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Remote Implementation Science Jobs in Chicago, IL

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Bachelor of Science in Information Technology, Computer Science, or a related technical field ... with remote flexibility for Fridays pending manager approval. * Desired Experience (Bonus)

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Bachelor of Science in Information Technology, Computer Science, or a related technical field ... with remote flexibility for Fridays pending manager approval. * Desired Experience (Bonus)

Remote Duration: Long-term Contract Required Skills and Qualifications Bachelor's degree in ... Science, Information Technology, or a related field. Minimum of 5 years of experience in Oracle ...

... development and implementation • New account set up • Supports all capital, reagent and ... S. in Life Science, Engineering or related field • Additional years of experience may be ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Bachelor of Science in Information Technology, Computer Science, or a related technical field ... with remote flexibility for Fridays pending manager approval. * Desired Experience (Bonus)

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Remote Implementation Science information

See Chicago, IL salary details

$27

$52

$83

How much do remote implementation science jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote implementation science in Chicago, IL is $52.96, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $62.88 per hour, depending on experience, location, and employer.

What is the difference between Remote Implementation Science vs Remote Health Program Coordinator?

AspectRemote Implementation ScienceRemote Health Program Coordinator
Required CredentialsMaster's or PhD in public health, healthcare, or related fields; knowledge of research methodsBachelor's degree in health administration, public health, or related fields; experience in healthcare coordination
Work EnvironmentFocus on research, data analysis, and strategy development in healthcare settingsManage health programs, coordinate activities, and liaise with stakeholders remotely
Employer & Industry UsageAcademic institutions, research organizations, healthcare agenciesHospitals, clinics, public health departments

Remote Implementation Science professionals focus on applying research findings to improve healthcare practices through data analysis and strategy development. In contrast, Remote Health Program Coordinators manage and coordinate health programs, ensuring smooth operations and stakeholder communication. While both roles work remotely in healthcare, their core responsibilities and required qualifications differ significantly.

What are the most commonly searched types of Implementation Science jobs in Chicago, IL? The most popular types of Implementation Science jobs in Chicago, IL are:
What are popular job titles related to Remote Implementation Science jobs in Chicago, IL? For Remote Implementation Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Implementation Science jobs in Chicago, IL look for? The top searched job categories for Remote Implementation Science jobs in Chicago, IL are:
Senior Data Engineer

Senior Data Engineer

Software Technology Inc

Chicago, IL • On-site, Remote

$109K - $148K/yr

Other

Posted 13 days ago


Job description

Senior Data Engineer

We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data solutions focused on Data Centralization, Governance, and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery, Dataflow, Dataproc) to build automated, cost-efficient, and complex data pipelines. The ideal candidate will be a technical leader, making key architectural decisions, implementing robust data frameworks, and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.

Key Requirements
  • Experience & Education:
    • 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
    • Bachelor of Science in Information Technology, Computer Science, or a related technical field.
  • Cloud & Pipeline Expertise (Required):
    • Proficiency with GCP (Google Cloud Platform) offering is required
    • Expertise in designing and building large-scale, automated data pipelines using GCP native services (e.g., BigQuery, Dataflow, Dataproc).
    • Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
  • Database & Coding Skills:
    • 4-5 years minimum experience with relational databases (MS-SQL, Postgres, or Oracle).
    • 3-4 years of experience with NoSQL databases (Capella or MongoDB).
    • 2-3 years of experience with Python or a similar language.
    • Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
  • Architecture & Governance:
    • Proven ability to make key architectural decisions related to data modeling, storage, and real-time processing.
    • Experience assisting with data governance, quality, and lineage practices using tools like Data Catalog, DLP, or Cloud Audit Logs.
    • Experience translating business requirements into technical design documents.
  • Work Schedule & Location:
    • Full-time onsite commitment required (Monday-Friday, 8a-5p), with remote flexibility for Fridays pending manager approval.
  • Desired Experience (Bonus):
    • Experience in the logistics or transportation industry (1-3 years).
    • Proven ability to mentor junior engineers and provide technical guidance.
    • Experience with monitoring and optimizing GCP resources for cost management.