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Overnight Databricks Data Engineer Jobs in Michigan

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$103.30K - $141.80K/yr

Deloitte is a leading professional services firm, and they are seeking a Senior Databricks Data Engineer to design, build, and optimize scalable data engineering solutions. The role involves leading ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113.40K - $136.10K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

CFS

Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Position: Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

CFS

Data Engineer

Lansing, MI

$125K - $155K/yr

Position: Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

CFS

Data Engineer

Lansing, MI

$125K - $155K/yr

Position: Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with Databricks notebook workflows * Experience with Terraform

CFS

Senior Data Engineer

East Lansing, MI

$125K - $155K/yr

Data Engineer Job Type: Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

CFS

Senior Data Engineer

East Lansing, MI

$125K - $155K/yr

Data Engineer Job Type: Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

CFS

Senior Data Engineer

East Lansing, MI · On-site

$125K - $155K/yr

Data Engineer Job Type: Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$110K - $132.10K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

New

HTC Global Services Inc

Data Engineer

Grand Rapids, MI

$110K - $132.10K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

New

Talent Groups

Azure Data Engineer

Grand Rapids, MI · On-site

$106.30K - $127.70K/yr

Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience working with complex data flows ...

New

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ...

Pwc

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

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

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Overnight Databricks Data Engineer information

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

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 are some unique challenges faced by Overnight Databricks Data Engineers, 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 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 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 Michigan? The most popular types of Databricks Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Overnight Databricks Data Engineer jobs? Cities in Michigan with the most Overnight Databricks Data Engineer job openings:
Overnight Databricks Data Engineer jobs near you
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

Detroit, MI • On-site

$103.30K - $141.80K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Senior Databricks Data Engineer to design, build, and optimize scalable data engineering solutions. The role involves leading the implementation of enterprise data pipelines and advising stakeholders on architecture decisions to drive business outcomes.
Responsibilities:
• Lead the design and implementation of enterprise data pipelines, data models, and cloud-based data architectures using Databricks
• Build and optimize batch and streaming data solutions that support analytics, reporting, and operational use cases
• Advise stakeholders on platform capabilities, architecture decisions, governance controls, and delivery approaches aligned to business objectives
• Drive engineering quality through automation, continuous integration/continuous deployment (CI/CD), performance tuning, and scalable delivery practices
• Contribute to technical best practices, evaluate emerging platform capabilities, and support teams delivering modern data engineering solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams
• 5+ years of experience in data engineering with a focus on Databricks deployed on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF) and dimensional modeling
• Experience building batch and incremental data pipelines using PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, or Apache Airflow
• Experience with Databricks Unity Catalog, fine-grained security controls, and continuous integration/continuous deployment (CI/CD) pipeline deployment
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Engineering, or a related field
• Experience with one or more cloud ecosystems, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience tuning Databricks or Apache Spark workloads for performance and cost efficiency
• Experience with Databricks Lakeflow
• Experience supporting artificial intelligence or machine learning use cases on cloud data platforms
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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