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Databricks Engineer Jobs in Delaware (NOW HIRING)

Experience with Databricks and Airflow for data engineering workflows. Understanding of Agile methodologies and work within common Agile frameworks. Knowledge of CI/CD, TDD, cloud development ...

Python PySpark

Wilmington, DE · On-site

$48.75 - $67.25/hr

JD: Expert proficiency in Python programming language Expert proficiency in PySpark, including ... like S3, Databricks, and Data Lake Storage Experience with continuous integration/continuous ...

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Databricks Engineer information

See Delaware salary details

$59.6K

$111.7K

$203.2K

How much do databricks engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for databricks engineer in Delaware is $111,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $132,600.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Delaware? For Databricks Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Delaware look for? The top searched job categories for Databricks Engineer jobs in Delaware are:
What cities in Delaware are hiring for Databricks Engineer jobs? Cities in Delaware with the most Databricks Engineer job openings:

$60 - $65/hr

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Posted 5 days ago


Job description

Job Title: Java Developer Location: Wilmington, DE Duration: Contract, 7+ months Pay Range: $60/hr- $65/hr (W2) Job ID: 373925 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description We are seeking a Junior Developer to join our dynamic team. The ideal candidate will have strong experience in Java J2EE, PySpark/Spark, ETL and streaming pipelines, and AWS services and a proven ability to design, develop, test, deploy, maintain, and improve resilient and secure software solutions within Agile frameworks. Responsibilities: Design, develop, and maintain Java J2EE and Spark-based applications and data pipelines.

Build and operate ETL and streaming pipelines using PySpark/Spark and AWS services. Implement CI/CD, TDD, and secure coding practices to ensure application resiliency. Develop, schedule, and monitor workflows using Databricks and Airflow.

Required Skills & Qualifications: Proficiency in Java J2EE and one or more general-purpose languages such as Python or Java. Extensive hands-on experience with PySpark/Spark for ETL and streaming pipelines. Experience with AWS services including EMR, Lambda, S3, and RDS.

Experience with Databricks and Airflow for data engineering workflows. Understanding of Agile methodologies and work within common Agile frameworks. Knowledge of CI/CD, TDD, cloud development, application resiliency, and security practices.

3+ years of applied software engineering experience with formal training or certification. Preferred Skills: Shell scripting and Unix systems experience. Terraform proficiency for infrastructure management.

Familiarity with modern LLM techniques and practical use case development. Why BCforward? At BCforward, we believe in advancing lives and careers.

When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.