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Remote Data Integration Developer Jobs in Missouri

$75K - $90K/yr

Working in a fully remote, async-first engineering environment, you will join a team that values ... You will also help integrate AI into engineering workflows, improving development efficiency ...

$38.75 - $53.50/hr

Working in a fully remote and agile setup, you will be part of a culture that values innovation ... Integrate systems and services using APIs, including REST, HTTP, and Microsoft Graph, and create ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable ...

However, the remote location must be within the US. How you'll spend your time: * Build technical ... Strong integration experience with core banking systems, CRM platforms, data platforms, and event ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare ...

$88K - $116K/yr

Experience integrating AI-powered features or working with AI-enhanced user experiences is highly ... Fully remote full-time opportunity with flexible work arrangements across Europe. * 28 days of paid ...

Remote, full-time employee opening within the U.S. for a talented NetSuite Developer. The Developer ... Experience using JSON to transport and store data Preferred Skills: * NetSuite rewrite experience a ...

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Remote Data Integration Developer information

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 cities in Missouri are hiring for Remote Data Integration Developer jobs? Cities in Missouri with the most Remote Data Integration Developer job openings:
Remote Sensing Scientist - Exploitation Specialist

Remote Sensing Scientist - Exploitation Specialist

Leidos

Saint Louis, MO • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

55th of 426 rated business services


Job description

Leidos is actively interviewing for an experienced and talented Remote Sensing Scientist - Exploitation Specialist, to join our team in St. Louis, MO.
Job Summary
Provide the customer with remote sensing support to develop processes using remote methods, to include advanced knowledge of Interferometric Synthetic Aperture Radar (lnSAR) processing and analysis and other remote sensing methods and advise on the Implementation of the processes in the unclassified cloud environment.
Primary Responsiblities
Develop processes using remote methods, including Interferometric Synthetic Aperture Radar (lnSAR), plus other remote sensing methods or existing data and services, to operate as a tipping and queuing mechanism for geodetic survey requirements, and once viable processes are established, to guide the implementation of those processes in the unclassified cloud environment.
  • Advise customer and Subject Matter Experts (SMEs) on the capabilities and use of lnSAR and other remote sensing methods, including for the purposes of change detection.
  • Coordinate with customer Senior GEOINT Officers, Requirements Manager, Mission Managers, Tech Team, and Team Leads as needed to solicit input on technical requirements, including tipping and queuing thresholds for primary Intelligence Mission Data Plan (IMDP) products, and process accuracy assessment. '
  • Utilize remote sensors and platforms, and associated processing and analysis tools, to establish high precision, high accuracy change detection methods for use in tipping and queuing of geodetic survey requirements or other geoscientific applications, including natural hazard analysis.
  • Provide a statistical analysis of output data quality and uncertainties.
  • Evaluate emerging data, services, and sensors for inclusion in the 1f process.
  • Solicit post-deployment feedback from the Geodetic Surveys Requirements Manager, Mission Manager, Tech Team, and Team Leads, and refine the process as needed.
  • Create or provide revisions to Standard Operating Procedures (SOPs}, geodetic standards, and other documentation related to process development, standardization, or implementation in coordination with the customer's SMEs and standards personnel.
  • Brief progress weekly at customer Staff Meeting, during Division Updates to customer, and in other forums as requested.
  • Identify additional data sources or optimization methods for Geodetic Surveys processes and procedures using remote sensing methods, and assist with integration efforts and with other internal and external partners.
  • Educate Geodetic Surveys personnel on the process and its strengths and limitations, and demonstrate capabilities as requested.
  • Ensure accessibility of data from geographically separated branches, and by team leads in the field.

Basic Qualifications
  • Typically requires a BA degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience.
  • Advanced knowledge of remote sensor and platform capabilities, including Synthetic Aperture Radar sensors and platforms.
  • Minimum of 10 years' experience processing and analyzing Interferometric Synthetic Aperture Radar (lnSAR), to include image splitting, coregistration, interferogram generation, coherence estimation, debursting, topographic phase removal, phase filtering, phase unwrapping, geo coding, phase to displacement, masking out of low coherence areas.
  • Experience using lnSAR to determine 3D deformation.
  • Experience applying geodetic and photogrammetrlc principles to co-register multiple data sets to the WGS 84 reference frame and perform statistical analysis to determine the absolute and relative error.
  • Experience using SNAP, SNAPHU, StaMPS, or similar lnSAR processing and analysis software.
  • Experience using remote sensing analysis software suites, such as ERDAS IMAGINE, PCI Geomatics, or ESRI ArcGISPro.
  • Knowledge of digital data formats such as vector data, raster data, shape files, GML, XML
  • Knowledge of software engineering and evaluation of geomatics systems.
  • Experience developing project plans with milestones and deliverables, tracking progress, and subsequent status reporting.
  • Active TS/SCI with ability to be approved for a CI Poly

Preferred Qualifications
  • STEM Degree with emphasis in remote sensing.
  • Geodetic surveying or land surveying experience or coursework.
  • Advanced knowledge of geodetic, photogrammetric, or statistical principles.
  • Familiarity with customer systems architecture, including unclassified cloud environments.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
April 29, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $92,300.00 - $166,850.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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