At Vanasse Hangen Brustlin (commonly known as VHB), a Software Engineer plays a unique and highly impactful role. Unlike typical tech companies that build generic software-as-a-service (SaaS) products, VHB is a premier civil engineering, planning, and environmental consulting firm. As an engineer here, you will build custom software applications, spatial data pipelines, and interactive web tools that directly empower civil engineers, transportation planners, and environmental scientists to design and improve the physical world around us. Your work will bridge the gap between complex physical infrastructure and modern digital solutions. You will be responsible for developing tools that visualize spatial data, model environmental impacts, and optimize transportation networks. Whether you are working on modernizing municipal asset management or deploying interactive mapping applications for major transit agencies, your code will have a tangible, real-world impact on community infrastructure and sustainability. This role requires a blend of robust full-stack software development skills and an appreciation for spatial data. By developing high-performing, reliable applications, you will help maintain its reputation as an innovative leader in the engineering and consulting industries.
Phone Screen
reportedInitial conversation with an HR recruiter to discuss your background, interest in the role, and alignment with the company.
What to demonstrate
- Initial conversation with an HR recruiter to discuss your background, interest in the role, and alignment with the company
- Depth in Angular
How to prepare
- Be able to walk your CV end to end in two minutes, and say why this company specifically.
- Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.
Technical and Managerial Screening
reportedVideo conference focusing on your experience with the core technology stack, project portfolio, and work style.
What to demonstrate
- Video conference focusing on your experience with the core technology stack, project portfolio, and work style
- Depth in Angular
How to prepare
- Answer aloud and timed: Describe the differences between.NET Framework and.NET Core, particularly regarding cross-platform deployment.
- Answer aloud and timed: How do you handle state management in a complex Angular application?
Panel Interview
reportedComprehensive interview with department heads, engineering managers, and potential peers, covering technical practices and behavioral scenarios.
What to demonstrate
- Comprehensive interview with department heads, engineering managers, and potential peers
- Covering technical practices and behavioral scenarios
How to prepare
- Answer aloud and timed: Explain how you would design a RESTful API endpoint using.NET Core to handle file uploads and metadata storage.
- Answer aloud and timed: Describe your experience working with Esri technology, such as ArcGIS API for JavaScript or ArcGIS Runtime SDKs.
PracHub editorial advice for the preparation topics above.
Highlight Your Spatial Experience
If you have any experience with GIS, mapping APIs, or spatial data, make sure to feature it prominently in your resume and discussions. It is one of the most highly valued skills for this team.
Be Ready to Discuss Your Portfolio
Prepare to walk through past projects in detail. Focus on the "why" behind your architectural decisions, how you structured your code, and how you solved specific technical challenges.
Showcase Cross-Functional Communication
Emphasize your ability to collaborate with non-technical team members. Give concrete examples of how you translated complex business requirements into elegant software solutions.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Identify the heaviest tenants in a five-minute window under memory pressure
The edge service handles about 3,000 requests per second across roughly 50,000 tenants, peaking near 9,000. Expose the 50 heaviest tenants by request count over the trailing five minutes so limits can be tightened before one tenant's backfill starves the fleet. You may not retain five minutes of raw records. Give the exact solution and its memory, then the bounded-memory approximation with its error stated as a formula, and say which you would ship and at what tenant cardinality that choice changes.
Approach
- Do the exact version first, because it is affordable at this cardinality: a ring of 300 one-second counters per tenant, advanced lazily, is 1,200 bytes of counters per tenant and roughly 60 to 90 MB for 50,000 tenants with overhead. Carry a running total and subtract the bucket you overwrite so a window read is O(1) rather than 300 adds.
- Extract the top 50 with a size-k min-heap over the tenant sums: O(d log k) for d tenants, against O(d log d) to sort them all. Maintaining the heap continuously instead of on query requires a tenant-to-heap-index map, because incrementing a count already inside the heap means sifting from a known position, and without that map you rebuild the heap on every request.
- State the approximation precisely rather than gesturing at sketches. Misra-Gries with m counters retains every item whose true count exceeds N/(m+1), and each retained count underestimates the truth by at most N/(m+1). With m = 1,000 and N = 900,000 requests in the window the error is roughly 900 requests, which is fine for spotting a tenant sending 50,000 and useless for ranking two tenants 200 apart.
- Say what breaks when the window slides: Misra-Gries and Space-Saving are insert-only and cannot be decremented as records age out. The workable construction is one summary per sub-window, say ten seconds, with 30 summaries merged at query time, and the merged error is the sum of the per-summary errors, so the bound degrades linearly in the number of sub-windows.
