Data Scientist - Geospatial Data

DataJobs

Alexandria (VA)

On-site

USD 115,000 - 145,000

Full time

3 days ago

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Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Flexible spending account

Health insurance

Health savings account

Life insurance

Paid time off

Parental leave

Professional development assistance

Retirement plan

Tuition reimbursement

Vision insurance

Job summary

DataJobs in Alexandria, VA seeks a data pipeline engineer to build geospatial ETL for sensor feeds onsite. You will stand up pipelines, maintain ETL processes, and implement health alerting while ensuring governance and schema compliance with government requirements.

The role emphasizes API-driven workflows, cross-domain collaboration with senior engineers, and processing diverse data formats at scale. A Bachelor's degree and TS/SCI clearance are required.

Qualifications

2+ years of production experience with SQL or NoSQL databases.
Proficiency in Python (or JavaScript or Java) and scripting for processing real data at volume.
Track record building and sustaining operational data pipelines across multiple data formats and interfaces.
Strong written and verbal communication to explain pipeline constraints to analysts and government stakeholders.

Responsibilities

Stand up pipelines for incoming sensor data, including support for database tables and schemas.
Create and maintain ETL processes for emergent sensor data.
Implement data health alerting to detect issues before downstream analysts are impacted.
Develop API-driven workflows to move sensor data across systems and security domains, collaborating with senior engineers.
Ensure sensor data meets government-directed schemas, formats, and governance requirements.
Assess differences in incoming sensor metadata, format, and structure, and determine impacts to existing pipelines.
Pre-process and standardize data to support labeling and model testing.
Perform geospatial imagery transformations, including chipping full-scene imagery and orthorectifying.

Skills

SQL

NoSQL

Python

JavaScript

Java

Education

Bachelor's degree

Job description

Build and operationalize geospatial data pipelines for new sensor feeds in an onsite role in Alexandria, VA.

Responsibilities

Stand up pipelines for incoming sensor data, including support for database tables and schemas
Create and maintain ETL processes for emergent sensor data
Implement data health alerting to detect issues before downstream analysts are impacted
Develop API-driven workflows to move sensor data across systems and security domains, collaborating with senior engineers on cross-domain components
Ensure sensor data meets government-directed schemas, formats, and governance requirements
Assess differences in incoming sensor metadata, format, and structure, and determine impacts to existing pipelines
Pre-process and standardize data to support labeling and model testing
Perform geospatial imagery transformations, including chipping full-scene imagery and orthorectifying, plus converting formats

Requirements

2+ years of production experience with SQL or NoSQL databases
Proficiency in Python (or JavaScript or Java) and comfort scripting to process real data at volume
Track record building and sustaining operational data pipelines across multiple data formats and interfaces
Strong written and verbal communication to explain pipeline constraints to analysts and government stakeholders
Bachelor's degree in a related field; additional experience may be considered in lieu
TS/SCI clearance
Active TS/SCI clearance with ability to obtain a polygraph