WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Data Manager - Senior (KP) Job#818

Allen Integrated Solutions
Washington, DC, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
indeed.com

Tech stack

Geographic Information Systems Agile Methodology Artificial Intelligence Data Analysis Databases Extract Transform Load (ETL) Geospatial Intelligence Machine Learning Data Processing Cloud Platform System Machine Learning Operations Data Pipelines

Requirements

Do you have experience in Technology management?, * 3+ years of experience with people management experience and excellent communication and keen problem-solving skills. Extensive technical project management experience, independently initiating and driving projects to completion, and experience solving strategic problems.

  • 4+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights. Experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies. Experience managing databases and data pipelines and working with cloud architectures.
  • 2+ years of experience working with large, complex geospatial data files and formats
  • Desired: Experience using Agile/SAFe methodologies; experience with NGA enterprise technology systems, such as NGA CORE and MLOps; GEOINT Professional Certification - Fundamentals (F); experience working with AI/ML technologies applied to geospatial data.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · WWC 2024

2:56 min

Introduction of panelists and their roles in AI engineering

Damandeep Kochhar Damandeep Kochhar +4 · WWC Europe 2026

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · WWC 2022

Videos

See all
Data Science in Retail thumbnail
58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

Empowering Retail Through Applied Machine Learning thumbnail
22:41
WWC 2024 • almost 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
WWC 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
WWC 2024 • almost 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner thumbnail
32:32
over 1 year ago

Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner

Katja Träumner

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
WWC 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Related articles

See all