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Remote Applied Intelligence Jobs in Chicago, IL (NOW HIRING)

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ... Solid Python skills applied to practical data engineering problems. * Hands-on experience with ...

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ... Solid Python skills applied to practical data engineering problems. * Hands-on experience with ...

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$46.9K

$107.8K

$148.3K

How much do remote applied intelligence jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote applied intelligence in Chicago, IL is $107,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $122,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote applied intelligence roles, and how can they be addressed?

Remote Applied Intelligence professionals often encounter challenges such as ensuring effective collaboration across distributed teams, maintaining clear communication with stakeholders, and managing data security when working with sensitive information offsite. To address these issues, it's important to use secure, cloud-based collaboration tools, establish regular check-ins with colleagues, and follow best practices for data privacy. Staying proactive about communication and leveraging project management platforms can help remote team members stay aligned and productive.

What is a remote applied intelligence?

A Remote Applied Intelligence job involves leveraging artificial intelligence, machine learning, data analytics, and related technologies to solve business problems and drive decision-making, all while working from a remote location. Professionals in this field analyze large data sets, build predictive models, and develop intelligent solutions that can optimize processes, improve customer experiences, or uncover new business opportunities. The 'remote' aspect means the work is performed outside of a traditional office, offering flexibility and the ability to collaborate with global teams using digital tools.

What are the key skills and qualifications needed to thrive as a remote applied intelligence professional, and why are they important?

To excel as a Remote Applied Intelligence professional, you need a solid background in data analysis, machine learning, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Proficiency in technical tools such as Python, R, SQL, cloud computing platforms, and relevant AI or data science certifications is highly valued. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies enable professionals to extract actionable insights from data, drive innovation, and succeed in a distributed work environment.
What are the most commonly searched types of Applied Intelligence jobs in Chicago, IL? The most popular types of Applied Intelligence jobs in Chicago, IL are:
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Remote Applied Intelligence jobs near you

Senior Data Engineer

Above Lending

Chicago, IL • On-site, Remote

$110K - $150K/yr

Full-time

Posted 10 days ago

Job description

Above Lending is a next-generation financial services company helping everyday Americans break the cycle of high-cost debt and move toward a stronger financial future. Through customized lending solutions, competitive rates, and personalized support, our mission is to simplify the lending process and help our clients achieve financial well-being. We are committed to making credit more affordable and accessible; backed by a culture grounded in compliance and ethics, and technology built around the people we serve.

We are growing quickly, and we are looking for new collaborators to help us reach the next level. If you want to join a forward-thinking, rapidly growing organization where helping people is the number one goal, we want to hear from you.


We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer.

This is a deeply hands-on role. You'll spend the majority of your time writing SQL, building pipelines, and working directly with raw data. Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as the ability to analyze data - spotting patterns, questioning results, and understanding what the numbers actually mean. You'll take ambiguous problems, break them down, and deliver reliable, scalable solutions without step-by-step guidance.

Strong candidates will be comfortable with messy source data, incomplete documentation, and figuring things out. If you need heavy direction or clean inputs to do your best work, this role likely isn't the right fit.

This is a hybrid role based in Chicago, IL. We are not hiring remote candidates at this time. 
What You'll Do
  • Build and own end-to-end data pipelines (ingestion → staging → marts) using Snowflake, Airflow, Fivetran, and DBT.
  • Work directly with raw data. Identify issues and implement fixes in base and staging layers before they propagate downstream.
  • Design data models that are simple, scalable, and trusted by the business.
  • Write advanced, high-performance SQL.
  • Understand the underlying database technology: execution plans, indexing, clustering, and storage behavior.
  • Debug data issues deeply, tracing problems across systems.
  • Use Python for ETL automation, scripting.
  • Build and enforce data quality checks that prevent bad data from reaching consumers.
  • Monitor pipelines proactively and resolve issues.
What You Bring
  • 5+ years of hands-on data engineering experience - including administration or support. 
  • Fintech or similarly data-intensive environments preferred.
  • Expert-level SQL: joins, window functions, performance trade-offs.
  • Proven experience building data models and marts from raw, imperfect source data.
  • Solid Python skills applied to practical data engineering problems.
  • Hands-on experience with Snowflake, Airflow, Fivetran, and DBT.
  • A high bar for data quality - you don't trust a number until you've validated it.
  • The ability to operate independently, make decisions under ambiguity, and follow problems through to resolution.
What Sets You Apart
  • You've debugged data issues others couldn't explain.
  • You've worked with poorly documented or unreliable source systems and made them usable.
  • You've said "this number is wrong" - and proved it.
  • You care about correctness as much as performance.
  • You default to solving problems, not escalating them.
This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.
Join our dynamic team and contribute to Above Lending’s success as we continue to provide innovative lending solutions to our customers.
 
Under the California Consumer Privacy Act (“CCPA”), Above Lending is informing California residents who are our job applicants, contractors or prospective employees (together “job applicants”) about the categories of personal information we collect about you and the purposes for which we will use this information. This notice and our Privacy Policy contain important information relating to the CCPA and apply only to personal information that is subject to the CCPA. Please see our website for the full CCPA statement.
 
*Above Lending is an equal opportunity Employer*
Above Lending does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job positions.  No fee will be paid to their parties who submit unsolicited candidates directly to Above Lending employees or the Above Lending Finance and HR teams.  No placement fee will be paid to any third party unless such a request has been made by the Above Lending HR team.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.