Data Science and Data Engineering Jobs

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

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.

Scott 9 Years at Motion

Recruitment Expert in Data

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.

Phil 10 Years at Motion

Recruitment Expert in Data

Additional Resources

Future of Data & Machine Learning

AI & ML models are built on historical data, but due to global shifts in today’s market, these models may be making predications based on previously unseen conditions. Watch Tech in Motion’s panel of experts discuss what tech leaders need to keep in mind during this ever-evolving climate.

WATCH NOW

Data Science & ML: Expert Interview

With the need for Data Science and ML professionals up by 50% across several industries in 2020, we sat down with VP of Data Science, Lacey Plache, to discuss how the two teams can best integrate together.

READ NOW

Case Study: Finding Big Data Engineers

See how we helped a Fortune 500 Banking Company find Senior Big Data Engineers, Senior Java Engineers and Scala Engineers near Washington, D.C.

LEARN MORE