Pay
Lower than most similar jobs
$85K–$120K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Engineer role: pipelines and data infrastructure.
AEI offers generous benefits, including 18 days of paid leave (15 days of paid annual leave and 3 personal/floating holidays); 12 days of paid sick leave; paid family leave; medical and dental coverage, in addition to a health savings account; medical and dependent care FSA; a tuition assistance program of up to $5,200; life and disability insurance at no cost to employees; and a 403b retirement plan with a contribution from AEI, among other benefits. For more information, you can see a full summary of our benefits at https://www.aei.org/jobs/benefits/. Compensation is based on a number of factors, including the position’s scope and responsibilities; a candidate's full-time, applicable work experience; key skills and qualifications; and internal and external market considerations. The salary range for this full-time, exempt position is $85,000–$120,000. Salary is just one component of AEI’s total compensation package for employees.Read the full posting
Assemble and clean financial, economic and other housing datasets for analysis
Automate recurring data collection, cleaning, reporting and visualization
Lead data projects from source acquisition through publication and maintenance
Build interactive dashboards and visualizations of housing data for the public
Conduct predictive modeling, statistical analysis and machine learning on complex data
Assemble financial, workforce, technological, economic, statistical, and other operational datasets
Automate recurring analyses that are currently performed manually, including data collection, cleaning, reporting, and visualization.
Lead data projects from source acquisition through technical design, quality control, publication, and ongoing maintenance.
creating interactive dashboards and data visualizations that make Housing Center data and insights accessible to researchers and the public
Conduct advanced predictive modeling, statistical analyses, and machine learning on complex datasets.
Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional analytical languages;
Experience with web development, cloud-based, and development tools, such as HTML, JavaScript, AWS, or Docker;
Strong SQL skills and experience designing and maintaining relational and analytical data systems, using tools such as PostgreSQL, DuckDB, or comparable technologies;
Experience automating, scheduling, testing, and documenting recurring data workflows, using tools such as Airflow, GitHub Actions, or comparable systems;
Experience with data visualization and geospatial tools, such as Tableau, PostGIS, QGIS, Mapbox, ggplot2, or Matplotlib;
Experience managing other team members’ workflows; and
This position requires superior technical and quantitative skills, the capacity to develop additional skills, and the initiative to build new systems and processes. The ideal candidate will have a demonstrated interest in and knowledge of housing policy. Creativity, attention to detail, and the ability to independently manage multiple complex projects and deliver reliable results are essential. The anticipated start date for this position is as soon as possible. Final title and salary will be commensurate with a candidate’s educational level and years of full-time, applicable work experience. Master’s degree preferred. Candidates who can successfully meet the responsibilities of this role are encouraged to apply, regardless of their years of experience. AEI offers a stimulating and harmonious work environment and excellent benefits. Applicants must submit a cover letter demonstrating their interest in housing policy and noting their quantitative and technical experience and skills, a resume, an unofficial academic transcript, and a writing sample with the online application. Candidates also will be asked to pass a skills assessment and an analytical assessment. Responsibilities
Required: - A bachelor’s degree in economics, finance, math, computer science, data science, or a related discipline; - Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional analytical languages;
Preferred: - A master’s degree in economics, finance, math, computer science, or a related discipline; - Working experience with Stata and Microsoft Excel;
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$85K–$120K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 88
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Working experience with Stata and Microsoft Excel; - Experience with web development, cloud-based, and development tools, such as HTML, JavaScript, AWS, or Docker; - Experience automating, scheduling, testing, and documenting recurring data workflows, using tools such as Airflow, GitHub Actions, or comparable systems;
- A bachelor’s degree in economics, finance, math, computer science, data science, or a related discipline; - Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional analytical languages; - Strong SQL skills and experience designing and maintaining relational and analytical data systems, using tools such as PostgreSQL, DuckDB, or comparable technologies;
- Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional analytical languages; - Strong SQL skills and experience designing and maintaining relational and analytical data systems, using tools such as PostgreSQL, DuckDB, or comparable technologies; - Experience with data visualization and geospatial tools, such as Tableau, PostGIS, QGIS, Mapbox, ggplot2, or Matplotlib;
- A master’s degree in economics, finance, math, computer science, or a related discipline; - Working experience with Stata and Microsoft Excel; - Experience with web development, cloud-based, and development tools, such as HTML, JavaScript, AWS, or Docker;
- Strong SQL skills and experience designing and maintaining relational and analytical data systems, using tools such as PostgreSQL, DuckDB, or comparable technologies; - Experience with data visualization and geospatial tools, such as Tableau, PostGIS, QGIS, Mapbox, ggplot2, or Matplotlib; - Experience using various AI models to accelerate data collection and analysis;
- Experience with web development, cloud-based, and development tools, such as HTML, JavaScript, AWS, or Docker; - Experience automating, scheduling, testing, and documenting recurring data workflows, using tools such as Airflow, GitHub Actions, or comparable systems; - A demonstrated interest in housing and public policy research;
Complete your application on careers-aei.icims.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
The Housing Center at the American Enterprise Institute (AEI) is the nation’s leading market-oriented housing research center. It operates at the intersection of data-driven housing knowledge and policy solutions.
