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Cdc Data Jobs in Michigan (NOW HIRING)

Converys

Data Architect

East Lansing, MI · On-site

$96K - $130K/yr

Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns. * Implement data quality rules, validation frameworks, and reconciliation logic. * Optimize ...

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to ...

RICEFW Technologies Inc

Programmer Analyst 3

Okemos, MI · On-site

... data manipulation, printing, and other processes. * This position will help in the support the CDC I-Billing which is the web application that CDC providers use to submit their billing information.

My3Tech

Programmer Analyst 3

Lansing, MI · On-site

... data manipulation, printing, and other processes. This position will help in the support the CDC I-Billing which is the web application that CDC providers use to submit their billing information. CDC ...

Codetech Inc

Programmer Analyst 3

Lansing, MI · On-site

... data manipulation, printing, and other processes. * This position will help in the support the CDC I-Billing which is the web application that CDC providers use to submit their billing information.

Goli Tech

Programmer Analyst 3

Lansing, MI · On-site

... data manipulation, printing, and other processes. * This position will help in the support the CDC I-Billing which is the web application that CDC providers use to submit their billing information.

Resource Point LLC

.Net Developer .Net & Java

Lansing, MI · On-site

$51.75 - $67/hr

... data manipulation, printing, and other processes. * This position will help in the support the CDC I-Billing, which is the web application that CDC providers use to submit their billing information.

Gordon Food Service

Senior Data Engineer

Wyoming, MI · Hybrid

$96K - $130K/yr

Deep experience with Change Data Capture (CDC) processes (Qlik Replicate preferred) and relational database management/optimization (specifically PostgreSQL and SQL Server). * Highly experienced in ...

Trilyon, Inc.

Programmer Analyst 3 (Hybrid)

Lansing, MI · On-site

... data manipulation, printing, and other processes. * This position will help in the support of the CDC I-Billing which is the web application that CDC providers use to submit their billing information.

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All JobsCdc Data JobsCdc Data Jobs in Michigan

Cdc Data information

What are some common challenges faced by professionals working with CDC data, and how can they be addressed?

Professionals working with CDC data often encounter challenges such as managing large and complex datasets, ensuring data privacy, and interpreting evolving public health trends. Addressing these challenges involves staying updated on data management best practices, using secure data handling protocols, and collaborating closely with epidemiologists and analysts to accurately interpret findings. Regular training on CDC data systems and effective communication within multidisciplinary teams can also help overcome these obstacles and ensure high-quality public health insights.

What qualifications do you need to work for the CDC?

To work for the CDC, candidates typically need at least a bachelor's degree in public health, epidemiology, biology, or a related field; advanced degrees may be required for certain roles. Relevant experience, strong analytical skills, and proficiency with data analysis tools are also important. Some positions may require security clearances or specialized certifications depending on the job responsibilities.

What are the key skills and qualifications needed to thrive as a CDC data analyst?

To thrive as a CDC Data Analyst, you need strong analytical skills, a background in public health or statistics, and experience with data interpretation, typically supported by a relevant degree. Proficiency in statistical software (such as SAS, R, or SPSS), data visualization tools, and data management systems is essential. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for translating data findings to diverse stakeholders. These skills ensure accurate public health reporting and support data-driven decision-making to improve health outcomes.

What is the difference between Cdc Data vs Data Analyst?

AspectCdc DataData Analyst
Required CredentialsTypically requires public health, epidemiology, or data management certificationsRequires degrees in statistics, data science, or related fields; certifications like CAP or Microsoft Power BI are common
Work EnvironmentGovernment health agencies, public health departments, research institutionsCorporate, healthcare, finance, or consulting firms
Employer & Industry UsageUsed mainly in public health and government sectors for disease tracking and health data managementUsed across various industries for data interpretation, reporting, and decision-making

While both roles involve data handling, Cdc Data focuses on public health data management within government agencies, whereas Data Analysts work across industries analyzing diverse datasets to support business decisions.

What are CDC data?

