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Weekend Data Engineering Jobs in Michigan (NOW HIRING)

CNS Healthcare

Data Engineer

Detroit, MI · On-site

$108K - $129K/yr

Data Engineering & Pipeline Development * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform healthcare data from EHRs, billing systems, quality systems, HR ...

CNS Healthcare

Data Engineer

Detroit, MI

$108K - $129K/yr

Data Engineering & Pipeline Development * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform healthcare data from EHRs, billing systems, quality systems, HR ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Work closely with the Data Engineering Lead to estimate levels of effort for platform changes and partner with the business community to set priorities across multiple concurrent initiatives. * Own ...

FastTek

Data Engineer

Dearborn, MI · 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 ...

FastTek

Data Engineer

Dearborn, MI · 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 ...

Ford Motor Company

Data Engineer

Dearborn, MI

$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 ...

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $92,196/yr - $113,890/yr plus bonus Location: Ada, MI (onsite) What we're looking for: We are seeking an experienced Data ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Must have a background in Software Engineering, Data Engineering, or Embedded Systems. * 3+ Years in "Code-Based" Analytics: Demonstrated experience using Python, GitHub, and CI/CD pipelines to ...

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

... Data Engineering components. * Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with ...

Deloitte

Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Strong proficiency in Python for data engineering and automation. * Experience with RDBMS technologies such as DB2 and Teradata . * Exposure to Big Data ecosystems and distributed data processing.

Cisive

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Qualifications: * (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies. * (Required) Bachelor's degree in Computer Science, Data Science, Information ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices. Priorities can change in a ...

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. Key responsibilities * Build AI-ready data pipelines: Design ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills Required: * GCP

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills Required: * GCP

Ford Motor Company

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a ...

Megan soft Inc

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ Years JD: * 8+ years Data engineering, data product development and software product launches * Must have GCP Data Engineer and Architect ...

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Weekend Data Engineering information

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

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 jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
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
Data Engineer

Data Engineer

CNS Healthcare

Detroit, MI • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

The Data Engineer will design, build, and maintain secure, scalable data pipelines, integrations, and data platforms that support CNS Healthcare's clinical, operational, quality, and billing functions.
What we are looking for:
CNS Healthcare, a leading provider of Mental Health Services in southeast Michigan is seeking a Data Engineer to join our dynamic and fast-paced team. The Data Engineer is responsible for enabling secure exchange of healthcare data, particularly involving State of Michigan CHAMPS systems for direct billing, while ensuring strict adherence to HIPAA and other regulatory requirements governing PHI/PII.
As a member of our team, you will have an opportunity to make a meaningful impact on our community and the lives of the individuals that we serve. CNS Healthcare provides a robust total rewards program to support our team members and their loved ones. We've shared some highlights below, but you can visit the benefits guide posted on our careers page to learn more!
  • Comprehensive medical insurance options
  • Employer-paid benefits including dental, vision, life, and short-term disability insurance
  • Retirement program with generous company default contribution and match
  • Generous PTO program starting at 18 days annually
  • 16 paid holidays, including 3 floating holidays
  • Paid parental leave
  • Student loan forgiveness eligibility, including Public Service Loan Forgiveness (PSLF), HRSA, and more

