Jr. Data Engineer

Akaasa Technologies
Plano, TX, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Compensation
$107,480.0 - $143,307.0
Working hours
Regular working hours

Tech stack

Data Architecture Information Engineering Relational Databases Desktop Computing Python (Programming Language) DataOps SQL Databases Extensible Markup Language (XML) Snowflake Information Technology Programming Languages

Job description

Data architects are responsible for the design, structure, and maintenance of data, usually organized in a relational database. A data architect ensures the accuracy and accessibility of data relevant to an organization or a project. The management and organization of data is highly technical and requires advanced skills with computers and proficiency with data-oriented computer languages such as SQL and XML. A successful data architect must possess superior analytical skills and be detail-oriented. Data architects require the ability to communicate effectively, as they typically are part of a larger team within an information technology department. Additionally, a data architect likely needs to explain complex technical concepts to non-technical staff. Since development of data models and logical workflows is common, a data architect must also exhibit advanced visualization skills, as well as creative problem-solving.

Requirements

  • SQL and XML
  • 2-3 years experience in Data Engineering / Snowflake / Python.
  • Good communication Skills
  • Ability to communicatee with technical and non technical staff
  • Advanced Visualization experience

Benefits & conditions

  • $90,000-120,000 per year

About the company

Channel Data Hub is seeking a Jr Data Engineer will have to understand concepts of Data Warehousing and Data Cloud solutions.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

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