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Senior Databricks Data Engineer Jobs in Arizona (NOW HIRING)

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Hadoop echo system, Spark, Databricks, and Azure-based services * Experience with medium to large ... The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing ... Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

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 ...

Senior Data Engineer

Phoenix, AZ · On-site

$8.5K - $9.5K/mo

SENIOR DATA ENGINEER Job Code: SRDATENG Reports To: Director, Data Operations & Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $8,500 Hiring Range ...

Senior Data & AI Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

The Senior Data & AI Engineer will be responsible for architecting and optimizing data solutions ... Azure (ADLS, Event Hub, Functions, Key Vault, Databricks), optional AWS/GCP exposure • ...

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Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data Engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Arizona? The most popular types of Databricks Data Engineer jobs in Arizona are:
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What job categories do people searching Senior Databricks Data Engineer jobs in Arizona look for? The top searched job categories for Senior Databricks Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Senior Databricks Data Engineer jobs? Cities in Arizona with the most Senior Databricks Data Engineer job openings:
Big Data Engineer with Java

Big Data Engineer with Java

Navtech, Inc.

Phoenix, AZ • On-site

$54.25 - $71.75/hr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Big Data Engineer with Java
Location: Remote
Duration: 12 Months Contract
Qualifications:
  • Bachelor's Degree in a Technical Discipline or equivalent work experience
  • Must have experience with Big Data toolsets: Hadoop echo system, Spark, Databricks, and Azure-based services
  • Experience with medium to large scale data structures/data lakes
  • Experience with both Streaming and Batch Data Ingestion (Lambda)
  • Experience with Java
  • Must have experience in Streaming technologies (Kafka, Spark structured streaming, Databricks)
  • Must have a minimum of 5 years of overall Technology experience with at least 2 years of Big Data (Hadoop, Spark, and Azure HDInsights) experience
  • Experience working with data preparation and data quality

Responsibilities:
  • The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze, design, and deliver data products that enable NCR's business
  • You will evaluate business questions, find the right data sets, ensure the cleanliness of the data, and build scalable and clean solutions that can be deployed in a production environment
  • Along the way, you'll partner with our Azure Infrastructure, Visualization, Advanced Analytics, and Engineering teams to consistently deliver quality data products

Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996