Home › Companies › Covista › Data Engineer
Data Engineer
Covista · Lisle, IL, United States · Hybrid · Active · $74,065 / week · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Covista |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Information Technology |
| Location | Lisle, IL, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $74,065 / week |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-06-17 / 2026-06-18 |
| Changed / last seen | 2026-06-18 / 2026-06-18 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Covista. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Lisle. | Open |
| Department jobs | Active postings in Information Technology. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Covista |
| Source | 314fc04c-6fa3-4095-ab24-3f02fef9db88 |
| ATS provider | SmartRecruiters |
Description
Covista is America's largest healthcare educator, serving more than 97,000 students and supported by a community of 385,000 alumni across five accredited institutions. Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista expands access to healthcare careers and addresses the U.S. healthcare workforce shortage at scale. Covista is the parent company of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.
Our colleagues come from a wide range of backgrounds, business, academia, healthcare, government and nonprofits, and are part of a culture where doing exceptional work and making a meaningful difference for students and society aren't separate goals—they're one and the same. This means creating an environment where colleagues can develop new skills, build careers that match their ambitions and see the tangible impact of their work on healthcare education and workforce development. Colleagues who deliver results and embrace new tools to work smarter are valued for their contributions. But what makes working at Covista distinctive is our impact. Our faculty and colleagues don't just support healthcare education—they shape it. This isn't abstract purpose work. It's solving real problems for real people in real communities while advancing careers.
We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.
For more information, visit covista.com and follow us on LinkedIn , Instagram and YouTube .
***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
Work closely with various business, IT, Analyst and Data Science groups to collect business requirements. Develop, deploy and support high performance data pipelines both inbound and outbound. Optimize data pipelines for performance, scalability, and reliability. Ensure quality of critical data element, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines. Capture, store and socialize data lineage and operational metadata. Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Required. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred. Three (3) plus years of experience in building data lakes and cloud data platforms. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows. Expert knowledge on SQL and Python programming. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Experience in tuning queries for performance and scalability Experience working in agile environment. Excellent problem-solving and critical thinking skills. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $74,064.94 and $133,901.96. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.
Covista offers a robust suite of benefits including:
Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Covista’s Flexible Time Off (FTO) Policy 12 Paid Holidays
For more information related to our benefits please visit:
https://careers.covista.com/benefits
You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation
Full job record
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| Org ID | df5a43e2-476f-4e43-b187-55288f7b11dd |
| Source ID | 314fc04c-6fa3-4095-ab24-3f02fef9db88 |
| Board ID | 314fc04c-6fa3-4095-ab24-3f02fef9db88 |
| Provider | smartrecruiters |
| Provider Job Key | 744000132703709 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Lisle, IL, United States |
| Department | Information Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | IL |
| City | Lisle |
| Salary Raw | Covista is America's largest healthcare educator, serving more than 97,000 students and supported by a community of 385,000 alumni across five accredited institutions. Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista expands access to healthcare careers and addresses the U.S. healthcare workforce shortage at scale. Covista is the parent company of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. Our colleagues come from a wide range of backgrounds, business, academia, healthcare, government and nonprofits, and are part of a culture where doing exceptional work and making a meaningful difference for students and society aren't separate goals—they're one and the same. This means creating an environment where colleagues can develop new skills, build careers that match their ambitions and see the tangible impact of their work on healthcare education and workforce development. Colleagues who deliver results and embrace new tools to work smarter are valued for their contributions. But what makes working at Covista distinctive is our impact. Our faculty and colleagues don't just support healthcare education—they shape it. This isn't abstract purpose work. It's solving real problems for real people in real communities while advancing careers. We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. For more information, visit covista.com and follow us on LinkedIn , Instagram and YouTube . ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.*** Work closely with various business, IT, Analyst and Data Science groups to collect business requirements. Develop, deploy and support high performance data pipelines both inbound and outbound. Optimize data pipelines for performance, scalability, and reliability. Ensure quality of critical data element, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines. Capture, store and socialize data lineage and operational metadata. Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.*** Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Required. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred. Three (3) plus years of experience in building data lakes and cloud data platforms. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows. Expert knowledge on SQL and Python programming. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Experience in tuning queries for performance and scalability Experience working in agile environment. Excellent problem-solving and critical thinking skills. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.*** In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $74,064.94 and $133,901.96. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Covista offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Covista’s Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: https://careers.covista.com/benefits You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.*** Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation |
| Salary Min | 74,064.94 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | week |
| Source URL | https://jobs.smartrecruiters.com/Covista/744000132703709-data-engineer- |
| Apply URL | https://jobs.smartrecruiters.com/Covista/744000132703709-data-engineer-?oga=true |
| First Seen At | 2026-06-18 10:44:00Z |
| Last Seen At | 2026-06-18 10:44:00Z |
| Last Checked At | 2026-06-18 10:44:00Z |
| Last Changed At | 2026-06-18 10:44:00Z |
| Inactive At | — |
| Source Posted At | 2026-06-17 18:12:20Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=covista/date=2026-06-18/2026-06-18T10-43-31-474Z-396d4f27d9287b52f8e2ba00dba7cd7983907733fabcae86f6d317db03598ec8.json |
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