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2 Data Engineer Jobs in The Woodlands, TX

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Robert Half
The Woodlands, TX | Full Time
$121k-150k (estimate)
1 Month Ago
Impact Solutions
The Woodlands, TX | Full Time
$101k-124k (estimate)
9 Months Ago
Data Engineer
Robert Half The Woodlands, TX
$121k-150k (estimate)
Full Time 1 Month Ago
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Robert Half is Hiring a Data Engineer Near The Woodlands, TX

We are looking for a savvy Data Engineer to join our growing team of data platform experts.

The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.,

* Create and maintain optimal data pipeline architecture.

* Assemble large, complex data sets that meet functional / non-functional business requirements.

* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

* Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'big data' technologies and tools.

* Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

* Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

* Keep our data separated and secure across national boundaries through multiple data centers and availability regions.

* Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

* Work with data and analytics experts to strive for greater functionality in our data systems.

* Relational databases * SQL * NoSQL * Go * C ,

* Strong analytic skills related to working with unstructured datasets.

* Strong project management and organizational skills.

* Enthusiasm for working with cross-functional teams in a dynamic environment.

* Ability to multi-task, problem solve and be a strong collaborator

* Ability to think strategically to manage day-to-day implementation requirements

* Ability to have face to face conversations co-workers and higher-level manager *

Highly Motivated, Positive Attitude, * 5 years of experience in a Data Engineer role.

* Experience using the following software/tools: * Experience with data tools: Dremio (primary), Databricks, Spark, etc.

* Experience with relational SQL and NoSQL databases, including MSSQL, Postgres, MongoDB, TimescaleDB, etc. and with data pipelines

Requirements
Amazon S3, Data Pipelines, Apache Spark, Python, Apache Kafka, T-SQL - Transact-SQL

Job Summary

JOB TYPE

Full Time

SALARY

$121k-150k (estimate)

POST DATE

03/24/2023

EXPIRATION DATE

05/05/2023

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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.

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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 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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