Senior Data Engineer, Ethics & Compliance

MedStar Health; Chicago (IL); On-site; USD 159,000 - 213,000; Full time

Job summary

A leading healthcare management organization seeks a Senior Data Engineer to join their Ethics and Compliance Data & Insights team. In this critical role, you will design, build, and manage complex data engineering solutions, ensuring ethical compliance while creating insightful analytics that empower strategic decision-making. The position offers opportunities for continuous learning and collaboration within a diverse, high-performing environment.

Benefits

Comprehensive benefits package

Medical, dental, and mental health coverage

Parental leave and family planning benefits

Generous retirement contributions program

Continuous learning opportunities

Supportive mentorship culture

Qualifications

• 6+ years of experience in data architecture and engineering.
• Experience with scalable data pipelines and analytics solutions.
• Strong expertise in data modeling and ETL processes.

Responsibilities

• Oversee the creation of scalable data pipelines and analytics frameworks.
• Lead the development of data governance frameworks to ensure data quality.
• Create predictive models to proactively address compliance risks.

Skills

Data Architecture

Data Engineering

Data Modeling

ETL Processes

Big Data Technologies

Data Visualization

Team Collaboration

Education

Bachelor's degree

Advanced degree in Computer Science or Data Engineering

Tools

AWS

Azure

GCP

Tableau

Power BI

Hadoop

Spark

Python

R

Job description

Risk & Compliance
Senior Data Engineer, Ethics & Compliance
Job ID: 98842

Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place.

Your Impact

As a key member of McKinsey's Ethics and Compliance (E&C) Data & Insights team, you will work closely with program leaders to understand their needs and challenges, designing, creating and managing data engineering solutions that support the firm's ethics and compliance objectives.

In this role, you will oversee the creation of scalable data pipelines, data models, and analytics frameworks that enable the collection, integration, and analysis of large datasets from multiple sources. You will work closely with cross-functional teams to understand their data needs and translate those requirements into actionable engineering solutions. Additionally, you will ensure that the data infrastructure supports real-time analytics and reporting, empowering leadership to make informed decisions.

You will lead the development of data governance frameworks to maintain data quality, integrity, and security. This includes implementing best practices for data validation, monitoring, and access control, as well as ensuring compliance with regulatory standards. Collaborating with leadership, you will design and implement advanced analytics tools, such as dashboards and machine learning models, to identify emerging risks and trends.

A key aspect of your role will involve creating predictive models that enable the firm to proactively address compliance risks. Furthermore, you will guide and mentor data analysts, fostering their professional growth by providing technical training, career development opportunities, and constructive feedback.

Your work will help ensure ethical and compliant decision-making by providing insights that enhance operational integrity, strengthen regulatory adherence, and mitigate risks. By transforming raw data into meaningful insights, you will empower teams to make informed, principled choices that uphold the organization's values and protect its reputation.

You will be based in the United States as part of our E&C's Data & Insights team. This team analyzes data and trends to identify risks, ensure regulatory adherence, and provide actionable insights that support ethical decision-making and organizational integrity.

Your Growth

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

• Bachelor's degree required, advanced degree(s) in Computer Science, Data Engineering, or a related field preferred
• 6+ years' professional experience in data architecture and/or data engineering, with a focus on building scalable data pipelines and analytics solutions for high-performing institutions
• Demonstrates an entrepreneurial mindset to progress on ambiguous technical challenges and deliver innovative solutions
• Strong expertise in data modeling, ETL processes, and database management systems (e.g., SQL, NoSQL)
• Proficiency in big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)
• Experience with data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g. Python, R)
• Builds trust-based relationships with stakeholders across technical and non-technical teams, collaborating generously and acting as a key thought partner
• Possesses exceptional organizational and project management skills, driving outcomes on cross-functional and complex topics
• Exhibits the highest levels of discretion and judgment in safeguarding confidential data and ensuring compliance with data privacy regulations
• Fosters a collaborative, respectful, and inclusive environment for all colleagues
• Displays a passion for people development and experience leading global, multi-disciplinary teams
• Fluent written and oral communication skills in English, with the ability to translate complex technical concepts into clear, actionable insights for non-technical audiences

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US and Canadian jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in Canada and/or the United States, including all office locations where the job may be performed, a reasonable estimated range is $159,200 - $212,100 in USD and $153,000 - $203,000 in CAD - to help you understand what you can expect. This reflects our best estimate of the lowest to highest salary for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

Job Skill Group - N/A

Job Skill Code - RCM - Compliance Manager

Function - Risk & Resilience

Industry -

Post to LinkedIn - Yes

Posted to LinkedIn Date - Wed Jun 25 00:00:00 GMT 2025

LinkedIn Posting City - Washington DC

LinkedIn Posting State/Province - District of Columbia

LinkedIn Posting Country - United States

LinkedIn Job Title - Senior Data Engineer, Ethics & Compliance

LinkedIn Function - Analyst;Consulting

LinkedIn Industry - Management Consulting

LinkedIn Seniority Level - Mid-Senior level