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Senior Databricks Data Engineer Jobs in Delaware

Judge Group, Inc.

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is ... Experience working with Apache Spark and Databricks * Proficiency in workflow orchestration tools ...

Judge Group, Inc.

Data Engineer

Wilmington, DE · On-site

$80 - $85/hr

Role: Senior Data Engineer Duration: 6-12+ months RTH Location: Wilmington, Delaware Interview Process: 2 rounds Must Haves: (Java OR Python), Spark, (AWS OR Databricks), Airflow, Relational ...

Judge Group, Inc.

Data Engineer Junior

Wilmington, DE · On-site

$50 - $60/hr

Contribute to Databricks migration initiatives and optimize existing workflows. * Perform hands-on data engineering tasks including scripting, debugging, and pipeline enhancements. Minimum ...

Dlapiper

Data Engineer

Wilmington, DE

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Troutman Pepper

Senior Data Engineer

Wilmington, DE · Remote

$102K - $139K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

Chesapeake

Senior Power BI Developer

Newark, DE · On-site

Senior Power BI Developer Hybrid - Newark, DE Your role in our success will be: The Senior Power BI ... Experience with Azure Data Factory, Synapse Analytics, Databricks, or other data engineering tools ...

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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 Delaware? The most popular types of Databricks Data Engineer jobs in Delaware are:
What are popular job titles related to Senior Databricks Data Engineer jobs in Delaware? For Senior Databricks Data Engineer jobs in Delaware, the most frequently searched job titles are:
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Senior Databricks Data Engineer jobs near you
Sr. Data Engineer

Sr. Data Engineer

Judge Group, Inc.

Wilmington, DE • On-site

$102K - $139K/yr

Other

Posted 27 days ago

Job description

Location: Wilmington, DE Description:
Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is a contract-to-hire opportunity offering the chance to work on critical data initiatives, including governance, data modeling, and advanced analytics.
Key Responsibilities
  • Design, build, and maintain scalable data pipelines and data platforms
  • Perform data analysis, data modeling, and support data governance initiatives
  • Collaborate cross-functionally with engineering, analytics, and business teams
  • Ensure data quality, reliability, and performance across systems
  • Support and enhance data workflows in a cloud-based environment

Required Qualifications (Must Have)
  • Strong programming experience in Java or Python
  • Hands-on expertise with AWS cloud services
  • Experience working with Apache Spark and Databricks
  • Proficiency in workflow orchestration tools such as Apache Airflow
  • Strong experience with Relational Databases (RDBMS)

Preferred Qualifications (Nice to Have)
  • Experience with Snowflake
  • Knowledge of NoSQL databases

Interview Process
  • Two rounds of interviews
  • Onsite participation required

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