Remote Federal Data Science and Cloud Architect

DLH; United States; Remote; USD 180,000 - 190,000; Full time

Benefits offered by this job

PTO

Medical benefits

401(k) with match

Training and certification support

Job summary

DLH is seeking a data engineering lead for a federal healthcare enterprise environment, focusing on cloud architecture, data interoperability, and security engineering for the SCHARE platform and related data environments. You will configure secure cloud, metadata architecture, system integration, API enablement, and ensure compliance with agency cybersecurity and information management regulations.

Collaborate with scientists, IT operations, and stakeholders; design tools for data collection,

Qualifications

• Bachelor’s degree in data science, bioinformatics, or related field; 12+ years IT experience.
• 4+ years leading or performing data engineering or related functions.
• Strong problem decomposition skills and experience manipulating big data.
• Experience working in Agile teams and strong communication skills.

Responsibilities

• Lead data science strategy in support of custom data platform.
• Collaborate with scientists and trainees.
• Support a federal healthcare enterprise environment by collaborating with IT operational service areas in design, development, and testing of solutions.
• Communicate findings, recommendations, and solutions to technical and non-technical stakeholders.
• Design tools for optimizing data collection, validation, and analysis.

Skills

Python

R

MATLAB

Predictive modeling

Pattern recognition

Data mining

Statistics

Big data

Agile

Communication skills

Public Trust clearance

Education

Bachelor’s degree in data science, bioinformatics, or related field

Job description

DLH is seeking a data engineering lead for a federal healthcare enterprise environment, focusing on cloud architecture, data interoperability, and security engineering for the SCHARE platform and related data environments. You will configure secure cloud, metadata architecture, system integration, API enablement, and ensure compliance with agency cybersecurity and information management regulations.

Collaborate with scientists, IT operations, and stakeholders; design tools for data collection,