design and implement scalable data architectures and data models
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Original listing text, shown exactly as published by the company.
Design and implement scalable data architectures and data models
Develop and optimize ETL/ELT pipelines supporting analytics and reporting initiatives
Build and maintain cloud-based data platforms and warehousing solutions
Support data integration across multiple structured and unstructured data sources
Collaborate with data scientists, engineers, and stakeholders to support machine learning and analytics initiatives
Implement data governance, security, and quality standards
Monitor and optimize database performance, scalability, and reliability
Support modernization efforts and migration of legacy data environments
U.S. Citizenship required
Bachelor's degree in Computer Science, Systems Engineering, Data Science, or related field
Active security clearance or ability to obtain one
3+ years of experience in data architecture, data engineering, or data warehousing
Python
SQL
Pandas
PySpark
NumPy
Git
Databricks
Redshift
BigQuery
Apache Hive
Experience developing and automating large-scale data environments
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn is a plus
Experience designing conceptual, logical, and physical data models
Experience with cloud platforms including AWS, Azure, or GCP
Knowledge of modern data lake and data warehouse architectures
Experience with Apache Kafka, Airflow, Spark, NiFi, or similar technologies
Understanding of big data ecosystems and distributed computing frameworks
Experience supporting AI/ML workflows and analytics platforms
Knowledge of data governance, security, and compliance best practices…
SteerBridge
Other
11 open roles on Sydicom
SteerBridge is a federal government contractor specializing in professional services. The company provides financial management, information technology, and strategic advisory support to various U.S. government agencies.
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