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Associate Azure Databricks Jobs in Florida (NOW HIRING)

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required. • Strong programming skills in Python ...

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required. • Strong programming skills in Python ...

Data Layer Engineer - SOUTHCOM EDA

Doral, FL · On-site

$105K - $127K/yr

... Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview. • Active TS/SCI ... Azure Data Engineer Associate. Come on board with a company that Values its Employees! Celestar ...

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Associate Azure Databricks information

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

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WO-006 Full-Stack Data Engineer with Security Clearance

Endurion

Doral, FL • On-site

Contractor

Posted 17 days ago


Job description

WO-006 Full-Stack Data Engineer Position Summary
The Full-Stack Data Engineer supports mission-critical objectives under the referenced work order by developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. This role implements RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources. This future opportunity is contingent upon award. Job Description
• The Full-Stack Data Engineer is responsible for developing and deploying full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms.
• The position requires implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
• Engineers will manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
• The role includes optimizing database queries and indexing strategies for large-scale geospatial and structured datasets. Required Qualifications and Experience
The contractor shall provide personnel who meet one of the following requirements:
• Bachelor's degree in Computer Science, Data Engineering, or a related field; or
• A minimum of five (5) years of professional experience in full-stack development and data engineering. Candidates must have demonstrated experience in the following areas:
• Developing interactive web-based data portals.
• Implementing API-driven data exchange.
• Integrating geospatial data layers into web applications.
• Working with Databricks, ESRI ArcGIS Feature Services, OpenLineage, and metadata management solutions.
• Managing CI/CD pipelines and containerized deployments in Kubernetes. Required Skills and Competencies
• Expertise in Python, JavaScript (React, Angular, Vue), SQL, and RESTful API design.
• Working knowledge of Databricks, ESRI ArcGIS Feature Services, and OpenLineage.
• Proficiency in full-stack development, database architecture, and API integration.
• Strong software development skills in cloud environments such as AWS, Azure, or Google Cloud.
• Ability to implement scalable data-driven applications and optimize database queries. Education
• Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
• Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required)
• AWS Certified Data Analytics – Specialty (Preferred, Not Required)
• ESRI Web GIS Developer Certification (Preferred, Not Required) Clearance Requirement
• An active TS/SCI security clearance is required for on-site duty location.