PMAT REAL ESTATE INVESTMENTS · 1 month ago
Senior Data Engineer (Op AI)
San Diego, CA, US
Full-time
Onsite
Senior Level, Lead/Staff
$185K/yr - $195K/yr
10+ years expPMAT REAL ESTATE INVESTMENTS is an innovative small business focused on developing impactful digital solutions. They are seeking a Senior Data Engineer to design and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges, requiring deep experience in data engineering and distributed systems.
Property DevelopmentProperty ManagementReal EstateReal Estate InvestmentRental
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics
Design, develop, and implement data pipelines and analytics for naval applications
Perform exploratory data analysis, algorithm development, and testing
Normalize and structure data to common standards for interoperability
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC
Develop and deploy data pipelines and analytics in real-world operational environments
Deploy, monitor, and optimize data pipelines to ensure high performance and reliability
Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ
Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark
Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS
Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake
Work with GIS data using ArcGIS, PostGIS, and related tooling
Implement containerized environments using Docker or Kubernetes
Apply cybersecurity principles in the context of secure DoD data applications
Communicate findings and engineering solutions effectively with technical and mission stakeholders
Qualification
Required
At least 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer
Strong programming skills in Python
Programming experience in Go or Rust
Proven experience designing, developing, and deploying complex data pipelines
Familiarity with data formats including CSV, JSON, XML, Parquet, ORC
Familiarity with event streaming technologies: Kafka, AWS Kinesis, RabbitMQ, ZeroMQ
Experience deploying, monitoring, and optimizing operational data pipelines
Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores
Experience with AWS data services (EFS, RDS, S3, SNS, SQS)
Experience with distributed computing: AWS Lambda, DASK, Spark
Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake
Experience integrating and retrieving GIS data (ArcGIS, PostGIS)
Strong analytical and problem-solving skills
Excellent communication skills in a collaborative team environment
Previous experience supporting government agencies or military organizations
Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs
Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions
Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions
Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)
US Citizenship
No dual citizenship
Active DoD TS/SCI clearance required
Preferred
Experience leading data engineering efforts in secure DoD environments
Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs
Experience architecting data solutions across multi-domain or cross-domain systems
Familiarity with MLOps pipelines or AI-enabled analytics workflows
Experience with cloud-native data architecture and API design
Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics
Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract
Company
PMAT REAL ESTATE INVESTMENTS
PMAT Real Estate Companies is a fully integrated, Private Equity Retail Shopping Center Development Company based out of New Orleans, LA PMAT Real Estate is a Value-Add Shopping Center Developer that primarily focuses on Suburban Open Air Retail targeting the Southeast, Mid-West, Mid-Atlantic, and Sunbelt regions.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase