Is the Junior Data Engineer position at kreate fully remote?

Yes, this Junior Data Engineer position at kreate is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time Junior Data Engineer role?

This is a full-time Junior Data Engineer position at kreate.

What are the main requirements for the Junior Data Engineer role?

Key requirements include: 1–3 years of experience in data engineering, analytics engineering, software development, or a related field. internships and substantial academic or personal projects may count toward experience., solid sql skills, including joins and window functions, with an understanding of how joins can unintentionally multiply or "fan out" rows., working knowledge of python, including pandas or pyspark., and more.

What is the salary range for the Junior Data Engineer position?

The salary range for this Junior Data Engineer role is $95k - $105k.

How do I apply for the Junior Data Engineer position at kreate?

You can apply for this Junior Data Engineer position by clicking the "Apply Now" button on this page, which will take you to kreate's application portal.

Junior Data Engineer at kreate

United States

$95k - $105k

<div><body>The Junior Data Engineer helps build, maintain, and strengthen the data platform that supports dashboards, planning, and daily reporting across Kreate. The role works with data from the ERP, HR systems, and retail feeds as it moves through a Microsoft Fabric lake house using Bronze, Silver, and Gold layers. Working alongside a Senior Data Engineer, the Junior Data Engineer will gain hands-on experience building data pipelines, improving data quality, and supporting reliable, production-ready data infrastructure. The role also takes ownership of daily pipeline monitoring and troubleshooting while developing the skills needed to build data solutions end to end. Essential Functions and Responsibilities<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Build and maintain data ingestion pipelines and notebooks in Microsoft Fabric, including Data Factory pipelines, Python/Spark notebooks, and Delta tables.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Monitor the daily operation of scheduled pipelines and container jobs, triage failures, and ensure partially failed jobs are accurately reported as failures rather than successful runs.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Develop and maintain data quality checks for data freshness, row counts, duplicate records, and reconciliation back to source systems, including appropriate alerts for issues.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Migrate ad-hoc and desktop-scheduled scripts to managed, version-controlled, and monitored infrastructure.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Model new source tables into conformed Silver dimensions and Gold facts, with clearly documented data grain and business definitions.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Maintain runbooks and the data catalogue to ensure data pipelines, processes, and systems are well documented and maintainable.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Work alongside senior engineering team members to troubleshoot pipeline issues, understand root causes, and build reliable solutions.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Collaborate with data, analytics, and business teams to ensure data is accurate, accessible, and fit for downstream reporting and analysis.</li></ul>Required Qualifications<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">1–3 years of experience in data engineering, analytics engineering, software development, or a related field. Internships and substantial academic or personal projects may count toward experience.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Solid SQL skills, including joins and window functions, with an understanding of how joins can unintentionally multiply or "fan out" rows.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Working knowledge of Python, including pandas or PySpark.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Everyday experience using Git and version control.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Strong attention to detail and patience for investigating existing pipelines and determining why a data result or metric has changed.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">A strong commitment to data accuracy and quality, with the judgment to flag discrepancies rather than deliver numbers that simply appear reasonable.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Strong problem-solving skills and an interest in learning data engineering practices, tools, and technologies.</li></ul>Preferred Qualifications<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Experience with Microsoft Fabric, Azure Data Factory, Databricks, or Synapse.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Familiarity with Delta Lake and Parquet.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Basic knowledge of Azure services such as App Service, Container Apps, Key Vault, and Entra ID.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Experience working with ERP or manufacturing data, including Oracle, IQMS/DELMIAworks, SAP, or Epicor.</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Experience with Power BI.</li></ul>Company Details:<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">Location: Remote</li><li style="margin:3px 0px;font-size:11pt;line-height:1.6;letter-spacing:0.25px;">This position will report to the VP of AI & Analytics </li></ul>Kreate is an equal opportunity employer. The Statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company. </body></div>

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Remote Opportunity

Junior Data Engineer

Join kreate as a entry professional working remotely from United States. Explore the role, benefits, and apply in one place.