The AEI Housing Center seeks a full-time, in-person (senior) data scientist to develop and manage large datasets to derive insights and inform US housing policy. The data scientist will be responsible for maintaining the nation’s foremost housing database and designing the systems and infrastructure that produce research to improve the operation of housing markets, mortgage lending practices, and housing policy. This will include seeking, creating, cleaning, and analyzing new datasets; developing automated processes for data maintenance; and building the infrastructure for regular Housing Center updates on the housing market.
This position requires superior technical and quantitative skills, the capacity to develop additional skills, and the initiative to build new systems and processes. The ideal candidate will have a demonstrated interest in and knowledge of housing policy. Creativity, attention to detail, and the ability to independently manage multiple complex projects and deliver reliable results are essential. The anticipated start date for this position is as soon as possible.
Final title and salary will be commensurate with a candidate’s educational level and years of full-time, applicable work experience. Master’s degree preferred. Candidates who can successfully meet the responsibilities of this role are encouraged to apply, regardless of their years of experience. AEI offers a stimulating and harmonious work environment and excellent benefits. Applicants must submit a cover letter demonstrating their interest in housing policy and noting their quantitative and technical experience and skills, a resume, an unofficial academic transcript, and a writing sample with the online application. Candidates also will be asked to pass a skills assessment and an analytical assessment.
Additional Responsibilities (Senior Data Scientist)
Physical Requirements and Working Conditions at AEI
Required:
Preferred:
Benefits
AEI offers generous benefits, including 18 days of paid leave (15 days of paid annual leave and 3 personal/floating holidays); 12 days of paid sick leave; paid family leave; medical and dental coverage, in addition to a health savings account; medical and dependent care FSA; a tuition assistance program of up to $5,200; life and disability insurance at no cost to employees; and a 403b retirement plan with a contribution from AEI, among other benefits. For more information, you can see a full summary of our benefits at https://www.aei.org/jobs/benefits/.
Compensation is based on a number of factors, including the position’s scope and responsibilities; a candidate's full-time, applicable work experience; key skills and qualifications; and internal and external market considerations. The salary range for this full-time, exempt position is $85,000–$120,000. Salary is just one component of AEI’s total compensation package for employees.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
AEI offers generous benefits, including 18 days of paid leave (15 days of paid annual leave and 3 personal/floating holidays); 12 days of paid sick leave; paid family leave; medical and dental coverage, in addition to a health savings account; medical and dependent care FSA; a tuition assistance program of up to $5,200; life and disability insurance at no cost to employees; and a 403b retirement plan with a contribution from AEI, among other benefits. For more information, you can see a full summary of our benefits at https://www.aei.org/jobs/benefits/. Compensation is based on a number of factors, including the position’s scope and responsibilities; a candidate's full-time, applicable work experience; key skills and qualifications; and internal and external market considerations. The salary range for this full-time, exempt position is $85,000–$120,000. Salary is just one component of AEI’s total compensation package for employees.
DC
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.