2

Remote Downstream Processing Jobs in Chicago, IL

Technical Product Manager

Chicago, IL · Remote

$88K - $121K/yr

... downstream processes to utilize. The role is a mix of strategic and tactical - looking for new ... Work effectively with remote teams across multiple time zones, domestic and off-shore * Leverage ...

Technical Product Manager

Chicago, IL · Remote

$88K - $121K/yr

... downstream processes to utilize. The role is a mix of strategic and tactical - looking for new ... Work effectively with remote teams across multiple time zones, domestic and off-shore * Leverage ...

Technical Product Manager

Chicago, IL · Remote

$88K - $121K/yr

... downstream processes to utilize. The role is a mix of strategic and tactical - looking for new ... Work effectively with remote teams across multiple time zones, domestic and off-shore * Leverage ...

Senior Incident Management Practice Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

... downstream processes. A core component of the role is AI enablement by embedding AIOps, machine ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

... downstream processes. A core component of the role is AI enablement by embedding AIOps, machine ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Chicago, IL · On-site +1

$118K - $161K/yr

... downstream processes. A core component of the role is AI enablement by embedding AIOps, machine ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Data Engineer (Snowflake)

Chicago, IL · On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... Develop data transformation processes supporting business intelligence and downstream applications.

New

Data Engineer - 332427

Lake Forest, IL · Remote

$153K - $174K/yr

Remote About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations ... Extract and process enterprise data from SAP systems using ABAP variants, custom logic, and file ...

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ... and process. It is at the Company's discretion to determine what pay is provided to a candidate ...

Data Analyst - Data Ops

Chicago, IL · On-site +1

$55K - $60K/yr

Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ... and process. It is at the Company's discretion to determine what pay is provided to a candidate ...

Hybrid - onsite and remote Hours: 40.0 Overview Leading medical device company looking for an ... Ensure downstream impacts (e.g., document updates, training, implementation activities) are ...

Hybrid - onsite and remote Hours: 40.0 Overview Leading medical device company looking for an ... Ensure downstream impacts (e.g., document updates, training, implementation activities) are ...

next page

Showing results 1-20

Remote Downstream Processing information

See Chicago, IL salary details

$13

$25

$36

How much do remote downstream processing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote downstream processing in Chicago, IL is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $28.99 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Downstream Processing jobs in Chicago, IL? The most popular types of Downstream Processing jobs in Chicago, IL are:

Technical Product Manager

Numerator

Chicago, IL • Remote

$88K - $121K/yr

Full-time

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


Job description

The salary range for this job is $88,000- $121,000/year + Bonus 

Numerator is looking for a Technical Product Manager for our Data Extraction team. The Technical Product Manager is responsible for ingesting consumer purchase data in many forms, parsing and processing it and turning it into structured data for downstream processes to utilize. The role is a mix of strategic and tactical - looking for new technologies and methods to increase automation and data quality, adapting to the future of how consumers purchase goods & services and how they share their data, and getting into the nitty gritty details of processing receipts and the complex business logic involved. 

This role will work with many other back-end development teams, including Deep Learning and Mobile Apps, and very closely with our Operations team in maintaining and improving our data entry application. The role will also coordinate and communicate with many other parts of the organization, including our Data Science team, Services team, and Sales to help them better understand the nuances of our data. Here\'s what you\'ll be doing on a day to day basis:

What You\'ll Do:
  • Own the team’s roadmap and set clear priorities for the team; work with engineering leads to drive quarterly planning sessions

  • Gather feedback from around the organization and incorporate industry knowledge to modify the roadmap and re-prioritize as necessary

  • Own the team’s objectives, key results, and monitor metrics regularly to measure the team’s performance and impact; use these metrics in your decision making on priorities

  • Supervise the day-to-day execution: work with the Product Owner to run standups, sprints, and planning for our development team, and maintain and prioritize a backlog of tickets

  • Guide the team into translating the product specifications into mockups and actionable work items

  • Be the Subject Matter Expert for our receipt processing business logic and communicate the implications of this logic to other teams, both technical and non-technical

  • Manage resource allocation across different initiatives and work closely with engineering leaders to make sure that key engineering talent is efficiently allocated

  • Work effectively with remote teams across multiple time zones, domestic and off-shore

  • Leverage SQL to create new KPIs, investigate data issues, and gather information to inform decision-making