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Temporary Databricks Data Engineer Jobs in Tennessee

Data Engineer

Knoxville, TN · Remote

$120K - $155K/yr

... e.g., Databricks, Snowflake, Redshift, or equivalent). * Proven experience supporting AI/ML ... feature engineering, data preparation, or embedding pipelines. * Strong background in data ...

Data Engineer

White House, TN

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Experience with a cloud data platform such as Microsoft Fabric, Databricks, Snowflake, Azure ...

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Fabric, Databricks, Snowflake, Azure Synapse, or equivalent. • Experience building ETL/ELT ...

Data Engineer

White House, TN · On-site

$110K - $132K/yr

Position Summary VantageWorks is seeking a Data Engineer to help build and support the data ... Fabric, Databricks, Snowflake, Azure Synapse, or equivalent. · Experience building ETL/ELT ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

The ideal candidate will have a strong background in Azure Databricks, data engineering, and data architecture, with a focus on building scalable and secure data platforms. The successful candidate ...

New

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join ... Experience with healthcare data and Databricks. * CI/CD process knowledge (GitHub). What You'll Do:

Data & AI Platform Engineer

Nashville, TN

$110K - $132K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Showing results 21-40

Temporary Databricks Data Engineer information

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Tennessee?

The most popular types of Databricks Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Temporary Databricks Data Engineer jobs?

Cities in Tennessee with the most Temporary Databricks Data Engineer job openings:

Principal Data Engineer

Dollar General

Goodlettsville, TN • On-site

$107K - $129K/yr

Full-time

Posted 22 days ago


Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,613 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers


Job description

Company Overview
A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. This role involves building and optimizing data systems from the ground up, ensuring that data delivery architecture is consistent throughout ongoing projects.
The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance.
Job Details
Duties & Responsibilities: What major responsibilities does this position have and what percentage of time is spent on completing them? (Typically 5 - 7)
• Develop, construct, test, and maintain data architectures: responsible for creating and maintaining optimal data pipeline architectures necessary for the organization's operational efficiency.
65%
• Collaborate with data scientists and other stakeholders: expected to collaborate with data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs.
10%
• Assemble and prepare large, complex data sets to meet functional business requirements: required to work with different teams to understand their data needs and ensure those needs are met.
10%
• Build analytics tools: This will involve developing tools that utilize the data pipeline to provide actionable insights into key business performance metrics. 5%
• Maintain data security and compliance: ensure systems meet industry practices and business requirements for data privacy and protection. 5%
• Identify, design, and implement internal process improvements: This includes optimizing data delivery, automating manual processes, and re-designing infrastructure for greater scalability. 3%
• Keep up-to-date with the latest technology trends: Continually learn and adapt to new technologies that could improve existing systems 2%
Knowledge, Skills and Abilities (KSAs): What KSAs are required to perform this job?
• Hands on experience with programming languages (e.g. Python, SQL, GoLang)
• Knowledge with SQL database design concepts and Data Models
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master's is a plus
• Data engineering certification (e.g., Cloud Engineer, Data Engineer) is a plus
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including MongoDG, Postgres and/or Cassandra.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Composer, etc.
• Experience with GCP, Snowflake, Azure cloud services: BQ, Dataflow, Redshift
• Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
• Good Knowledge of software engineering principles, methodologies and current best practices.
• Able to multitask and shift priorities as needed.
• Able to use BI Tools for data analysis and data QA.
Qualifications
Work Experience &/or Education: What are the minimum education and/or experience requirements necessary to perform this job?
• 9+ years experience and a degree in information technology or computer science with additional vendor-specific certification.
• BS or MS degree in Computer Science or a related technical field
• 4+ years of Python or Java development experience
• 4+ years of SQL experience (No-SQL experience is a plus)
• 4+ years of experience with schema design and dimensional data modeling
• Ability in managing and communicating data warehouse plans to internal clients
• Experience designing, building, and maintaining data processing systems
• Experience working with a cloud platform such as Snowflake / Azure or Databricks

What Dollar General employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US