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Remote Data Integration Developer Jobs in Detroit, MI

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ...

Techcliff Group

Mulesoft Developer

Dearborn Heights, MI · Remote

$51.50 - $68.25/hr

... Data Cloud. Expertise in developing RAML based RESTful APIs and SOAP web services in a SOA ... Expertise in development of various flows in Any Point Studio platform and integration with APIs ...

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Principal Data Engineer Company: Birdi Work Type: Remote Employment: Full Time Location: US ... Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD ...

fng

Software Developer

Warren, MI · On-site +1

This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ... integrations, and plant-floor data. * Work with production, quality, engineering, IT, and plant ...

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All JobsData Integration Developer JobsRemote Data Integration Developer JobsRemote Data Integration Developer Jobs in Detroit, MI

Remote Data Integration Developer information

See Detroit, MI salary details

$10

$51

$83

How much do remote data integration developer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for remote data integration developer in Detroit, MI is $51.16, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $57.60 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

What are some common challenges Remote Data Integration Developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is a Remote Data Integration Developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.
What are the most commonly searched types of Data Integration Developer jobs in Detroit, MI? The most popular types of Data Integration Developer jobs in Detroit, MI are:
Remote Data Integration Developer jobs near you

Data Architect (Remote)

Delan Associates, Inc

Auburn Hills, MI • Remote

$65.25 - $84/hr

Full-time

Posted 7 days ago

Job description

Position Description

The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required.

General

Must be self-motivated and able to work independently while consistently meeting deadlines.

Strong business and technical verbal and written communication skills.

Experience creating metrics and dashboard analytics.

Strong working knowledge of different analysis tools and techniques.

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects.

Strong SQL skills.

Functions Performed

This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position.

General Functions/Responsibilities

Architect and design business intelligence solutions for accessing and analyzing data and metadata.

Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures.

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques.

Experience architecting and developing database solutions using both OLAP and OLTP technologies.

Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC).

Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates.

Develop and maintain technical documentation.

Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.