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Data Engineer
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- Lombard, Illinois, United States
- Lombard, Illinois, United States
À propos
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 and follow us on , and . ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.*** Job Description
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.*** Qualifications
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.*** Additional Information 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: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
Compétences linguistiques
- English
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