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Practising for the listing Sr. Manager, Data Engineering. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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Sr. Manager, Data Engineering
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.

Our Values:

• We Seek A Better Way : We pursue bold ideas, embrace complexity, and keep pushing forward.

• We Make It Happen : We act with urgency, deliver with excellence, and always find a way.

• We Are Stronger Together : We engage with empathy, align around what's best for Veracyte, and celebrate as one team.

• We Care Deeply : We show up with integrity, kindness, and respect for one another.

The Position

The Senior Manager, Data Engineering will manage an engineering team responsible for building and operating Veracyte’s enterprise data platforms. This role combines people leadership with direct technical ownership and is suited for someone who can move comfortably between architecture, implementation details, production operations, and team development.

You will guide the evolution of modern data lake and lakehouse environments, delivering trusted and actionable data to scientific, clinical, operational, and commercial teams. You will partner closely with data science, analytics, product, clinical, software engineering, Security, and IT to translate business and scientific needs into secure, scalable, and maintainable solutions.

This position is based in our San Diego office with a hybrid working model or may be US remote.

• Manage and develop a team of data engineers, supporting talent planning, hiring, coaching, performance management, career development, and team effectiveness.

• Remain close enough to the technical work to guide architecture, design reviews, code quality, troubleshooting, and key implementation decisions.

• Collaborate with business and scientific stakeholders to translate requirements into platform capabilities, delivery plans, and measurable outcomes.

• Help establish and maintain data platform standards, governance practices, architectural guidelines, and operational processes.

• Make pragmatic architectural decisions using AWS services such as S3, Glue, Athena, Lambda, IAM, and CloudWatch, and related technologies such as Snowflake.

• Support continuous improvement of engineering practices for CI/CD, automated testing, observability, lineage, documentation, security, privacy, and code quality.

• Partner closely with cross-functional teams, including Analytics, Data Science, Product, Clinical, Laboratory, Software Engineering, Security, and IT, to support shared goals and initiatives.

• Ensure data-platform security, regulatory compliance, privacy, and quality-management requirements are addressed through appropriate architecture, controls, tooling, documentation, and cross-functional collaboration.

• Drive platform delivery and operational excellence, helping ensure solutions meet business needs, performance expectations, and production reliability requirements.

• Balance delivery priorities, operational support, platform enhancements, technical debt reduction, vendor relationships, and resource considerations.

• Evaluate emerging technologies and recommend adoption based on measurable improvements in maintainability, scalability, reliability, performance, security, and cost.

• Communicate technical decisions, alternatives, risks, recommendations, and trade-offs clearly to stakeholders and leaders across multiple functions, and build shared understanding in complex or sensitive situations.

• Model collaborative, inclusive leadership by engaging the right stakeholders early, seeking diverse perspectives, committing to decisions, pursuing better solutions, and maintaining high standards for quality and responsible use of company resources.

Who You Are

Required Qualifications

• Bachelor’s degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience.

• 8+ years of relevant experience in data engineering, software engineering, data platforms, or related fields.

• 5+ years of people-management experience, including responsibility for team objectives, work planning, performance management, development, and staffing decisions.

• Demonstrated experience leading a data engineering department or multiple related disciplines and delivering outcomes that affect broader functional or business priorities.

• Demonstrated experience designing, building, and operating production data pipelines and data platforms, including data lake or lakehouse architectures.

• Strong working knowledge of AWS services such as S3, Glue, Athena, Lambda, IAM, and CloudWatch, or comparable technologies.

• Hands-on proficiency with SQL and Python, with the ability to review code, evaluate technical designs, troubleshoot production problems, and guide implementation decisions.

• Experience with ETL/ELT frameworks, orchestration tools, distributed data processing, analytical data modeling, and reusable data products or shared platform capabilities.

• Practical experience implementing data quality, automated testing, observability, lineage, security, privacy, and regulatory controls.

• Experience establishing operational objectives, policies, procedures, work plans, schedules, and resource priorities for a technical team.

• Experience managing technical debt and operational risk while continuing to deliver business and product priorities.

• Proven ability to collaborate across engineering, scientific, product, clinical, business, Security, and IT teams, including the ability to influence and build alignment in complex situations.

• Strong communication skills, including the ability to explain technical decisions, alternatives, risks, and trade-offs clearly to technical and nontechnical audiences.

Preferred Qualifications

• Experience in biotechnology, life sciences, diagnostics, healthcare, or another regulated data environment.

