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Overnight Databricks Data Engineer Jobs in Vermont

Vultus Inc

Databricks Engineer

Johnson, VT · On-site +1

The candidate will work on data pipelines, ETL/ELT processes, data transformation, and analytics solutions. Primary Skills * Databricks * Apache Spark / PySpark * Python * SQL * Data Engineering ...

Pwc

Data Engineer - Senior Manager

Montpelier, VT · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Trioptus

DataOps Engineer

Montpelier, VT · On-site

Databricks Data Engineer * Data Governance or Data Management certifications * Experience in healthcare, public sector, or highly regulated data environments * Familiarity with change management and ...

Pwc

AI Engineer

Montpelier, VT · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing ...

Osmose

Field Data Technician - CA

East Montpelier, VT · On-site

$20.25 - $27.75/hr

... plant engineering and various fiber-optic construction projects. Osmose will train the ideal ... This position requires routine overnight travel typically 1-2 weeks at a time away from home. Home ...

Osmose

Field Data Technician - MA

East Montpelier, VT · On-site

$20.25 - $27.75/hr

... plant engineering and various fiber-optic construction projects. Osmose will train the ideal ... This position requires routine overnight travel typically 1-2 weeks at a time away from home. Home ...

FirstLight

Facilities Engineer

Williston, VT · On-site

$75K - $95K/yr

The expectation is that the Data Center/Facilities engineer would oversee common systems ... Occasional overnight travel may be required. Employee will be required to work and drive, in all ...

FocusKPI

Marketing Operations Analyst

Barre, VT

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

FocusKPI

Marketing Operations Analyst

Colchester, VT · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

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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.

Overnight Databricks Data Engineer jobs near you

Databricks Engineer

Johnson, VT • On-site, Remote

Vultus Inc
Software Development • 11 - 50 employees
Learn more about Vultus Incexternal

Full-time

Posted 11 days ago

Job description

Databricks Engineer

Experience

3–6 Years

Job Type

Full-Time

Job Location

Hyderabad / Remote / Hybrid

Job Summary

We are looking for an experienced Databricks Engineer to design, develop, and maintain scalable data engineering solutions using Databricks and cloud-based data platforms. The candidate will work on data pipelines, ETL/ELT processes, data transformation, and analytics solutions.

Primary Skills
  • Databricks
  • Apache Spark / PySpark
  • Python
  • SQL
  • Data Engineering
  • ETL / ELT
  • Delta Lake
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Data Pipelines
  • Cloud Data Platforms
Secondary Skills
  • Azure / AWS / GCP
  • Data Warehousing
  • Apache Kafka
  • Git / GitHub
  • CI/CD
  • REST APIs
  • Terraform
  • Power BI
  • Performance Optimization
Key Responsibilities
  • Develop and maintain scalable data pipelines using Databricks and PySpark.
  • Design ETL/ELT workflows for processing large datasets.
  • Build and optimize Delta Lake tables and data processing jobs.
  • Develop data solutions using cloud platforms such as Azure, AWS, or GCP.
  • Integrate data from multiple sources into data lake and data warehouse environments.
  • Optimize Spark jobs and Databricks workloads for performance and cost.
  • Implement data quality, validation, and error-handling processes.
  • Collaborate with data scientists, analysts, and application teams.
  • Implement CI/CD practices for data engineering workflows.
  • Troubleshoot production data pipelines and resolve data-related issues.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks, PySpark, Python, and SQL.
  • Experience working with cloud data platforms.
  • Good understanding of data modeling, ETL/ELT, and data warehousing concepts.
  • Strong analytical and problem-solving skills.
Preferred Certifications
  • Databricks Certified Data Engineer
  • Microsoft Azure Data Engineer Associate
  • AWS Certified Data Engineer
Salary

Competitive / Based on Experience