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Weekend Data Engineering Jobs in Michigan (NOW HIRING)

Snowflake Data Engineer

Detroit, MI ยท On-site

$104K - $125K/yr

Roles and Responsibilities Technical Leadership and Data Engineering Lead end-to-end data warehousing projects using Snowflake, DataStage, and dbt , which are mandatory skills for this role. Design ...

API Data Vulnerability Engineer

Troy, MI ยท On-site

$107K - $128K/yr

Key Responsibilities API Vulnerability Data Engineering โ€ข Data Curation: Curate, normalize, and enrich API vulnerability data from multiple sources. โ€ข Risk Reporting: Develop and maintain ...

Data Engineer III

Dearborn, MI ยท On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation. * Develop and maintain scalable data ingestion and ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Data Engineering & Pipeline Development: * Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives * Develop and optimize ETL ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks.Ensure optimum performance and identify improvement ...

Azure Data Engineer

Ann Arbor, MI ยท On-site

$55 - $57/hr

... engineering workloads aligned to DNA (Data & Analytics) programs Collaborate with offshore teams, as applicable, to ensure end-to-end delivery Required Technical Skills Databricks - strong hands-on ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills RequiredGoogle Cloud ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $127K/yr

Data engineering, data product development and software product launches * At least three of the following languages: Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering ...

Data Engineer III

Dearborn, MI ยท On-site

$125 - $150/hr

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation. * Develop and maintain scalable data ingestion and ...

Staff Data Engineer

Warren, MI ยท On-site

$107K - $129K/yr

The role is anchored in data engineering and includes an additional data science profile to strengthen AI data enablement, experimentation support, and close collaboration with data scientists and ...

Staff Data Engineer

Warren, MI ยท Hybrid

$107K - $129K/yr

The role is anchored in data engineering and includes an additional data science profile to strengthen AI data enablement, experimentation support, and close collaboration with data scientists and ...

$104K - $125K/yr

What do you need to have? - Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline. - At least 1 year of experience in data engineering ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Data Engineering & Pipeline Development: * Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives * Develop and optimize ETL ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Showing results 21-40

Weekend Data Engineering information

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Michigan?

The most popular types of Data Engineering jobs in Michigan are:

What cities in Michigan are hiring for Weekend Data Engineering jobs?

Cities in Michigan with the most Weekend Data Engineering job openings:

Software Engineer, II - Data Engineering

Ann Arbor, MI โ€ข On-site

Torc Robotics
Truckingย โ€ขย 501 - 1,000 employees

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc's Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints-daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.
What You'll Do
We are seeking a Software Engineer with experience in implementing and maintaining Linux and cloud-based data management solutions who is ready to extend that experience. In this role you will be working closely with other engineers on the implementation of AWS-native data ingestion, ETL, and storage solutions that power data driven analytics, simulation, and ML training across the enterprise.
  • Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
  • Build and support scalable pipelines as part of Torc's Data Factory to delivery data for ML training at scale
  • Scale Torc's data lake through a distributed storage system, data crawling and discovery
  • Promote and protect the integrity of data through validation, versioning, data provenance, and governance
  • Support the expansion of Torc's data lake through acquisition of additional data sets from internal and external sources
  • Contribute to the design, architecture and delivery of cloud-based solutions
  • Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
  • Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles
  • Participate in the team's on-call rotation to support our deployed systems during business hours

Here's a list of some of the technologies we use to make all the above happen:
  • Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)
  • Linux / Bash
  • Docker
  • Terraform
  • Python
  • React/Javascript
  • On-Call Tooling (Datadog, AWS Cloudwatch)
  • CI/CD Tooling (Jenkins, GitHub Actions)

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;
  • Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.
  • Experience deploying, troubleshooting, monitoring and maintaining Linux systems
  • Experience building and maintaining workloads in public cloud environments
  • Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores
  • Practical experience with Linux and general bash scripting
  • Practical experience with Docker and containerization
  • Implementation of workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions)
  • A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code

Bonus Points
  • Strong organizational, time management, and communication skills working with a team orientation and collaborative style
  • Experience with the Databricks platform, particularly for serving data, visualizations and jobs
  • Experience with scaling data for ML and AI workloads using Ray
  • Experience with pandas, numpy and other Python-based data analysis libraries and tooling
  • Deep knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)
  • Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems
  • Own end-to-end architecture and delivery of cloud-based solutions.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102860
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD