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Data Engineer
$115k-141k (estimate)
Full Time | IT Outsourcing & Consulting 3 Weeks Ago
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Scadea Solutions, Inc. is Hiring a Data Engineer Near Houston, TX

Job Details

Job Title: Data Engineer Real-time Operations

Location: Houston, TX ON-SITE

12 Month

Description:

Responsibilities:
Data Management & Integration:
Design and build pipelines to ingest and transport data
Own data quality and reliability for app-related data pipelines.
Collaborate with data and product teams to deliver robust, scalable data solutions.
Requirements:
Minimum 5 years of experience as a Data Engineer or in a similar role.
Direct exposure to developing scientific or engineering use cases; or degree in a STEM field.
Strong proficiency in Python preferred.
Demonstrated experience in stream processing and real-time data calculations, ideally with IoT data.
Proven ability in working with data caching, relational databases (RDBMS), and API creation/integration.
Strong problem-solving skills and a proven track record of learning and adapting to new technologies.
Excellent collaboration and communication skills, with a keen ability to work effectively within dynamic team environments.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$115k-141k (estimate)

POST DATE

05/25/2024

EXPIRATION DATE

05/27/2024

WEBSITE

scadea.com.au

HEADQUARTERS

PRINCETON, NJ

SIZE

25 - 50

FOUNDED

2011

TYPE

Private

CEO

KAVITHA AKKAPALLI

REVENUE

$5M - $10M

INDUSTRY

IT Outsourcing & Consulting

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The job skills required for Data Engineer include Python, Data Quality, API, Collaboration, Relational Databases, Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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