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Remote Data Integration Developer Jobs in Detroit, MI

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

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

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 ...

Senior GIS Integration Engineer

Ann Arbor, MI · On-site +1

$110K - $145K/yr

Our flagship product, Geonexus Integration Platform (GIP), synchronizes data between GIS and ... Remote-friendly, with occasional travel (typically under 25%) for customer go-lives, workshops, and ...

Our flagship product, Geonexus Integration Platform (GIP), synchronizes data between GIS and ... Remote-friendly, with occasional travel (typically under 25%) for customer go-lives, workshops, and ...

Cloud Data Engineer

Detroit, MI · On-site +1

$113K - $136K/yr

Strong understanding of data strategies and practices, such as continuous integration, regression ... Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and ...

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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 Jun 10, 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.
Palantir, Data Engineer

Palantir, Data Engineer

Strategic Employment

Detroit, MI • Remote

$113K - $135K/yr

Other

Posted 6 days ago


Job description

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for someone to work closely with stakeholders on low code data engineering solutions.

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important.

This is a full-time, direct hire role.

Ideal candidate will have:

  • 1+ years in stakeholder-facing Data Engineering/Data Analytics position
  • Consulting experience
  • Databricks, Foundry, or Snowflake
  • Python, PySpark, TypeScript

Location: HQ in Michigan, occasional travel required


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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