Data Science and Data Engineering Jobs


Data Science | Big Data / Data Engineering | Machine Learning / AI / Computer Vision | Data Analytics | Database

 

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Data Recruiting Expertise

Motion teams dedicated to Data recruiting deeply understand this tech sector and — more importantly — deeply penetrate their local marketplace to create rich and relevant networks with a focus on the following disciplines:

Data Categories

Data Science

Python, R, SQL

Big Data / Data Engineering

Spark, Hadoop, MapReduce, Hive, Pig, Kafka

Machine Learning / AI / Computer Vision

TensorFlow, Caffe, Keras, Theano, PyTorch, Scikit-learn, OpenCV, MATLAB, CUDA, PCL, Dlib

Data Analytics

Business Intelligence, Data Visualization, ETL, Data Warehousing

Database

NoSQL, MySQL, PostgreSQL, SQL, Oracle

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Technical Skill(s)

  • .Net
  • Android
  • Business Analyst
  • Business Intelligence
  • C#
  • C++
  • Cloud Computing
  • Computer Vision
  • Data Engineering
  • Data Science
  • Data Warehouse
  • DevOps
  • DBA
  • DevOps
  • Electrical Engineering
  • Embedded
  • Front End
  • Golang
  • Help Desk
  • HTML/CSS
  • iOS
  • Java
  • Javascript
  • Linux/Unix
  • Machine Learning
  • Management
  • Mechanical Engineering
  • Mobile
  • MySQL
  • Network Engineering
  • Network Security
  • Node.js
  • Non Technology
  • NoSQL
  • Oracle
  • Perl
  • PHP
  • Postgres
  • Product Management
  • Project Management
  • Python
  • QA
  • Robotics
  • Ruby on Rails
  • Sales Engineering
  • Scala
  • SDET
  • Security - Application
  • Security - Cloud
  • Security - Database
  • Security - Infrastructure
  • Security - Network
  • Security - Pen Test
  • SharePoint
  • Software
  • Software Engineering
  • SQL Server
  • System Administration
  • Technology
  • UI Design
  • UI/UX
  • UX
  • Visual Design
  • Virtualization
  • Windows
  • Wordpress
  • Z.Skills
  • Other Area(s)

Employment Type(s)

  • Contract
  • Full Time

National Market Insights for Data Recruiting

Recruitment trends are the backbone of how we work. Our teams research and share local marketplace intel as part of our everyday routine and data-driven approach to produce results.

Data Scientist

7:1

Open Jobs per Candidate

Data Warehouse Engineer

92%

Annual Change in Market Demand

Data Architect

$163K

Average Salary

ML Engineers

SEA

Top Employing Geography

One of the major trends we are seeing within the data engineering marketplace is the emphasis on experience with scalability. Not only do employers want to see this contextual litmus test of scalability within a new hire’s skill set, candidates also are seeking out this key attribute in the roles they want most. Real-time consumption of data specifically is the goal, and strategies like live vs. batch streaming are dependent upon highly intelligent data teams.

You have to be careful when recruiting for data engineers or it simply ends up being a hunt for buzzwords — Hadoop, Spark, MapReduce, Kafka, etc. More often than not, this fails to net a match. It’s never just WHAT data technology is being used, but rather HOW (batch processing, data streaming), WHY (visualization, real-time analytics, BI reporting), and WHERE (third parties, internal metrics, user metadata) it’s used that unlocks the true set of capabilities and value of a candidate.