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Overnight Databricks Data Engineer Jobs in Mount Laurel, NJ

Scigon Solutions

Azure Data Engineer

Camden, NJ · On-site

$97K - $130K/yr

Azure Data Engineer Salary: $97,500-$130,000 Job Summary We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data ...

Pwc

Data Engineer - Senior Manager

Philadelphia, PA · 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 ...

SCIGON

Azure Data Engineer

Camden, NJ · On-site

$120 - $180/hr

We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data solutions. This role is responsible for building and ...

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Data Engineer

Philadelphia, PA

$115K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

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Data Engineer

Philadelphia, PA

$115K - $138K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * DevOps for data ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term ... Design and develop data pipelines using Azure Data Services and Databricks . * Build and optimize ...

Dlapiper

Data Engineer

Philadelphia, PA

$115K - $138K/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 ...

Chubb

AVP, Lead Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

By joining Chubb as Lead Data Engineer for our North America Finance & Actuarial data platform, you ... Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake ...

Chubb

AVP, Lead Data Engineer

Philadelphia, PA

$109K - $131K/yr

By joining Chubb as Lead Data Engineer for our North America Finance & Actuarial data platform, you ... Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake ...

Chubb

AVP, Lead Data Engineer

Philadelphia, PA · On-site

$152K - $221K/yr

By joining Chubb as Lead Data Engineer for our North America Finance & Actuarial data platform, you ... Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake ...

Aramark

Data Engineer

Philadelphia, PA

$100K - $130K/yr

We are seeking a Data Engineer who will work hands-on and collaboratively with our enterprise and ... Data warehousing platforms such as Snowflake, Databricks, or equivalent * Experience with Apache ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

We are seeking a Data Engineer who will work hands-on and collaboratively with our enterprise and ... Data warehousing platforms such as Snowflake, Databricks, or equivalent * Experience with Apache ...

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All JobsDatabricks Data Engineer JobsOvernight Databricks Data Engineer JobsOvernight Databricks Data Engineer Jobs in Mount Laurel, NJ

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 are the most commonly searched types of Databricks Data Engineer jobs in Mount Laurel, NJ?

The most popular types of Databricks Data Engineer jobs in Mount Laurel, NJ are:

What cities near Mount Laurel, NJ are hiring for Overnight Databricks Data Engineer jobs?

Cities near Mount Laurel, NJ with the most Overnight Databricks Data Engineer job openings:

Overnight Databricks Data Engineer jobs near you

Data Engineer - Databricks, AWS, Python

CEI

Philadelphia, PA • Remote

$109K - $131K/yr

Full-time

Posted 25 days ago

Job description

Data Engineer – Databricks, AWS, Python
100% Remote / MUST interview on-site: Phila., PA  19103
$125,000 - $135,000/yrRole OverviewWe are seeking a Data Engineer to support the development, modernization, and delivery of data engineering assets, and the Yield Looker-to-Tableau migration, and Supply/Yield Data Engineering initiatives through the remainder of 2026. This role will focus on building reliable ETL pipelines, enhancing legacy jobs, supporting migration work, and delivering core data assets that feed analytics and reporting in Tableau Cloud.Key Responsibilities
  • Develop, test, and maintain ETL and data engineering jobs that bring data into Databricks and support downstream analytics and reporting.
  • Work with business and technical stakeholders to understand requirements and translate them into scalable, production-ready data pipelines.
  • Build and maintain pipelines across AWS, Databricks, and Snowflake environments.
  • Enhance existing legacy data engineering jobs as part of broader modernization and migration efforts.
  • Create and maintain technical documentation, technical specifications, test plans, and operational support materials.
  • Perform testing and quality assurance to validate data accuracy, pipeline reliability, and readiness for production deployment.
  • Use Terraform to provision, configure, and manage cloud infrastructure supporting data engineering workloads.
  • Set up and maintain CI/CD pipelines using Concourse, GitHub Actions, or similar tooling to enable smooth, repeatable deployments.
  • Troubleshoot pipeline issues, resolve defects quickly, and help ensure data jobs run reliably within expected service levels.
  • Provide post-delivery support, including issue investigation, defect resolution, and operational handoff.
  • Identify and mitigate risks, including single points of failure, reliability gaps, and operational dependencies.
  • Collaborate with engineers, analysts, and reporting teams to share knowledge, strengthen best practices, and improve delivery quality.
Project ScopeThe Data Engineer will augment capacity on the Supply/Yield Data Engineering team and support priority work related to INVENTORY ART, including migration activities and the development of core data pipelines and assets. These assets will support analytics and reporting used by Steve S.’s teams in Tableau Cloud. The role will also provide additional support for the Yield Looker-to-Tableau migration and related modernization efforts.Required Skills and Experience
  • Hands-on experience developing ETL, ELT, or data engineering pipelines in production environments.
  • Strong experience with Databricks, Spark-based processing, and modern data pipeline development.
  • Experience working with AWS cloud services and Snowflake data platforms.
  • Proficiency with infrastructure-as-code practices, preferably Terraform.
  • Experience implementing CI/CD practices using Concourse, GitHub Actions, or comparable deployment automation tools.
  • Ability to write clear technical specifications, documentation, and support materials.
  • Strong testing, quality assurance, troubleshooting, and operational support skills.
  • Ability to work collaboratively with cross-functional teams and translate requirements into working technical solutions.
Preferred Qualifications
  • Experience supporting analytics or BI migrations, especially from Looker to Tableau.
  • Experience developing data assets for Tableau Cloud reporting and analytics use cases.
  • Familiarity with supply, yield, inventory, or advertising-related data domains.
  • Experience modernizing or enhancing legacy data engineering jobs.
  • Strong understanding of operational reliability, risk mitigation, and single-point-of-failure reduction.

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