Top 10 Companies Hiring for Data Engineering Roles in 2023

The top 10 companies hiring for data engineering roles in 2023 are rapidly growing

As businesses continue to collect and store massive amounts of data, the demand for skilled data engineering roles that can design, build, and maintain systems that enable effective data analysis has risen dramatically. They are the individuals that effectively manage and optimize data infrastructure to derive insightful information and make defensible judgments based on data-driven analysis.

Due to the increasing need for data-driven insights and the ever-evolving technology, the profession of data engineering is now developing quickly and is quite lucrative. In this article, we'll look into some of the top companies hiring for data engineering roles in 2023.

1. Google

To fill the position of Data Scientist, Google is recruiting (business and marketing). The ideal applicant should have a bachelor's degree in computer science or a related field, more than eight years of expertise in data science and web technologies including HTML, CSS, JavaScript, and HTTP, as well as previous work in jobs that put the needs of the customer first.

2. Microsoft

The analytics and insights team at Microsoft is seeking a data engineer with a growth mentality and a focus on the customer. To increase customer opportunities and revenue development, the position requires managing data architecture, maintaining data quality and compliance, and collaborating with other Microsoft teams.

3. Apple

For their applied machine learning search team, Apple is looking to hire a search software engineer. The candidate must have experience utilizing the Java tech stack to build and implement large-scale, distributed, and highly available systems and pipelines.

4. Pfizer

Pfizer, a research-based biopharmaceutical firm, is looking to expand its data science industrialization team by hiring a Senior Associate Analytics Engineer who can easily automate high-quality data pipelines for advanced analytics, AI, ML, and other business applications.

5. Airtel

Wynk, the music streaming service from Airtel, is also searching for an experienced Data Engineer to join their data platform team in Gurgaon in a flexible work environment. The creation and upkeep of a dependable, scalable, and effective data pipeline are the responsibilities of this mid-senior level post.

6. Nike

For its enterprise data and analytics team, the leading apparel company Nike is looking to hire a qualified Data Engineer with programming and big data expertise who appreciates working in a fast-paced environment.

7. IBM

A Data Engineer who can create, test, and support data solutions for clients in many industry verticals is what IBM is looking for. They also need to be familiar with governance, information management, and data structures and platforms.

8. JP Morgan Chase & Co

Banking behemoth JP Morgan Chase & Co. is looking for a SQL Engineer to join its team responsible for the centralization of data architecture. The ideal applicant will be at ease with data, knowledgeable about creating cloud-based apps, and have practical expertise in creating unified data models.

9. Deloitte

For their analytics and forensic technology practice and to work on their new Anti-Fraud Waste and Abuse solution, Deloitte is seeking a Data Engineer (AFES). AFES is in charge of applying cutting-edge technology and machine learning to find fraud, waste, and abuse across several industries.

10. Qualcomm

A Machine Learning Systems Engineer with experience in deep learning frameworks including Keras, TensorFlow, ONNX, PyTorch, and Caffe/Caffe2 is wanted by Qualcomm. Someone with practical experience building CNNs, RNNs/LSTMs, and other neural network designs for CV, NLP, and NLG models is needed for this post.