Job Requirements
Herndon, VA
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• Build data pipelines and ETL workflows using Python, Java, and Bash.
• Utilize Apache Spark for large-scale data processing.
• Manage cloud deployments on AWS using Docker and Terraform.
• Implement data Lakehouse architectures with Apache Iceberg and Trino.
• Integrate AI/ML services, LLMs, and RAG pipelines.
• Perform data visualization and requirements analysis.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 8+ years
• Total Compensation: $320k+ yearly (tentative)
Job Description:
• Build complex data flows for custom applications within a small team.
• Demonstrate advanced Python programming skills and familiarity with Java.
• Apply understanding of data security, privacy, governance, and compliance principles.
• Build production end-to-end data pipelines and ETL workflows at scale leveraging Python.
• Use orchestration tools to deploy data pipelines, including configuring and updating Spark jobs.
• Containerize and deploy applications in cloud environments such as AWS.
• Work with MySQL and PostgreSQL, including performance tuning, schema design, and query optimization for complex analytical workloads.
• Leverage industry-standard tools for code control, such as Git and Infrastructure as Code (IaaC).
• Work with data catalogs, track data lineage, and handle various data formats, including geospatial data.
• Use Bash scripting for automation and data processing tasks.
• Integrate AI/ML services and models.
• Collaborate with stakeholders to understand data requirements, assess feasibility, and design solutions with minimal oversight.
• Utilize strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks.
• Apply experience in large-scale data migration or platform modernization efforts.
• Contribute to data engineering documentation, best practices, and design patterns.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Build data pipelines and ETL workflows using Python, Java, and Bash.
• Utilize Apache Spark for large-scale data processing.
• Manage cloud deployments on AWS using Docker and Terraform.
• Implement data Lakehouse architectures with Apache Iceberg and Trino.
• Integrate AI/ML services, LLMs, and RAG pipelines.
• Perform data visualization and requirements analysis.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 8+ years
• Total Compensation: $320k+ yearly (tentative)
Job Description:
• Build complex data flows for custom applications within a small team.
• Demonstrate advanced Python programming skills and familiarity with Java.
• Apply understanding of data security, privacy, governance, and compliance principles.
• Build production end-to-end data pipelines and ETL workflows at scale leveraging Python.
• Use orchestration tools to deploy data pipelines, including configuring and updating Spark jobs.
• Containerize and deploy applications in cloud environments such as AWS.
• Work with MySQL and PostgreSQL, including performance tuning, schema design, and query optimization for complex analytical workloads.
• Leverage industry-standard tools for code control, such as Git and Infrastructure as Code (IaaC).
• Work with data catalogs, track data lineage, and handle various data formats, including geospatial data.
• Use Bash scripting for automation and data processing tasks.
• Integrate AI/ML services and models.
• Collaborate with stakeholders to understand data requirements, assess feasibility, and design solutions with minimal oversight.
• Utilize strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks.
• Apply experience in large-scale data migration or platform modernization efforts.
• Contribute to data engineering documentation, best practices, and design patterns.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119