• Experience working in environments subject to medical device regulations and quality-management requirements.

• Experience working with scientific, clinical, laboratory, LIMS, or bioinformatics data.

• Familiarity with ML/AI data workflows and supporting MLOps platforms.

• Experience optimizing AWS data-platform cost, reliability, security, and performance.

• Experience developing reusable data products, shared platform capabilities, or domain-oriented data architectures.

• Knowledge of metadata management, data catalogs, and lineage platforms.

• Experience managing budget inputs, vendors, or resource planning for a data engineering or platform team.

• Experience helping a team scale its processes without introducing unnecessary bureaucracy.

We know that great candidates may not meet every qualification listed. If this role excites you and you believe your experience can help us advance our mission, we encourage you to apply.

For candidates based in our San Diego office , the range is $199,000- $220,000.

For candidates based in our South San Francisco office , the range is $202,000- $258,000.

For candidates that are Remote : $192,825 - $220,000

#LI-Hybrid

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Pay range
$199,000 — $220,000 USD

What We Can Offer You

Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work ® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose.

About Veracyte

Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter) .

Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice

If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com

Requirements found here choose your questions.

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Requirements found

Compliance (must) Sql (must) Python (must) Scheduling (must) Budgeting (nice)

What this posting asks for

Level: Manager — The title says "Manager".

Main responsibilities

Manage and develop a team of data engineers, supporting talent planning, hiring, coaching, performance management, career development, and team effectiveness.
Collaborate with business and scientific stakeholders to translate requirements into platform capabilities, delivery plans, and measurable outcomes.
Help establish and maintain data platform standards, governance practices, architectural guidelines, and operational processes.
Support continuous improvement of engineering practices for CI/CD, automated testing, observability, lineage, documentation, security, privacy, and code qual…
Partner closely with cross-functional teams, including Analytics, Data Science, Product, Clinical, Laboratory, Software Engineering, Security, and IT, to sup…
Ensure data-platform security, regulatory compliance, privacy, and quality-management requirements are addressed through appropriate architecture, controls, …
Drive platform delivery and operational excellence, helping ensure solutions meet business needs, performance expectations, and production reliability requir…
Communicate technical decisions, alternatives, risks, recommendations, and trade-offs clearly to stakeholders and leaders across multiple functions, and buil…

Competencies an interviewer will look for

Technical skill Core
In the posting: “The Senior Manager, Data Engineering will manage an engineering team responsible for building and operating Veracyte’s enterprise data platforms.” · “This role combines people leadership with direct technical ownership and is suited for someone who can move comfortably between architecture, implementation …” · “You will partner closely with data science, analytics, product, clinical, software engineering, Security, and IT to translate business and scientific needs i…”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
Problem solving Core
In the posting: “Remain close enough to the technical work to guide architecture, design reviews, code quality, troubleshooting, and key implementation decisions.” · “Hands-on proficiency with SQL and Python, with the ability to review code, evaluate technical designs, troubleshoot production problems, and guide implementa…” · “Experience in biotechnology, life sciences, diagnostics, healthcare, or another regulated data environment.”
Show it by: Describes a real problem, the options considered and the one chosen; Shows how the cause was found, not just the fix.
Communication Core
In the posting: “Support continuous improvement of engineering practices for CI/CD, automated testing, observability, lineage, documentation, security, privacy, and code qual…” · “Ensure data-platform security, regulatory compliance, privacy, and quality-management requirements are addressed through appropriate architecture, controls, …” · “Communicate technical decisions, alternatives, risks, recommendations, and trade-offs clearly to stakeholders and leaders across multiple functions, and buil…”
Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
Teamwork and collaboration Core
In the posting: “Collaborate with business and scientific stakeholders to translate requirements into platform capabilities, delivery plans, and measurable outcomes.” · “Partner closely with cross-functional teams, including Analytics, Data Science, Product, Clinical, Laboratory, Software Engineering, Security, and IT, to sup…” · “Ensure data-platform security, regulatory compliance, privacy, and quality-management requirements are addressed through appropriate architecture, controls, …”
Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
Leadership and mentoring Core
In the posting: “This role combines people leadership with direct technical ownership and is suited for someone who can move comfortably between architecture, implementation …” · “Manage and develop a team of data engineers, supporting talent planning, hiring, coaching, performance management, career development, and team effectiveness.” · “Model collaborative, inclusive leadership by engaging the right stakeholders early, seeking diverse perspectives, committing to decisions, pursuing better so…”
Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
Customer focus Core
In the posting: “At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patie…” · “Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven e…” · “This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients mak…”
Show it by: Puts the customer's need in their own words; Shows a result for the customer, not only for the company.
Planning and organisation Core
In the posting: “Manage and develop a team of data engineers, supporting talent planning, hiring, coaching, performance management, career development, and team effectiveness.” · “Balance delivery priorities, operational support, platform enhancements, technical debt reduction, vendor relationships, and resource considerations.” · “5+ years of people-management experience, including responsibility for team objectives, work planning, performance management, development, and staffing deci…”
Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
Data and analysis Core
In the posting: “This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients mak…” · “The Senior Manager, Data Engineering will manage an engineering team responsible for building and operating Veracyte’s enterprise data platforms.” · “You will guide the evolution of modern data lake and lakehouse environments, delivering trusted and actionable data to scientific, clinical, operational, and…”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
Attention to detail and quality Core
In the posting: “Remain close enough to the technical work to guide architecture, design reviews, code quality, troubleshooting, and key implementation decisions.” · “Help establish and maintain data platform standards, governance practices, architectural guidelines, and operational processes.” · “Support continuous improvement of engineering practices for CI/CD, automated testing, observability, lineage, documentation, security, privacy, and code qual…”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Stakeholder management Core
In the posting: “Collaborate with business and scientific stakeholders to translate requirements into platform capabilities, delivery plans, and measurable outcomes.” · “Balance delivery priorities, operational support, platform enhancements, technical debt reduction, vendor relationships, and resource considerations.” · “Communicate technical decisions, alternatives, risks, recommendations, and trade-offs clearly to stakeholders and leaders across multiple functions, and buil…”
Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
Ownership and accountability Supporting
In the posting: “This role combines people leadership with direct technical ownership and is suited for someone who can move comfortably between architecture, implementation …”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
Adaptability and learning Supporting
In the posting: “Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great c…”
Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.

