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Data Collection Jobs in Hamtramck, MI (NOW HIRING)

TalentFish

Data Entry Specialist

Farmington Hills, MI · On-site

$20 - $25/hr

Training will be provided for the tariff recovery process, data collection methods, and required reporting documentation. Compensation Information The expected salary range for this position is $20 ...

Stefanini

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. Plan, design, build, and maintain scalable data solutions ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis * Plan, design, build and maintain scalable data solutions ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analytics. * Develop and support scalable data pipelines, data ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis * Plan, design, build and maintain scalable data solutions ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. * Plan, design, build, and maintain scalable data ...

HTC Global Services Inc

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. Plan, design, build, and maintain scalable data solutions ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. * Plan, design, build, and maintain scalable data ...

Actalent

Controls Simulation Engineer

Warren, MI · Hybrid

$45 - $50/hr

Design and document the Throughput data collection for future installations and ensure it aligns with the Throughput Functional View (TFV). * Ensure proper implementation and functioning of ...

Sky Systems, Inc.

Be Seen First

Test Driver

Detroit, MI · On-site

$19/hr

EV Test Driver - Bicycle Lane Data Collection Location: Ann Arbor / Detroit, MI + Travel to Nearby Metropolitan Areas Duration: Approximately 2 weeks Schedule: Monday-Friday | 40 hours/week | 8 hours ...

New

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All JobsData Collection JobsData Collection Jobs in Hamtramck, MI

Data Collection information

See Hamtramck, MI salary details

$14

$23

$28

How much do data collection jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data collection in Hamtramck, MI is $23.10, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $23.70 per hour, depending on experience, location, and employer.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.

What are the key skills and qualifications needed to thrive as a data collection specialist?

To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.

What are some common challenges faced by professionals in data collection roles, and how can they be overcome?

Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.

What is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing data to derive insights and support decision-making

Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.

How much money do data collectors make?

Data collectors typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the data collection tasks. Some positions may offer additional incentives or bonuses for meeting targets or working in specialized environments.

Is data collection a good job?

Data collection jobs involve gathering information for research, marketing, or analysis purposes and often require attention to detail and basic technical skills. These roles can be part-time or full-time, with varying pay and job stability depending on the industry and employer. They are generally suitable for individuals interested in data, research, and working in flexible or remote environments.

What are popular job titles related to Data Collection jobs in Hamtramck, MI?

For Data Collection jobs in Hamtramck, MI, the most frequently searched job titles are:

What cities near Hamtramck, MI are hiring for Data Collection jobs?

Cities near Hamtramck, MI with the most Data Collection job openings:

Data Collection jobs near you
Infographic showing various Data Collection job openings in Hamtramck, MI as of August 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,046 per year, or $23.1 per hour.

Data Engineering Engineer

IPS Technology Services

Dearborn, MI • On-site

$70 - $95/hr

Other

Posted 9 days ago

Job description

Full time | IPS Technology Services | United States

Posted On 08/14/2026

Job Information

Job Opening ID ZR_1867_JOB

$60/hr on W2

Job Opening Status In-progress

Technology

City Dearborn

State/Province Michigan

48120

Job Description

Job Location: Dearborn, MI

Position Description:

  • Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately

Key Responsibilities:

  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • 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 opportunities

Skills Required:

  • GCP Cloud Run, KAFKA, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, Big Query, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API

Experience Required:

Education Required:

  • Bachelor's Degree

Additional Information:

  • Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources.
  • Ensure data is standardized, high-quality, and optimized for analytical use.
  • Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines.
  • Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
  • Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations.
  • Implement and manage robust data governance policies, access controls, and security best practices to protect sensitive data.
  • Employ efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).
  • Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
  • Collaborate effectively with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.
  • Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
  • Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities.
  • Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability
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IPS Technology Services logo

About IPS Technology Services

Sourced by ZipRecruiter

In today's Tech driven world, Businesses and Organizations need to stay on the cutting edge to thrive and outshine the competition. We at IPS Technology Services fully understand the need today's business has for a full spectrum of IT services delivered in a Transparent, Cost effective way. Our dedicated team has many combined years of experience in several tech sectors, allowing us to offer a vast array of services, including IT staffing, CIO advisory, Digital marketing, Systems development and both Healthcare and engineering IT. In addition, we even offer IT outsourcing services to clients who need operation support for older systems that they still rely on. We will never force you to abandon the system that works for your needs–at IPS Technology Services, we fully understand that each company is different and there is no one-size fits all solution.

Company size

11 - 50 Employees

Headquarters location

Troy, MI, US

Year founded

2004

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