Clarity Innovations

Data Engineer

MacDill AFB, FLmidAdded today

About this role

Clarity Innovations seeks a Data Engineer to support U.S. Special Operations Command (SOCOM) at MacDill AFB, focusing on data governance and modernization. You'll design and maintain data pipelines, optimize databases, and integrate complex data sources to enhance SOCOM's operational capability and intelligence delivery.

What you'll do

Develop and maintain ETL infrastructure to extract, transform, and load data from multiple structured and unstructured sources
Design and optimize data pipeline architecture using SQL, NoSQL, and big data frameworks (Spark, Hadoop, Kafka, Hive)
Build complex queries and manage NoSQL and big data infrastructure for performance optimization
Administer cloud computing environments and CI/CD pipelines on Azure, AWS, and Google Cloud
Apply distributed systems concepts including fault-tolerance, consistency, and consensus algorithms
Collaborate with product, data, and design teams to address data infrastructure needs and technical issues

What they're looking for

SQL and NoSQL database design (MongoDB, Cassandra, Neo4j, GraphDB, OrientDB)
Big data frameworks (Spark, Hadoop, Kafka, Hive, Pig, HDInsight)
Multiple programming languages for data integration and pipeline development
Cloud platforms (Azure, AWS, Google Cloud) and CI/CD pipeline administration
API development and integration
Distributed systems design and principles
UML modeling and Agile development
Git version control

Benefits

Mission-focused role supporting national security operations
Work with cutting-edge data modernization technologies
Embedded position at major DoD command (SOCOM)
Opportunity to impact critical intelligence and operational missions
People-focused employer committed to career growth

Likely interview questions

Describe your experience designing and optimizing ETL pipelines for large-scale data integration across multiple sources.
How have you applied distributed systems concepts like fault-tolerance and consistency in your previous data engineering work?

Tell us about a complex data infrastructure challenge you solved and the trade-offs you considered between SQL and NoSQL solutions.
What experience do you have with cloud CI/CD pipelines, and which platforms have you worked with?
How do you approach performance optimization when working with NoSQL and big data frameworks?
Describe your familiarity with DoD environments or government contracting, if any.
How would you prioritize between data pipeline speed, reliability, and cost efficiency in a resource-constrained environment?

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