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Overnight Databricks Data Engineer Jobs in Dublin, CA

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Databricks Engineer Experience 4-8 years Location As per business requirement Employment Type ... Integrate data from various sources including relational databases, APIs, cloud storage, and ...

USG, Inc.

Databricks Architect - SFO, CA

San Francisco, CA · On-site

$76.25 - $100.25/hr

Databricks Data Engineering Professional certification (or equivalent advanced Databricks certification) with completion of all recommended learning paths and coursework. * Databricks has a ...

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Overnight Databricks Data Engineer information

What is an overnight Databricks data engineer?

An Overnight Databricks Data Engineer is a professional who works primarily during night shifts to manage, design, and maintain big data pipelines and workflows using Databricks, a cloud-based data analytics platform. Their responsibilities often include developing and optimizing data processing jobs, ensuring data quality, and troubleshooting issues that arise during overnight data operations. This role is critical for organizations that require 24/7 data processing, continuous ETL jobs, or real-time analytics. Working overnight may also involve monitoring automated systems, performing scheduled data loads, and collaborating with global teams to ensure data availability and reliability.

What skills and qualifications are needed to thrive as an overnight Databricks data engineer?

To thrive as an Overnight Databricks Data Engineer, you need strong proficiency in data engineering, Python or Scala programming, and experience with big data technologies, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and certifications like Databricks Certified Data Engineer are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills, especially for troubleshooting and collaborating across shifts. These competencies ensure reliable data pipeline management and efficient resolution of issues during off-hours, maintaining seamless business operations.

What unique challenges do overnight Databricks data engineers face, and how can they be addressed?

Overnight Databricks Data Engineers often work with limited real-time support, which can present challenges when troubleshooting urgent data pipeline issues or system outages. To address this, it’s essential to develop strong problem-solving skills, document processes thoroughly, and leverage automated monitoring and alerting tools. Additionally, close collaboration with daytime teams during handoff periods ensures continuity and minimizes disruptions. Building a habit of proactive communication and maintaining detailed logs helps the entire team resolve issues efficiently and maintain data quality.

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

AspectOvernight Databricks Data Engineer
Work EnvironmentPrimarily remote or on-site, working overnight shifts to support global data operations
CertificationsDatabricks certifications, cloud platform credentials (AWS, Azure), data engineering certifications
Tools & TechnologiesDatabricks platform, Spark, cloud services, SQL, Python, ETL tools
Industry UsageTech, finance, healthcare, retail with 24/7 data needs

While both roles focus on data engineering, the Overnight Databricks Data Engineer specializes in managing data pipelines on the Databricks platform during overnight shifts, often supporting global operations. A Data Engineer may work across various platforms and shifts, with broader responsibilities in data architecture and pipeline development. The overnight role emphasizes specific platform expertise and shift timing, catering to organizations with continuous data processing needs.

What cities near Dublin, CA are hiring for Overnight Databricks Data Engineer jobs?

Cities near Dublin, CA with the most Overnight Databricks Data Engineer job openings:

Overnight Databricks Data Engineer jobs near you

Data Engineer

Kanak Elite Services Inc

Bay Point, CA • On-site

$125K - $151K/yr

Contractor

Re-posted 6 days ago

Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email with your updated resume.  

Position : Databricks Data Engineer
Location: [Bay Area, CA]

Duration : 12+ Months
Need experience with Databricks
Job Summary:
We are seeking a skilled Data Engineer with hands-on Databricks experience to design, build, and optimize large-scale data pipelines and analytics solutions. You will work with cross-functional teams to enable scalable data processing using the Databricks Lakehouse Platform on Azure.

Key Responsibilities:
• Design and implement ETL/ELT pipelines using Databricks, Delta Lake, and Apache Spark
• Collaborate with data scientists, analysts, and stakeholders to deliver clean, reliable, and well-modeled data
• Build and manage data workflows with Databricks Jobs, Notebooks, and Workflows
• Optimize Spark jobs for performance, reliability, and cost-efficiency
• Maintain and monitor data pipelines, ensuring availability and data quality
• Implement CI/CD practices for Databricks notebooks and infrastructure-as-code (e.g., Terraform, Databricks CLI)
• Document data pipelines, datasets, and operational processes
• Ensure compliance with data governance, privacy, and security policies
Qualifications:
• Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field
• 5+ years of experience in data engineering or a similar role
• Strong hands-on experience with Databricks and Apache Spark (Python, Scala, or SQL)
• Proficiency with Delta Lake, Unity Catalog, and data lake architectures
• Experience with cloud platforms (Azure, AWS, or GCP), especially data services (e.g., S3, ADLS, BigQuery)
• Familiarity with CI/CD pipelines, version control (Git), and job orchestration tools (Airflow, DB Workflows)
• Strong understanding of data warehousing concepts, performance tuning, and big data processing
Preferred Skills:
• Experience with MLflow, Feature Store, or other machine learning tools in Databricks
• Knowledge of data governance tools like Unity Catalog or Purview
• Experience integrating BI tools (Power BI, Tableau) with Databricks
• Databricks certification(s) (Data Engineer Associate/Professional, Machine Learning, etc.)

Feel free to reach out yashmita@kanakits.com