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Remote Work From Home Azure Data Engineer Jobs in Missouri

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... from various sources, and developing tools for data processing and analysis. You will play a ...

Perficient

Data Architect - Azure and Big Data

Saint Louis, MO · On-site +1

$61.75 - $80.50/hr

Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling ... tools from on-premise and cloud infrastructure to Azure * Ability to produce high-quality work ...

The Jernigan Agency

WORK FROM HOME

Saint Louis, MO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

Jobgether

$81K - $111K/yr

Fully remote work arrangement from a home office in Romania, Poland, or Portugal. * Opportunity to collaborate with a diverse international team across multiple regions. * Flexible working ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · Remote

$103K - $140K/yr

Join Us from Anywhere While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie ... We understand the importance of work-life balance and support our team with: Flexible Time Off to ...

HMG Careers

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

HMG Careers

Work From Home Sales Specialist

Waco, MO · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

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Remote Work From Home Azure Data Engineer information

What are the key skills and qualifications needed to thrive as a remote work from home Azure data engineer?

To thrive as a Remote Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, data modeling, and experience with Azure cloud services, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills, especially for remote collaboration. These skills and qualities ensure the delivery of reliable, scalable data solutions while enabling seamless teamwork and project success in a distributed environment.

What is the difference between Remote Work From Home Azure Data Engineer vs Remote Work From Home Data Analyst?

AspectAzure Data Engineer
Required CredentialsAzure certifications, SQL, Python, data modeling
Work EnvironmentRemote, cloud-based data infrastructure
Industry UsageTech, finance, healthcare, any data-driven sector
Common Search IntentComparing cloud data roles and responsibilities

The Remote Work From Home Azure Data Engineer focuses on designing and managing cloud-based data solutions using Azure services, requiring specific cloud certifications. In contrast, a Remote Work From Home Data Analyst primarily interprets data, creates reports, and uses tools like Excel and SQL. Both roles often work remotely and are in data-centric industries, but their core skills and responsibilities differ significantly.

What is a remote work from home Azure data engineer?

Remote Work From Home Azure Data Engineers are IT professionals who specialize in designing, developing, and managing data solutions on Microsoft Azure, while working remotely from their home or any location outside of a traditional office. Their responsibilities often include building data pipelines, ensuring data security, and optimizing data storage and retrieval using Azure services. These engineers collaborate with teams virtually, leveraging cloud-based tools to maintain and process large datasets. Working remotely, they must have strong communication skills and be self-motivated to deliver efficient cloud data solutions.

What are some common challenges faced by remote work from home Azure data engineers and how can they be addressed?

Remote Azure Data Engineers often encounter challenges such as coordinating with geographically dispersed team members, ensuring secure data access, and managing complex cloud resources without in-person support. To address these, effective communication through regular virtual meetings and clear documentation is essential. Utilizing collaboration tools like Microsoft Teams and Azure DevOps can streamline project workflows, while following best practices for cloud security and automation helps maintain data integrity and system reliability in a remote setting.
What are popular job titles related to Remote Work From Home Azure Data Engineer jobs in Missouri? For Remote Work From Home Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Work From Home Azure Data Engineer jobs in Missouri look for? The top searched job categories for Remote Work From Home Azure Data Engineer jobs in Missouri are:
Remote Work From Home Azure Data Engineer jobs near you

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • Remote

$113K - $136K/yr

Contractor

Re-posted 8 days ago

Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.

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