Interested in learning more about this role?
Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform healthcare data from EHRs, billing systems, quality systems, HR systems, and external partners.
  • Ensure high data quality through validation, cleansing, reconciliation, observability, and monitoring processes.
  • Support real-time and batch data workflows for clinical reporting, analytics, quality measures, CCBHC reporting, and billing operations.
  • Build reusable data assets and pipelines that support operational reporting, revenue cycle analytics, quality bonus reporting, and executive dashboards.
Proactive Solutions Platform Support & Production Readiness
  • Support and extend the Proactive Solutions data platform and related reporting tools, including the Productivity Report and future data mart / analytics capabilities.
  • Partner with Proactive Solutions, CNS IT leadership, and the data team to move the platform from development to production in a secure, supportable manner.
  • Help define and implement production support practices, including deployment procedures, release management, environment configuration, monitoring, incident response, and issue escalation.
  • Ensure the platform can be maintained by CNS over time through clear documentation, knowledge transfer, runbooks, and repeatable support processes.
  • Design solutions that allow CNS to evolve toward a longer-term architecture without requiring unnecessary rebuilds.
AI, LLM, and Agentic Data Engineering Enablement
  • Support AI-assisted and agentic 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 BYOK/API-key patterns where appropriate, including credential management, access controls, audit logging, usage monitoring, and vendor compliance requirements.
  • Collaborate with IT leadership and vendors to ensure that any AI-enabled coding, data query, or analytics capabilities are implemented in a HIPAA-compliant and security-approved manner.
  • Assist in evaluating AI tool performance, cost, security posture, and operational fit for CNS's data engineering and analytics workflows.
  • Develop practical patterns for using AI safely to accelerate SQL development, pipeline generation, documentation, test generation, data quality checks, and troubleshooting.
Healthcare Data Integration & Interoperability
  • Build and maintain secure interfaces and integrations with Michigan CHAMPS (Community Health Automated Medicaid Processing System) for claims submission, eligibility verification, reconciliation, and related Medicaid workflows.
  • Develop APIs and data exchange mechanisms using healthcare standards such as HL7, FHIR, and X12 EDI transactions for claims, remittance, and related processes.
  • Ensure reliable, compliant data exchanges with payers, state systems, county partners, and partner organizations.
  • Collaborate with clinical, billing, quality, finance, and compliance stakeholders to translate business and regulatory requirements into reliable data flows.
Data Security, Compliance & Governance (PHI/PII)
  • Implement and maintain robust data protection controls to safeguard Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Ensure compliance with HIPAA, HITECH, State of Michigan data security requirements, Medicaid requirements, and CNS internal security policies.
  • Apply encryption, tokenization, access controls, audit logging, least-privilege access, secure secret management, and data masking techniques.
  • Partner with compliance, security, and vendor teams on risk assessments, audits, vendor reviews, and AI governance requirements.
  • Ensure sensitive data is not exposed to unapproved AI models, developer tools, repositories, logs, prompts, or third-party services.
Data Architecture & Modeling
  • Design and maintain secure and scalable data models supporting clinical, financial, quality, operational, and executive reporting.
  • Optimize data storage and retrieval across data warehouses, data marts, data lakes, cloud services, and operational databases.
  • Support reporting tools and analytics platforms used for regulatory reporting, CCBHC metrics, quality bonus measures, productivity reporting, and revenue cycle management.
  • Define standards for data models, naming conventions, lineage, metadata, data definitions, and source-to-target mapping.
Infrastructure, Reliability, Backup/DR & Performance Management
  • Manage and optimize data infrastructure across cloud and/or on-premises environments, ensuring reliability, scalability, performance, and cost-effectiveness.
  • Monitor pipelines, integrations, AI-enabled services, and platform components for performance, failures, anomalies, and security events.
  • Troubleshoot issues and implement improvements to enhance system resilience and reduce operational risk.
  • Help design and validate backup, disaster recovery, and high availability approaches for critical data platform components.
  • Support environment separation, including development, test, staging, and production patterns where appropriate.
Collaboration, Documentation & Knowledge Transfer
  • Collaborate with clinical, billing, finance, quality, compliance, IT, vendor, and executive stakeholders to understand data requirements and workflows.
  • Document system architectures, data flows, integration points, AI/LLM configurations, security controls, runbooks, and operational support procedures.
  • Provide technical expertise in healthcare data exchange, compliant AI adoption, and data engineering best practices.
  • Train and mentor members of the data team on platform support, SQL development patterns, pipeline troubleshooting, source control practices, and safe use of AI-enabled development tools.
Required Qualifications
  • Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or related field, or equivalent professional experience.
  • 10 years of experience in data engineering, data architecture, software engineering, analytics engineering, or a related technical role.
  • Strong programming skills in Python, SQL, and/or Java/Scala.
  • Experience with ETL/ELT tools and modern data platforms such as Azure Data Factory, SSIS, Databricks, dbt, Synapse, Fabric, or similar technologies.
  • Knowledge of relational databases, NoSQL databases, data modeling techniques, and data warehouse / data mart design.
  • Experience with source control, release management, deployment practices, and production support for data or software platforms.
  • Ability to create clear technical documentation, runbooks, and support procedures for systems that must be maintained by internal teams.
  • Proficiency with Power BI or similar data analytics application
  • Ability to explain technical issues to technical and nontechnical internal and external stakeholders.

Preferred Education, Skills, and Experience
  • Master's degree in health informatics, computer science, data science or similar

About CNS Healthcare:
CNS Healthcare (CNS) is a non-profit, Certified Community Behavioral Health Clinic (CCBHC) with seven clinics and two clubhouses in Southeastern Michigan. CNS employs approximately 500 employees, paraprofessionals, and support staff, delivering services to more than 7,000 people annually.
  • CNS provides comprehensive integrated health services in partnership with several community organizations, and uses a patient-centered approach to identify, support, and promote the overall health of children, adolescents, adults, and older adults.
  • Visit our website to learn more about our mission, vision, and values!

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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