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Remote Data Processing Jobs in Detroit, MI (NOW HIRING)

IT Labs

Lead Data Engineer

Detroit, MI · Remote

$117K - $140K/yr

About the Role At IT Labs, we are looking for an experienced Lead Data Engineer to support one of the most innovative companies in the digital health space. Our client is transforming healthcare

Apply Early

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data

Troutman Pepper

Senior Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

We are always seeking talented, motivated, growth-minded, and creative individuals. Our firm is committed to providing employee support and advancement, while embracing inclusion and innovation as

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site +1

$160K - $190K/yr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life--from advancing space exploration and life-saving medical devices to building autonomous electric

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All JobsRemote Data Processing JobsRemote Data Processing Jobs in Detroit, MI

Remote Data Processing information

See Detroit, MI salary details

$12

$20

$34

How much do remote data processing jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for remote data processing in Detroit, MI is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.12 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

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

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are popular job titles related to Remote Data Processing jobs in Detroit, MI? For Remote Data Processing jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Detroit, MI look for? The top searched job categories for Remote Data Processing jobs in Detroit, MI are:
Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Detroit, MI as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,730 per year, or $20.1 per hour.
Lead Data Engineer

Lead Data Engineer

IT Labs

Detroit, MI • Remote

$117K - $140K/yr

Full-time

Posted 15 days ago

Be an early applicant

Job description

About the Role

At IT Labs, we are looking for an experienced Lead Data Engineer to support one of the most innovative companies in the digital health space.

Our client is transforming healthcare through a technology-driven platform that connects employers and patients with leading medical providers, helping reduce costs and improve outcomes. As they continue to scale, they are investing heavily in modernizing their data infrastructure and analytics capabilities.

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross-functional teams, you will help deliver reliable, high-quality data that powers business decisions and supports the company's growth.
What You'll Do

  • Lead the design, development, and optimization of scalable data platforms and pipelines.

  • Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.

  • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.

  • Develop robust integrations with enterprise applications, APIs, and external data providers.

  • Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance.

  • Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.

  • Implement data quality, validation, monitoring, and observability frameworks.

  • Establish and promote best practices for data governance, lineage tracking, metadata management, and security.

  • Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or equivalent.

  • Mentor other engineers and contribute to architectural decisions, technical standards, and engineering best practices.

Ensure data platforms meet performance, reliability, scalability, and regulatory requirements.
Required Skills

  • 7+ years of experience in data engineering within cloud or hybrid environments.

  • Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.

  • Advanced SQL skills and proficiency with data transformation techniques.

  • Strong Python programming skills for data processing and automation.

  • Hands-on experience with Snowflake, including:

    • Data modeling

    • Snowpipe

    • Query optimization

    • Schema design

  • Experience migrating from BigQuery or similar columnar data warehouse technologies.

  • Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.

  • Experience building enterprise-grade API and source-system integrations.

  • Experience implementing data quality and validation frameworks.

  • Good understanding of:

    • Data governance

    • Data lineage

    • Access control and security best practices

  • Strong problem-solving and communication skills.

  • Ability to work effectively in a collaborative, cross-functional environment.

Nice to Have

  • Experience with Databricks, including:

    • Delta Lake

    • Unity Catalog

    • Spark-based pipelines

  • Experience with Spark, Scala, or PySpark.

  • Familiarity with Tableau.

  • Understanding of HIPAA and HITRUST data handling practices.

  • Experience with dbt (data build tool) for transformation layer management.

  • Experience working within healthcare, insurance, or regulated industries.

Working Conditions

  • Full-time, 40h/week

  • US-based — US citizenship is required

  • Remote

  • Contract or B2B arrangement

Our values

We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect.

About IT Labs

Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams around the world - the UK, the Netherlands, Brazil, Argentina, Serbia, Croatia, BIH, Montenegro, North Macedonia, and the Middle East. We are constantly growing, and we would love for you to become part of our team!