Follow-up
- The heaviest tenant is heavy because of one export job rather than user traffic. Should the limiter treat those as the same tenant?
- Two tenants sit tied at the boundary of the top 50. Does your answer flap, and does the flapping matter?
Diff a projection against the primary without per-row point reads
The listing projection has drifted and some rows show a stale version. The primary holds 40,000,000 resource rows across 12,000 tenants while serving 1,200 writes and 14,000 reads per second. The obvious repair, reading each resource row and comparing its version against the projection, is correct and would eventually finish. Explain precisely why it is unacceptable here, then give a diff that finds the differing rows, state its complexity, and make it safe to run against a live primary. Replication lag is usually under 100 ms and is not bounded.
Approach
- Quantify the naive cost rather than calling it slow: 40,000,000 point reads at even 0.5 ms each is over five hours serialised, and the only lever is concurrency, which is exactly what you cannot spend. The primary's pool is sized for the write path, and 40,000,000 random reads evict the buffer cache that sustains the 85 percent cache hit rate, so the audit degrades the system it is auditing.
- Replace random access with one ordered pass per side. Both sides can be read in (tenant_id, resource_id) order, which is a sequential scan on each and a merge join in O(n) time and O(1) memory. For a dense diff that is the whole answer, and it reads the primary once instead of 40,000,000 times.
- For the expected sparse case, compare range hashes instead of rows: partition the key space, compute per range an order-independent aggregate over hash(resource_id, version), compare aggregates, and descend only into ranges that differ. With d differing rows and branching factor B, at most d ranges mismatch per level, so the drill-down examines O(d log_B(n/d)) ranges and reads full rows only in mismatching leaves.
- Aggregate with a sum modulo 2^64 or a multiset hash, never XOR. XOR is order-independent but self-cancelling, so two rows wrong in the same way, or a row duplicated on one side, leave the range aggregate matching and the range is declared clean.
Follow-up
- The diff reports 900 stale rows. How do you decide between patching those rows and rebuilding the projection from resource_revision?
- Same job, but the projection lives in a search index that cannot be scanned in key order. What changes?
Collapse a redelivered event batch into per-aggregate high-water marks
You drain a batch of up to 5,000,000 events, each (aggregate_id BIGINT, aggregate_version INT, event_type, payload). The log guarantees order within one aggregate only; the batch merges 64 partitions, and a relay failover has redelivered a range, so an older version for an aggregate can appear after a newer one. Given a map of last_applied_version per aggregate, produce the events worth applying, at most one per (aggregate_id, version), plus the count discarded. Target O(n) time. State the memory for 2,000,000 distinct aggregates and what you do when it does not fit.
Approach
- One pass, one hash map from aggregate_id to the highest version kept, and a discard counter. An event whose version is at or below last_applied_version for its aggregate is dropped without further work, which is the whole reason the event carries its version rather than a delta. O(n) expected time, O(d) space in distinct aggregates.
- Keep the maximum, never the last occurrence. The redelivered range means the final appearance of an aggregate in the batch can be an older version than one seen earlier in the same batch, so last-wins applies stale state over newer state and the projection regresses with no error anywhere.
- Cost the memory instead of calling it large: an 8-byte key plus a 4-byte version is 12 bytes of payload, and an open-addressed table held at a 0.7 load factor costs roughly 17 bytes per entry before per-slot metadata, so 2,000,000 aggregates is tens of megabytes in a native layout and several times that in a runtime that boxes both key and value.
- If the distinct set exceeds memory, partition on hash(aggregate_id) mod P and reduce each partition independently. Every event for one aggregate hashes to the same partition, so the per-partition result is exact and the merge is concatenation rather than a second reduction.
Follow-up
- The payload is a patch rather than a snapshot, so applying only the highest version loses the intermediate changes. What changes in your reduction?
- How do you detect that version 7 arrived while version 6 was never delivered, and what should the consumer do about the gap?
How do you optimize query performance in SQL Server when dealing with large datasets?
How do you optimize query performance in SQL Server when dealing with large datasets?
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
How do you store and query spatial data types (such as geography and geometry) in SQL?
How do you store and query spatial data types (such as geography and geometry) in SQL?
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Explain the lifecycle hooks in Angular and when you would use each.
Explain the lifecycle hooks in Angular and when you would use each.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Describe the differences between.NET Framework and.NET Core, particularly regarding cross-platform deployment.
