Data Engineer

Data Engineer

Altamira delivers a variety of analytic and engineering capabilities to the US National Security community, but the tech culture and the caliber of the individuals that bring these capabilities to fruition are what really set us apart.  Our Dayton, OH office is highly focused on the Space-based mission set with a heavy emphasis on sensor exploitation and analysis; Tampa, FL focuses on ‘art-of-the-possible’ analytics of all kinds with an emphasis on graph technologies, NLP, and wrangling complex data sets; and all forces converge at our headquarters in the Northern Virginia/Washington DC area where we host our tech events and support engineering and analytic missions across several IC and DOD agencies.

While our work occurs in different states and different mission domains, we’ve got analytics at the heart of every operation and genuine curiosity for new methods, techniques, and solutions. Our specialties are data science and analytics, data engineering, software engineering, and end-to-end analytic solutions architecture. We’ve also got some awesome benefits like the Altamira Healthy Living program, with ongoing competitions and a flexible spending stipend for health and wellness-related items. 

Location: Ft Liberty, NC

The Role: An Altamira Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design.

The data engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.

Your skills:

• Develop, maintain, and test infrastructures for data generation to transform data from various structured and unstructured data sources.
• Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure.
• Create and maintain optimal data pipeline architecture.
• Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
• Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration. 
• Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
• Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
• Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
• Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs.

Your quals:

• TS/SCI clearance
• Significant coursework or professional experience in machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics, or similar analytic domain
• Bachelor’s Degree (BS) or higher in similar technical field to above
• Experience delivering software or technical solutions to DOD or IC customers, USAF, JAIC, NRO, NGA, or other intelligence organizations strongly desired
• Familiarity with data visualization software, tools, and techniques is desired