Work With High Performing Data Engineers

Hire Digital matches you to the best data engineers on demand. Our talent have to pass a rigorous screening process at Hire Digital, to work on your most important projects.

Data Engineer
Former data scientist for the Cincinnati Reds.
Pete Melgren is a data scientist with seven years of experience working on end-to-end predictive analytics projects. He has consulted with cross-industry clients on the use of data science concepts such as machine learning, data mining, business intelligence, and predictive analytics to meet their business needs. As a former data scientist for the Cincinnati Reds, he performed in-depth research of advanced baseball physics measures using statistical techniques that include linear regression, linear classification, mixed models, GAM models, and machine learning methods such as XGBoost. Pete also has advanced knowledge of SQL, R, Python, and AWS.View More
Data Science
Machine Learning
Data Mining & Management
Business Intelligence
Predictive Analytics
Data Science Research
Data Analytics
SQL
Python
R
Amazon Web Services
Data Engineer
Former digital data analyst for MYER.
Priya Laxman is a data professional with four years of industry experience specializing in forecasting, predictive modeling, data visualization, data modeling, digital analytics, and supply chain analytics. She was a digital data analyst at MYER, where she analyzed data to uncover insight used to improve the digital customer experience and drive business outcomes. At 460degrees, Priya worked as a data consultant for clients such as VicTrack, Telstra, and DBM Consultants. She is also proficient in tools like Tableau, Google Analytics, Data Studio, BigQuery, Hotjar, SQL, Python, R, Power BI, SAS, Python, Adobe Analytics, and Net Insight.View More
Data Analytics
Data Analysis
Statistical Modeling
Data Management
Data Visualization
Customer Segmentation
Business Analytics
Web Analytics
Business Intelligence
Data Pre-processing
A/B Testing
Google Analytics
Tableau
Google Data Studio
Hotjar
Python
Adobe Analytics
JavaScript
HTML
Data Engineer
Data analysis & business intelligence expert.
As a data scientist, Peter Faase has expertise in solving complicated data problems and working with Big Data to generate useful insights, intelligence, and applications. Combining his strong communication, presentation, and analytical skills, he has created data-driven solutions for organizations by designing and running complex data analyses trajectories using machine learning, predictive analyses, Artificial Intelligence (AI), and other statistical and mathematical techniques. He is skilled with tools such as Python, MySQL, SPSS, and Excel and also familiar with Agile Scrum techniques.View More
Digital Marketing
Data Visualizations
Scrum
Data Mining & Management
Quantitative Analysis
Artificial Intelligence
Big Data
Business Intelligence
Data Science
Machine Learning
MySQL Programming
Python
Market Research
Research
Agile Development
Data Analysis
Consumer Insights
Data Analytics
Tableau
Statistical Model
Data Engineer
Former data analyst at The Madison Square Garden Company.
Heli Shah is a solutions-driven data analyst with over four years of experience in leading cross-functional data in development, documentation, and delivery of process innovations driving the attainment of business goals. Her areas of expertise include statistical analysis, machine learning, data analytics, data visualization, data science research, data reporting, data mining and cleaning, and preparation. At The Madison Square Garden Company, she was responsible for the development and delivery of ad-hoc and scheduled reports and data sourced from the Oracle Fusion Human Capital Management system. Heli also worked as a data analyst at The New School in New York, where she created highly segmented reports and data extracts for development, alumni relations, and other departments throughout the university.View More
Data Analysis
Data Analytics
Data Visualization
Data Reporting
Data Science Research
Data Mining & Management
Data Cleaning
Statistical Analysis
Machine Learning
Tableau
PowerBI
Oracle Fusion Human Capital Management
Python
SAS Studio
HTML
CSS
JavaScript
MySQL
Oracle Database
Microsoft Visual Studio
Data Engineer
Specializes in Python, machine learning & data science.
Manu Prakash is an analytics and digital marketing expert with over four years of experience in SEO, content marketing and SEM, and a documented record of success in increasing online presence and brand awareness. He has worked at the intersection of business and data science at KDnuggets, Crayon Data, Redevon IT Technologies, and Ideas2IT. As a writer, he blogs about big data, Python, data science, and machine learning. Manu is also Google Analytics, Google AdWords, and HubSpot Content Marketing certified.View More
Business Analytics
Analytics
Python
Machine Learning
Data Science
Content Marketing
SQL
Writing
Google Analytics
Google AdWords
HubSpot
Market Research
Marketing Strategy
Email Marketing
Social Media Marketing
Digital Marketing
Data Analysis
Search Engine Optimization
Search Engine Marketing (SEM)
Big Data Content
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Employer Brand Marketing, Philips
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Director of Digital Marketing, Marriott International
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Frequently Asked Questions

What is Hire Digital?

Hire Digital connects companies with talent in marketing, digital, and content creation. We curate our expert network through a rigorous screening process, where members are evaluated for their technical skills, work experience, and their problem solving and communication skills.

How to start working with a talent?

Tell Hire Digital your requirements and talent needs, or let us know by registering here. Our talent specialists will curate and find you the most relevant match. You can interview your talent and start work immediately.

How to choose a talent?

We’ll match the best talent for your needs based on the required skills, expertise level, project size, budget, language, geography, experience, and other criteria. A decision is made by our experts with the help of AI-based algorithms. Only 3% of the talent we vet are accepted to our network - hence you can be assured of the quality.

How long will it take?

Companies typically take between 24 to 72 hours from the time when they inform Hire Digital of their talent needs, to start working with their matched talent.

What if I’m not satisfied?

Hire Digital provides satisfaction guarantees for its clients. If the talent does not perform up to your standard, Hire Digital will provide a talent replacement.

How much does it cost?

Hire Digital will find you talent that match your preferred rates. We cater to individual requests based on your specific talent needs.

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Work with Data Engineers