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Overnight Databricks Data Engineer Jobs in Michigan

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

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

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/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

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

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

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

... 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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/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 ...

... 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 ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer

Plymouth, MI

$109K - $130K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data 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.

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:

Lead Databricks Engineer / W2 position/12+yrs experience

VentureSoft Global

Detroit, MI • On-site

$93K - $123K/yr

Other

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


Job description

Lead Data Engineer – Databricks Data Modeling & Architecture
Location: Detroit, MI (Onsite)
Work Arrangement: 100% Onsite

Job Summary
We are seeking an experienced Databricks Data Engineer for a 6-month onsite contract engagement in Detroit, MI. The ideal candidate will design and maintain enterprise-grade data models and architectures across data warehouses, data lakes, and lakehouse platforms. This role combines hands-on data modeling expertise with architectural leadership, partnering with business and technology teams to deliver scalable, governed, and high-performance data solutions on Databricks and Microsoft Azure.

Key Responsibilities
Design Enterprise Data Models Develop and maintain conceptual, logical, and physical data models for data warehouses, data lakes, and lakehouse architectures using Databricks and modern data platforms.
Architect Scalable Data Solutions Design end-to-end data architectures leveraging Databricks, Delta Lake, Spark, and cloud platforms to support AI/ML and business intelligence initiatives.
Establish Data Governance & Standards Define data modeling standards, metadata management, data quality frameworks, and master data management governance processes to ensure trusted and compliant data assets.
Lead Data Integration & Optimization Architect and optimize batch, streaming, CDC, and ELT/ETL pipelines, ensuring high performance, scalability, efficiency, and reliability across enterprise data ecosystems.
Collaborate with Business & Technology Teams Partner with business stakeholders, data engineers, analysts, and AI/ML teams to translate requirements into scalable data products, reusable data domains, and enterprise-wide data solutions.

Required Skills & Qualifications
  • Databricks Lakehouse Architecture – proven hands-on design and implementation experience
  • Delta Lake, Unity Catalog, Lakeflow, Auto Loader
  • PySpark and SQL – strong development and optimization skills
  • Data Modeling – 3NF, Dimensional (Star/Snowflake), and Data Vault methodologies
  • Data Governance, Data Quality (DQ), and Metadata Management
  • Cloud Platform: Microsoft Azure (Azure Data Lake Storage, Azure Databricks, and related services)
  • Experience designing and optimizing batch, streaming, CDC, and ELT/ETL data pipelines
  • Strong understanding of data warehouse, data lake, and lakehouse design patterns
  • Excellent communication skills with the ability to engage both technical teams and business stakeholders

Preferred Qualifications
  • Databricks certification (e.g., Databricks Certified Data Engineer Professional or Data Architect)
  • Microsoft Azure certification (e.g., Azure Data Engineer Associate / Solutions Architect)
  • Experience supporting AI/ML and BI workloads on a lakehouse platform
  • Prior experience in an enterprise or large-scale data modernization program
  • Background in regulated or enterprise environments with formal governance requirements