CDC data refers to the wide range of public health information collected, analyzed, and published by the Centers for Disease Control and Prevention (CDC). This data includes statistics on disease incidence, surveillance reports, health behaviors, and trends related to public health issues in the United States. Researchers, policymakers, and public health professionals use CDC data to inform decisions, track outbreaks, and improve health outcomes. The data is made available through various CDC platforms, such as CDC WONDER, Data.CDC.gov, and specific disease databases.

What jobs does the CDC offer?

The CDC offers a variety of jobs including epidemiologists, public health advisors, data analysts, health scientists, and program specialists. These roles often require relevant degrees, experience in public health or data management, and may involve working in research, policy development, or health communication environments.
What are popular job titles related to Cdc Data jobs in Michigan? For Cdc Data jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cdc Data jobs in Michigan look for? The top searched job categories for Cdc Data jobs in Michigan are:
What cities in Michigan are hiring for Cdc Data jobs? Cities in Michigan with the most Cdc Data job openings:
Cdc Data jobs near you
Infographic showing various Cdc Data job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Architect

Converys

East Lansing, MI • On-site

$96K - $130K/yr

Full-time

Posted 14 days ago

Job description

Position Summary

The Data Architect will help design, build, and evolve our nextgeneration enterprise data platform & data integration pipeline. This role is central to our transformation toward a modern, governed, cloudbased data ecosystem that supports all functions at Coverys (notably underwriting, claims, actuarial, finance, and enterprise analytics etc.)

The Data Architect will help define the architectural blueprint, establish data modeling standards, and guide the development of scalable, automated data pipelines in Snowflake. In addition to design of the architecture, this position will work closely with business and technology teams to ensure data is accurate, trusted, and available for advanced analytics, reporting, and operational decisionmaking.

Essential Duties & Responsibilities

Data Architecture & Modeling

  • Design and maintain enterprise data architecture aligned to business domains (Policy, Party, Claims, Billing, Underwriting, etc.).

  • Ensure data architecture design aligns to enterprise architecture standards & partners closely with Enterprise Architecture.

  • Develop canonical and semantic data models to support analytics, reporting, and operational use cases.

  • Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation.

  • Partner with business stakeholders to translate requirements into scalable data structures.

Data Engineering & Pipeline Development

  • Build ELT/ETL pipelines using modern cloud-native tools and frameworks.

  • Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns.

  • Implement data quality rules, validation frameworks, and reconciliation logic.

  • Optimize Snowflake workloads for performance, cost, and reliability.

Cloud Data Platform Leadership

  • Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption.

Governance, Standards & Best Practices

  • Work with Data Governance to establish data dictionaries, lineage, classification, data quality and stewardship models.

  • Ensure consistent use of canonical identifiers across systems and domains.

  • Promote data-as-a-product principles and guide teams toward reusable, scalable data assets.

Collaboration & Leadership

  • Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs.

  • Mentor SQL developers and analytics engineers transitioning into modern data engineering roles. Mentor and coach the data engineering team & lead the development of pipeline and architecture platforms.

  • Provide architectural oversight for major data initiatives across the enterprise.

  • Support evolving business needs, as applicable.

Education, Experience, Competencies & Values

  • Bachelor's degree in computer science or relevant field from an accredited college or university, required.

  • 3-5- years of experience in data architecture, data engineering, required.

  • Strong data modeling expertise (conceptual, logical, physical).

  • Hands-on experience designing enterprise data architectures.

  • Advanced ELT/ETL development experience (preferably cloud-native).

  • Deep experience with cloud data warehouses, ideally Snowflake.

  • Proficiency in Python for data engineering and automation.

  • Strong SQL skills and experience with large-scale data processing.

  • Experience with data quality frameworks, metadata management, and lineage.

  • Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration).

  • Experience in the insurance industry, preferred.

  • Snowflake certification, a plus.

  • Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar.

  • Knowledge of MDM, canonical modeling, and governance frameworks.

  • Experience with Power BI or other BI tools.

  • Qualified candidates must be eligible to work in the US without sponsorship or restriction.

Base salary range is $96,650 - 130,755. Individual compensation packages are based on a variety of factors that are unique to each candidate including location, skill set, experience, qualifications and education.

If you're a caring and customer focused individual who enjoys working with passionate team members, Coverys is the right company for you!

Apply