Junior Data Engineer

kreate

Full Time

$95k - $105k

4 weeks ago

The Junior Data Engineer helps build, maintain, and strengthen the data platform that supports dashboards, planning, and daily reporting across Kreate.

United States

Engineering

Entry

SQL

Python

Microsoft Fabric

+5 more

Job Description

The Junior Data Engineer helps build, maintain, and strengthen the data platform that supports dashboards, planning, and daily reporting across Kreate. The role works with data from the ERP, HR systems, and retail feeds as it moves through a Microsoft Fabric lake house using Bronze, Silver, and Gold layers. Working alongside a Senior Data Engineer, the Junior Data Engineer will gain hands-on experience building data pipelines, improving data quality, and supporting reliable, production-ready data infrastructure. The role also takes ownership of daily pipeline monitoring and troubleshooting while developing the skills needed to build data solutions end to end.

Essential Functions and Responsibilities

Build and maintain data ingestion pipelines and notebooks in Microsoft Fabric, including Data Factory pipelines, Python/Spark notebooks, and Delta tables.
Monitor the daily operation of scheduled pipelines and container jobs, triage failures, and ensure partially failed jobs are accurately reported as failures rather than successful runs.
Develop and maintain data quality checks for data freshness, row counts, duplicate records, and reconciliation back to source systems, including appropriate alerts for issues.
Migrate ad-hoc and desktop-scheduled scripts to managed, version-controlled, and monitored infrastructure.
Model new source tables into conformed Silver dimensions and Gold facts, with clearly documented data grain and business definitions.
Maintain runbooks and the data catalogue to ensure data pipelines, processes, and systems are well documented and maintainable.
Work alongside senior engineering team members to troubleshoot pipeline issues, understand root causes, and build reliable solutions.
Collaborate with data, analytics, and business teams to ensure data is accurate, accessible, and fit for downstream reporting and analysis.

Required Qualifications

1–3 years of experience in data engineering, analytics engineering, software development, or a related field. Internships and substantial academic or personal projects may count toward experience.
Solid SQL skills, including joins and window functions, with an understanding of how joins can unintentionally multiply or "fan out" rows.
Working knowledge of Python, including pandas or PySpark.
Everyday experience using Git and version control.
Strong attention to detail and patience for investigating existing pipelines and determining why a data result or metric has changed.
A strong commitment to data accuracy and quality, with the judgment to flag discrepancies rather than deliver numbers that simply appear reasonable.
Strong problem-solving skills and an interest in learning data engineering practices, tools, and technologies.

Preferred Qualifications

Experience with Microsoft Fabric, Azure Data Factory, Databricks, or Synapse.
Familiarity with Delta Lake and Parquet.
Basic knowledge of Azure services such as App Service, Container Apps, Key Vault, and Entra ID.
Experience working with ERP or manufacturing data, including Oracle, IQMS/DELMIAworks, SAP, or Epicor.
Experience with Power BI.

Company Details:

Location: Remote
This position will report to the VP of AI & Analytics

Kreate is an equal opportunity employer. The Statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.

Requirements

1–3 years of experience in data engineering, analytics engineering, software development, or a related field. internships and substantial academic or personal projects may count toward experience.
solid sql skills, including joins and window functions, with an understanding of how joins can unintentionally multiply or "fan out" rows.
working knowledge of python, including pandas or pyspark.
everyday experience using git and version control.
strong attention to detail and patience for investigating existing pipelines and determining why a data result or metric has changed.
a strong commitment to data accuracy and quality, with the judgment to flag discrepancies rather than deliver numbers that simply appear reasonable.
strong problem-solving skills and an interest in learning data engineering practices, tools, and technologies.
experience with microsoft fabric, azure data factory, databricks, or synapse.

Skills

SQL

Python

Microsoft Fabric

Data engineering

Data Pipelines

Spark

Git

Data Quality

Ready to Apply?

Join kreate today

Salary Range

$95k - $105k

Posted 4 weeks ago

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