Describe the differences between.NET Framework and.NET Core, particularly regarding cross-platform deployment.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Explain how you would design a RESTful API endpoint using.NET Core to handle file uploads and metadata storage
Explain how you would design a RESTful API endpoint using.NET Core to handle file uploads and metadata storage.
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- Design the error taxonomy before the success shape; callers branch on it.
Follow-up
- What happens if the caller retries after a timeout?
- How does a client discover it is on an old version of this contract?
How would you optimize the rendering performance of a web map displaying thousands of interactive data points?
How would you optimize the rendering performance of a web map displaying thousands of interactive data points?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Walk me through a recent project in your portfolio. What were the technical challenges, and why did you choose
Walk me through a recent project in your portfolio. What were the technical challenges, and why did you choose your specific technology stack?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
How do you approach testing and quality assurance in your development workflow?
How do you approach testing and quality assurance in your development workflow?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Describe a scenario where you had to refactor a legacy codebase. What steps did you take to ensure stability?
Describe a scenario where you had to refactor a legacy codebase. What steps did you take to ensure stability?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Every query on one table stalls for forty seconds mid-deploy
During a release on PostgreSQL, every query touching resource times out for about 40 seconds and then recovers with no intervention. The release ran one migration, ALTER TABLE resource ADD COLUMN archived_reason TEXT, and the migration log shows it completing in 6 ms. Unrelated tables showed no change in error rate. Explain how a 6 ms statement caused a 40-second stall, give the ordered checks you would run on a live system to confirm it, and give the migration procedure that prevents a repeat.
Approach
- Separate the statement's duration from the lock's duration. ADD COLUMN with no default is a catalogue-only change and genuinely runs in milliseconds, but it requires ACCESS EXCLUSIVE, and it cannot acquire that until every transaction already touching the table has finished.
- Account for the queueing, which is the part that surprises people. A lock request that is waiting blocks later requests for conflicting modes behind it rather than letting them overtake, so one long-open transaction holds the DDL and the DDL holds all the traffic. The stall length is set by the longest open transaction, not by the size of the change.
- Confirm on a live system in this order: pg_stat_activity for that table ordered by xact_start, looking for the oldest transaction and specifically for state = idle in transaction; then pg_locks where granted = false to find the waiter; then join them on pid to name blocker and blocked. pg_blocking_pids() does that join for you and is the fastest single call.
- Prevent rather than merely time it better. Set lock_timeout to a second or two on the migration session so the DDL abandons the queue after a bounded wait and is retried, instead of holding it for as long as the oldest transaction lives. Be exact about what that buys: queries arriving during the wait still queue behind the pending ACCESS EXCLUSIVE request, so each attempt costs them up to one lock_timeout of added latency. The outage goes from 40 seconds to about one second per attempt, not to zero. Also run migrations away from deploy-time peaks, and put a statement timeout and an idle-in-transaction timeout on the analytics role that opens the long transactions.
Follow-up
- The same release also wants NOT NULL on that column. What is the sequence that gets there without a long lock?
- Your lock_timeout retry fails ten times in a row because the analytics transaction is always open. What do you change?
Built from the rounds and topics Vanasse Hangen Brustlin candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Vanasse Hangen Brustlin loop
- Write out the reported sequence: Phone Screen, Technical and Managerial Screening, Panel Interview.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.
02Work Angular
- Spend the session on Angular, which Vanasse Hangen Brustlin candidates report being tested on.
- Write one worked example in Angular and time yourself on it.
Deliverable: One timed worked example in Angular.
03Work .NET Core
- Spend the session on .NET Core, which Vanasse Hangen Brustlin candidates report being tested on.
- Write one worked example in .NET Core and time yourself on it.
Deliverable: One timed worked example in .NET Core.
04Work SQL
- Spend the session on SQL, which Vanasse Hangen Brustlin candidates report being tested on.
- Write one worked example in SQL and time yourself on it.
Deliverable: One timed worked example in SQL.
05Answer out loud: Full-Stack & Database Development
- Answer aloud, timed: Explain the lifecycle hooks in Angular and when you would use each.
- Answer aloud, timed: How do you optimize query performance in SQL Server when dealing with large datasets?
Deliverable: Spoken answers to 2 reported Full-Stack & Database Development question(s), under time.
06Answer out loud: Spatial Technologies & GIS
- Answer aloud, timed: Describe your experience working with Esri technology, such as ArcGIS API for JavaScript or ArcGIS Runtime SDKs.
