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Weekend Data Engineering Jobs in Michigan (NOW HIRING)

FastTek

Data Engineer

Dearborn, MI

$105.20K - $126.30K/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 ...

FastTek

Data Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Business Intelligence * Front End (Software Engineering) * Software Development * Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * Engineer 3 ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

CNS Healthcare

Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

... data engineering capabilities, including secure use of tools such as GitHub Copilot, Open Code, Azure OpenAI, OpenAI, Anthropic, or other approved enterprise AI services. • Help implement secure ...

New

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Megan soft Inc

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ Years Experience Required: * 8 years of professional experience in Data engineering, data product development and software product launches

Megan soft Inc

Data Engineer (W2 Position)

Dearborn, MI · On-site

CA$50 - CA$55/hr

Role: Data Engineer (W2 Position) Location: Dearborn, MI - Hybrid (4 days in office) Duration: 12 ... System Design, Systems Engineering, Testing, SaaS, Workforce Management, Software Documentation ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI

$105.50K - $126.60K/yr

... data engineering activities like writing scripts and automating tasks Ensure optimum performance and identify improvement opportunities Skills RequiredCloud Architecture, Google Cloud Platform ...

Western Michigan University

IT Data Engineer

Kalamazoo, MI · On-site

$65.46K - $76.39K/yr

Contribute to standards, best practices, and governance frameworks for data engineering * All other duties as assigned Requirements To perform this job successfully, an individual must be able to ...

RHP Properties

Data Platform Engineer

Farmington Hills, MI · On-site

$112.70K - $135.30K/yr

This position combines data architecture, engineering, and platform ownership, requiring both strategic thinking and hands-on implementation. The successful candidate will design data models, build ...

RHP Staffing

Data Platform Engineer

Farmington, MI

$112.70K - $135.30K/yr

This position combines data architecture, engineering, and platform ownership, requiring both strategic thinking and hands-on implementation. The successful candidate will design data models, build ...

Stefanini

Data Engineer

Dearborn, MI

$105.50K - $126.60K/yr

... engineering activities like writing scripts and automating tasksEnsure optimum performance and identify improvement opportunities Experience Required4+ Years of experience in Data ...

Deloitte

Manager - Data Science / Data Lake

Detroit, MI · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration * Working with ...

New

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI

$105.50K - $126.60K/yr

Lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices. By collaborating with cross ...

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Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

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.

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:
Weekend Data Engineering jobs near you

Healthcare Data Engineer (Brighton MI Office)

CommonSail Investment Group

Brighton, MI • On-site

$109.90K - $131.90K/yr

Full-time

Posted 12 days ago

Job description

Data Engineer
CommonSail Investment Group
Location: Brighton, Michigan
Overview: As a Data Engineer, you will design, build, and maintain the data infrastructure within CommonSail Investment Group. You will work at the intersection of senior housing data, healthcare operations data and modern data engineering - building robust pipelines, maintaining our Snowflake cloud data lake, developing APIs, and partnering with IT and data professionals to ensure the right data reaches the right people at the right time. This role is pivotal in ensuring that CommonSail's data assets are accurate, secure, accessible, and leveraged effectively to support strategic business initiatives and operational excellence.
Qualifications:
  • Bachelor's degree in Information Systems, Computer Science, Data Science, or a related field.
  • 3 - 7 years of experience in data engineering, data infrastructure, API development, data integration, and data governance.
  • Strong command of SQL and Python for data transformation, automation, and pipeline development
  • Demonstrated hands-on experience with Snowflake, including performance tuning, clustering, and access control.
  • Proficiency with dbt (data build tool) for transformation layer development, testing, and documentation.
  • Experience building and consuming RESTful APIs, with working knowledge of authentication patterns (OAuth 2.0, API keys).
  • Knowledge of data privacy, compliance, and security standards (e.g., HIPAA, GDPR).
  • Strong communication, problem-solving, and analytical skills.
  • Experience in healthcare, long-term care, or related regulated industries - familiarity with PointClickCare, MatrixCare, or similar EHR/EHR-adjacent systems is a strong plus.

Primary Responsibilities:
  • Data Pipelines: Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery of healthcare operations data from multiple client systems and third-party sources.
  • Data Architecture & Administration: Architect and administer the organization's Snowflake data warehouse, including database design, role-based access control, query optimization, and cost governance.
  • DBT: Develop and maintain dbt models for data transformation, testing, documentation, and lineage across all data domains (census, financials, clinical, acquisition targets).
  • API Development: Build and maintain RESTful APIs and integration services that connect source systems, internal tools, and analytical platforms.
  • Data Lake Administration: Design and implement data lake strategies for raw data storage, archival, and cost-efficient processing of high-volume datasets.
  • Data Modeling: Create and enforce data modeling standards - dimensional modeling, star/snowflake schemas, and normalized models - across the enterprise data warehouse.
  • Stakeholder Collaboration: Partner with business leaders and technical teams to align data strategy with organizational goals, translating requirements into scalable solutions.
  • Performance Monitoring: Monitor pipeline health, establish alerting and data quality checks, and resolve incidents with urgency and rigor.
  • Data Support: Support business operation engagements with data room analysis, source system evaluation, and integration planning for EHR entities.
  • Data Engineering Practices: Champion data governance, documentation, and best practices across the data engineering function.

Skills:
  • Cloud Data Warehousing (Snowflake): Design, administer, and optimize cloud-based data warehouses, including schema design, performance tuning, cost governance, security, and role-based access control.
  • Data Transformation & Modeling: Develop scalable transformation layers using dbt and SQL, implementing dimensional and normalized models to support analytics and downstream consumption.
  • Programming & Analytics: Use Python and SQL for data transformation, automation, pipeline logic, and analytical problem-solving across batch and event-driven workloads.
  • Data Pipelines & Orchestration (ETL / ELT, Airflow or Similar): Build, schedule, and monitor ETL/ELT pipelines with orchestration tools to ensure timely, accurate, and resilient data processing.
  • Data Ingestion & Integration (Fivetran, Airbyte, APIs): Ingest data from SaaS platforms, databases, and systems using managed connectors and custom integrations, ensuring scalability and data reliability.
  • API Development & Data Services (REST APIs, JSON): Design and consume RESTful APIs to exchange data between systems, using standard formats such as JSON and secure authentication patterns.
  • Cloud Platforms & Supporting Technologies (AWS, Azure, GCP): Leverage major cloud platforms and supporting services for storage, compute, networking, and security to build flexible and scalable data solutions.
  • Data Storage Formats & Lakes (Data Lakes, Parquet, Avro): Implement data lake architectures using efficient, columnar storage formats to support large-scale analytics, archival, and cost-effective querying.
  • Development Practices & Tooling (Git, VS Code, Database Administration): Apply modern development workflows using version control, IDEs, and database administration best practices to maintain high-quality, well-documented data systems.

General Working Conditions: While performing the duties of this job, the employee is required to communicate effectively with others, sit, stand, walk, and use their hands to handle the keyboard, telephone, paper, files, and other equipment and objects. The employee is occasionally required to reach with hands and arms. This position requires the ability to review detailed documents and read computer screens. The employee will occasionally lift and/or move up to 25 pounds. The work environment requires appropriate interaction with others. The noise level in the work environment is moderate. Occasional travel to different locations may be required.
Equal Opportunity Employer
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