If you’ve been waiting for the right time to pursue a career in data engineeringnow might be it. Numerous industries are actively hiring data engineers, offering opportunities that fit a wide variety of interests and skills.
Currently, most of the open data engineer positions are located in California (20%). However, remote positions are now firmly in second place with 14% of open roles being identified as remote. Unsurprisingly, New York (10%) and Texas (10%) take 3rd and 4th place.
Although many of the open positions are in tech, healthcare, and finance, other industries are also represented. Check out a few of them below.
Healthcare, Insurance, BioPharma
A data engineer working in the healthcare or biopharma industry will likely be expected to work with extremely large data sets comprising patient data. Being able to draw insights from, as well as knowing how to keep this data secure, will be key skill sets for these roles.
Companies hiring data engineers include:
- Change Healthcare
- UnitedHealth Group
- Humana
- Takeda Pharmaceutical
Finance/Accounting
As you might imagine, the finance industry involves a significant amount of forecasting. As a data engineer in this industry, you might expect to work on models and algorithms designed to assess credit risk. Alternatively, you could be tasked with anomaly detection and helping to protect and secure data.
Companies hiring data engineers include:
- Wells Fargo
- Capital One
- U.S. Bank
- S&P Global
- Experian
- KPMG
- EY
- PwC
- Bank of America
Retail/eCommerce
Working in retail and eCommerce may involve working closely with internal stakeholders to support the company’s business intelligence goals. You could spend your time developing, building, and testing platforms that help your coworkers analyze and interpret data to derive actionable insights.
Companies hiring data engineers include:
Consulting
A job in consulting might be perfect for you if you are interested in a wide variety of industries, since you may find yourself working for many different clients with different needs. You might find yourself working on a data analysis project one month and a data architecture project the next month.
Companies hiring data engineers include:
- Accenture
- Deloitte
- Concentrix
- Booz Allen Hamilton
Information Technology
Working as a data engineer in IT, you might find yourself working on validating server platforms, creating software tools, or even helping to develop the new wave of cloud installations. You might also be expected to create solutions that can be deployed at a massive scale.
Companies hiring data engineers include:
- General Dynamics Information Technology
- Oracle
- Dell Technologies
- Leidos
- Amazon Web Services
- Rackspace Technology
- Teleperformance USA
- Intel
Social Media & Technology
At a social media company, you might find yourself working on optimizing the life cycle of massive amounts of data. You might also be expected to design and maintain automated systems to enable the organization to operate at the necessary speeds.
Companies hiring data engineers include:
Miscellaneous
If none of the above industries appeal to you, don’t worry. There are many other industries looking for data engineers to make a positive impact on their business. Check out a few below.
Companies with open positions include:
- Northrop Grumman (aerospace)
- Boeing (flying/travel tech)
- Sylvamo (paper)
- Randstad USA (Recruiting)
- Applied Materials (Engineering product creation)
Become a data engineer today
So, if you’ve been interested in pursuing a career as a data engineer, there is no time like the present. And if you’re not sure how to get started on that journey, join us at ODSC West this November, to hear from leading experts, build new skills, and learn about the current state of the job market including who’s hiring data engineers and more. Register soon for 20% off! Here are some related data engineering sessions coming to ODSC West this November 1st-3rd:
- Human-Friendly, Production-Ready Data Science with Metaflow
- Full-stack Machine Learning for Data Scientists
- DataPrepOps: MLOps for Data-Centric AI
- Democratizing Distributed Compute and Machine Learning: A Tour of Three Frameworks
- MLOps for Deep Learning
- Extensible Hosted Jupyter Notebook Platform for Accelerating Data Insights
- Orchestrating Data Assets instead of Tasks, with Dagster
- Data Analytics at Scale: A Four-legged Stool
- Open-source Data Curation and Governance for Large and Growing Data Lakes
- Relational Dataset Analytics for Clear Customer Insights
- Data-driven ML Retraining with Production Insights
- Identity, Fidelity and a Very Long Tail of Edge Cases
- How Enterprises Succeed with MLOps at Scale
- How Far Left Can You Shift? The Tension Between Data Science and ML Engineering
- Turning your Data/AI algorithms into full web apps in no time with Taipy
- MLOPs GItOps/Pipelines
