Posted today
Intel Agency (NSA, CIA, FBI, etc)
Senior Level Career (10+ yrs experience)
Unspecified
Full Scope Polygraph
IT - Software
Falls Church, VA (On-Site/Office)
Candidates must already possess an active Top Secret/SCI w. Full Scope Polygraph to be considered for this position.
Summary:
Provide data engineering support. Design and build data infrastructure, develop data pipelines, transform and prepare data, ensure data quality and security, and monitor and optimize systems. Requires Python, AWS, SQL, PostgreSQL, MySQL, NiFi, Git, Elasticsearch, Kibana, Human Language Processing, Machine Learning/Artificial Intelligence, and Data Visualization.
Qualifications & Compensation:
The candidate MUST have experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems.
The candidate MUST have extensive experience with Python and AWS.
Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi)
Annual compensation: Starting at $270,000, based on experience level
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:
Provide data engineering support. Design and build data infrastructure, develop data pipelines, transform and prepare data, ensure data quality and security, and monitor and optimize systems. Requires Python, AWS, SQL, PostgreSQL, MySQL, NiFi, Git, Elasticsearch, Kibana, Human Language Processing, Machine Learning/Artificial Intelligence, and Data Visualization.
Qualifications & Compensation:
The candidate MUST have experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems.
The candidate MUST have extensive experience with Python and AWS.
Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi)
Annual compensation: Starting at $270,000, based on experience level
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