- Answer aloud, timed: How do you store and query spatial data types (such as geography and geometry) in SQL?
Deliverable: Spoken answers to 2 reported Spatial Technologies & GIS question(s), under time.
07Answer out loud: Behavioral & Work Style
- Answer aloud, timed: Describe a time when you had to explain a complex technical concept to a non-technical stakeholder or client. How did you ensure they understood?
- Answer aloud, timed: How do you prioritize your tasks when working on multiple projects with competing deadlines?
Deliverable: Spoken answers to 2 reported Behavioral & Work Style question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
How do you handle state management in a complex Angular application?
How do you handle state management in a complex Angular application?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe your experience working with Esri technology, such as ArcGIS API for JavaScript or ArcGIS Runtime SDK
Describe your experience working with Esri technology, such as ArcGIS API for JavaScript or ArcGIS Runtime SDKs.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
What are the primary differences between vector and raster data, and how do you handle them in a web applicati
What are the primary differences between vector and raster data, and how do you handle them in a web application?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe a time when you had to explain a complex technical concept to a non-technical stakeholder or client.
Describe a time when you had to explain a complex technical concept to a non-technical stakeholder or client. How did you ensure they understood?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you prioritize your tasks when working on multiple projects with competing deadlines?
How do you prioritize your tasks when working on multiple projects with competing deadlines?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Tell me about a time you faced a major roadblock during a software project. How did you handle it and what was
Tell me about a time you faced a major roadblock during a software project. How did you handle it and what was the outcome?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you approach working in a collaborative environment where team members may have varying levels of techn
How do you approach working in a collaborative environment where team members may have varying levels of technical expertise?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
- 01
How do you handle state management in a complex Angular application?
- 02
Describe your experience working with Esri technology, such as ArcGIS API for JavaScript or ArcGIS Runtime SDKs.
- 03
What are the primary differences between vector and raster data, and how do you handle them in a web application?
- 04
Describe a time when you had to explain a complex technical concept to a non-technical stakeholder or client. How did you ensure they understood?
What is the primary technology stack used by the software engineering team at VHB?
The core stack consists of Angular and TypeScript on the frontend, Microsoft.NET Core (C#) on the backend, and SQL Server for database management, with a heavy emphasis on integrating Esri GIS technologies for spatial data visualization.
Vanasse Hangen Brustlin Software Engineer candidate reports ↗How technical are the interviews for this role?
The interviews are highly practical and conversational rather than purely theoretical. While you will discuss technical architecture, workflows, and your experience with their stack, you will not typically face high-stress, abstract whiteboard coding algorithms.
Vanasse Hangen Brustlin Software Engineer candidate reports ↗What is the work culture like for software engineers at VHB?
The culture is highly collaborative, professional, and supportive. Engineers work closely with multi-disciplinary teams across civil engineering, transportation, and environmental planning, making it an excellent environment for those who enjoy seeing the real-world impact of their code.
Vanasse Hangen Brustlin Software Engineer candidate reports ↗How long does the hiring process typically take?
The process can move very quickly, sometimes concluding within a couple of weeks from the initial screen to an offer. However, during exceptionally busy business cycles, communication and final decisions can take longer, so proactive follow-up is recommended.
Vanasse Hangen Brustlin Software Engineer candidate reports ↗What topics does Vanasse Hangen Brustlin test in interviews?
Vanasse Hangen Brustlin interviews most often cover Statistical Analysis, Stakeholder Communication, Project Management, Marketing Analytics, and Data Analysis. The exact emphasis depends on the specific role you apply for.
Vanasse Hangen Brustlin Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01Vanasse Hangen Brustlin Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
Explore related engineering environments and compare the preparation focus.
Vercel Software Engineer Interview Guide
Debugging practice for Vercel software engineer prep built on a reproduction you trust, narrowing to the smallest failing input, and changing one variable per run so the result stays attributable.
Spotify Software Engineer Interview Guide
Timed practice for Spotify software engineer candidates who lose time to the clock: short problems taken end to end, then reviewed against a written rubric rather than a passing test run.
Shopify Software Engineer Interview Guide
Timed practice for Shopify software engineer candidates who lose time to the clock: short problems taken end to end, then reviewed against a written rubric rather than a passing test run.
Ramp Software Engineer Interview Guide
Systems practice for Ramp software engineer candidates, weighted toward payments and lending work: the load that actually arrives, the failure modes that matter there, and the invariants a partial outage must not break.