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Cdc Data Jobs in Michigan (NOW HIRING)

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 ...

... 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.

... 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 ...

.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.

... 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.

... 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.

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 ...

... 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.

The position supports CDC operational systems where workflow accuracy, usability, and reliability ... Build applications that centralize program data, support historical records, and enable operational ...

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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 are the key skills and qualifications needed to thrive as a CDC Data Analyst, and why are they important?

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 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:
Infographic showing various Cdc Data job openings in Michigan as of June 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Data Engineer

Kanak Elite Services Inc

Okemos, MI • On-site

$103K - $124K/yr

Contractor

Posted 12 days ago


Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: DATA ENGINEER

LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED)

INTERVIEW: FACE TO FACE

EXPECTED JOINING TIME (2 WEEKS)

NEED PHOTO ID / LINKEDIN LINK

Description: 

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. 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 make it available to Customers to consume. The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. 

Responsibilities: 

  • Participates in the analysis and development of technical specifications, programming, and testing of 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 updating the enterprise standards when gaps are identified. 
  • Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. 
  • Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers. 
  • Follows standard change control and configuration management practices. 
  • Participates in 24-hour on-call rotation in support of the platform. 

Required Skills/Qualifications:

  • Database Platforms: Snowflake, Oracle, and SQL Server 
  • OS Platforms: RedHat Enterprise Linux and Windows Server 
  • Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. 
  • Experience creating and maintaining ETL processes that use Salesforce as a destination. 
  • Drive and desire to automate repeatable processes. 
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization. 

Desired Skills/Qualifications: 

  • Experience creating and maintaining solutions within Snowflake that involve internal file stages, procedures and functions, tasks, and dynamic tables.
  • Experience creating and working with near-real-time data pipelines between relational sources and destinations. 
  • Experience working with StreamSets Data Collector or similar data streaming/pipelining tools (Fivetran, Striim, Airbyte etc.).