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Practice questions

Tell me about yourself. Dedicated step-by-step practice.
If an interviewer asks something improper How to respond to questions about age, family, origin or health.
Built from this posting (8):
Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
Tell me about a difficult problem you solved at work. How did you find the cause? From this posting
Tell me about a time you had to explain something complex to someone outside your field. From this posting
Describe a time you worked with another team to deliver something. What was your part? From this posting
How have you used compliance in your work? Walk me through one real example. From this posting
Tell me about a problem you solved using sql. From this posting
Tell me about a time you helped someone on your team get better at their work. From this posting
Tell me about a task you took from start to finish without anyone asking you to. From this posting
This posting reads as Data analysis: its questions come first.
Tell me about an analysis that changed a decision. Data analysis
How do you check that a query or spreadsheet you built gives the right answer? Data analysis
Describe a new tool or technique you learned to finish a piece of work. Data analysis
Describe a time you found that the data you were given was wrong. Data analysis
A manager asks you for 'the numbers' by tomorrow with no further detail. What do you do? Data analysis
What makes a dashboard useful, and how have you built one? Data analysis
Tell me about a time you explained a statistical result to people without a data background. Data analysis
Sales dropped 15% last month. How would you find out why? Data analysis
Two managers ask you to book the same room at the same time. What do you do?
Walk me through how you would check whether a report's numbers are right.
Describe a time you handled an upset customer or colleague.
Tell me about a time you had several deadlines at once. How did you decide what to do first?
Give an example of a mistake you caught before it caused a problem.
Tell me about a time you taught someone how to do something.
Describe a time you took the lead without being asked.
Tell me about a time you had to explain something complicated in simple terms.
Describe a process you improved.
Do you have any questions for us?
Why do you want to work here?
Why is there a gap in your employment? Difficult question
Why did you leave your last job? Difficult question
Why are you changing careers? Difficult question
What is your greatest weakness? Difficult question
What are your salary expectations? Difficult question
You seem overqualified for this role. Why do you want it? Difficult question
Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
A customer is angry about a delay you did not cause. What do you do?
How do you keep track of many open customer requests?
Tell me about a time you could not give a customer what they wanted.
You find that the inventory count does not match the system. What do you do?
Tell me about a time a shipment or delivery went wrong.
How do you make sure safety rules are followed on a busy shift?
How have you used spreadsheets in your work?
Tell me about a time you had to enter or check a lot of data accurately.
Tell me about a sale or agreement you are proud of.
A prospect says your price is too high. How do you respond?
How do you keep your pipeline organised?
Tell me about a technical problem you solved on your own.
You find a bug right before a release. What do you do?