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Data Engineer Jobs In Grand Rapids Mi - 7 Job Positions Available

1 – 7 of 7 jobs
GE Aerospace jobs

Job Description SummaryThe Lead Test Systems Engineer will own the design and delivery of automated production test systems for complex electronic aerospace products. This role combines technical leadership, hands-on development, and cross-functional collaboration to ensure safe, high-quality,

GE Aerospace  23 days ago
Leidos jobs

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. For us, helping you grow your career is good business. Leidos is

Leidos  19 days ago
KION Group jobs

Dematic is seeking a Commissioning Engineer to join our Circular Sortation Center of Excellence. In this role, you’ll work with an international team to bring advanced automation systems to life at customer sites worldwide, helping develop a

KION Group  15 days ago
Barr Engineering Co. jobs

The role – what you’ll do Barr is seeking an environmental engineer to join our Grand Rapids, Michigan, office. In this hybrid role, you will support the Assessment and Remediation business unit and undertake challenging and progressive

Barr Engineering Co.  12 days ago
GE Aerospace jobs

Job Description SummaryWe are seeking a Real-Time Embedded Software Developer and Verification Engineer to join our Stores Management System (SMS) and Computing Platform Development Team in support of an undisclosed program. In this hybrid role, you will

GE Aerospace  1 day ago
Barr Engineering Co. jobs

The role – what you’ll do Barr is seeking a geologist intern to join our Grand Rapids, Michigan, office for the summer of 2027. In this role, you will support the Assessment and Remediation business unit

Barr Engineering Co.  8 days ago
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Syms Strategic Group, LLC (SSG) jobs

Syms Strategic Group (SSG) is seeking a talented Angular/NodeJS Developer Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Security Clearance Level: Public Trust Salary Range: $85,389 - $116,975 Military Veterans are highly

Syms Strategic Group, LLC (SSG)  6 days ago

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What is the job of Remote Data Engineer?

Remote data engineers are essential components of any data analytics team. They are in charge of managing, optimizing, overseeing, and monitoring data retrieval. They also manage storage and distribution across the company. Data engineers are responsible for identifying patterns in large data sets and designing algorithms to make raw data relevant to businesses. This IT position necessitates a diverse range of technical abilities. This includes a thorough understanding of SQL database design and several programming languages.

Frequently Asked Questions about Remote Data Engineer jobs

Yes, data engineers can fulfill their duties from any country in the world. One important consideration is to do with global time differences. You’ll need to be available if there’s an emergency such as a data breach or system failure. In saying that, there’s no reason to not be able to work 100% remotely.

Generally speaking, yes. Given that data engineers are responsible for all the data within a company, the company is required to provide equipment that will allow the data engineer to accomplish the job at hand.

Yes, in the data engineering industry, experience often trumps education. In order to become the best remote data engineer, it’s best to start out as an analyst. This will help you get a feel for the business. Training in both software development and data science skills such as statistics and math will also help further your career.

Data Engineers require the latest technology available. This is because the organization is reliant on the design, security, and speed at which the data engineer can deep dive into

Entry-level remote jobs are available under the mentorship of the data manager.

The answer is yes. They are able to mine and analyze data during system down-times. During these times data engineers can add machine learning feature transformations into existing systems. Integrating external or new datasets into existing data pipelines is best done after the company’s work hours. So the duties of a data engineer can definitely all be done remotely.

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