Data Science
Data Engineer
Every clever dashboard, every machine-learning model, every executive report rests on plumbing that someone built and maintains. Data engineers build that plumbing. They design the pipelines that move information from production systems into warehouses where analysts and scientists can use it, and they keep those pipelines reliable as data volumes grow.
The role suits students who enjoy systems thinking and care about how things actually work under load. Days involve writing transformations in dbt, scheduling jobs in Airflow, and quietly catching bad data before it reaches a decision maker. Excellence shows as pipelines nobody notices because they never break.
You grow into this by writing a lot of SQL, picking up Python, and learning one cloud platform deeply.
US$119,658 median salary in United States¹
- StrategyIntermediateNew
Migrating from Relational to NoSQL for a Social Media Startup
You are given a simplified relational schema of SnapVibe's current database (users, posts, comments, likes). Your task is to: (1) analyze the limitations of the relational model…
- Nosql
- Mongodb
- Data Migration
Database Systems - DesignIntermediateNew
Build a Feature Store for a Fintech Fraud Team
You will design a feature-store layer covering 12 representative fraud features (account-level, merchant-level, transaction-level), with both batch (Spark) and online (low-laten…
- Feature Stores
- Data Pipelines
- Apache Spark
Machine Learning at Scale - AnalysisIntermediateNew
Cost-Optimize a Large-Scale Spark Job for an Ad-Tech Platform
You receive the Spark job source (PySpark), the EMR cluster config, and 5 nights of job-history JSON. Profile the job with the Spark UI + EMR metrics, identify the top 3 cost dr…
- Spark Optimization
- Cloud Services
- Cost Engineering
Cloud Computing for Data and ML - CodeIntermediateNew
Scale Feature Pipelines for a Hyperscaler Search-Ranking Team
You receive a synthetic-but-realistic 80 GB sample of the ranking events plus the existing Spark pipeline (PySpark) and a Spark UI snapshot from a recent production run. Profile…
- Apache Spark
- Distributed Systems Design
- Performance Profiling
Machine Learning at Scale Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- CodeIntermediateNew
Build a Feature Store Backbone for a Healthtech ML Team
You receive synthetic wearable telemetry (heart rate, accelerometer, sleep stages) for around 5,000 patients across 90 days, plus the existing scattered feature scripts from the…
- Feature Engineering
- Data Modeling
- Python Or Javascript
Data Engineering and Big Data Systems - CodeIntermediateNew
Build a Serverless ETL Pipeline for a Climate-Tech Sensor Fleet
Build the pipeline using managed services only (e.g., S3 + Lambda + EventBridge + Glue, or GCS + Cloud Functions + Cloud Scheduler + BigQuery external tables). Source the data f…
- Serverless Architecture
- Etl Pipelines
- Terraform
Cloud Computing for Data and ML - CodeIntermediateNew
Map a Climate-Policy Corpus to Linked Open Data
You receive 12,000 policy PDFs and a benchmark of 200 documents with manually linked entities (places, organizations, policies). Build a pipeline that runs NER, candidate-genera…
- Entity Linking
- Linked Open Data
- Wikidata
Knowledge Graphs and Semantic Web - CodeIntermediateNew
Migrate a Legacy Warehouse to a Lakehouse for an Edtech AI Platform
You receive a Postgres dump of around 50 GB and the current dbt models that produce the student-attempts mart. Land the raw data in object storage (S3 or GCS) as Parquet partiti…
- Lakehouse Architecture
- Delta Lake
- Apache Spark
Data Engineering and Big Data Systems - Browse challenges
Explore role
Product Manager
Ship product that solves real user problems. Combine user research, prototyping, and stakeholder alignment to turn ambiguous briefs into measurable wins — the role at the centre of modern software teams.
- DesignIntermediateNew
Design a Real-Time Order Pipeline for a Fintech Payments Platform
You receive a synthetic Kafka stream of around 500 transactions per second, a static merchant dimension table (about 80,000 rows), and a daily FX rate snapshot. Design an end-to…
- Streaming Data
- Kafka Event Streaming
- Stream Processing
Data Engineering and Big Data Systems - StrategyIntermediateNew
Designing a BI Strategy for a Regional Retail Chain
Your challenge is to design a BI architecture including a data warehouse (conceptual and logical models), an ETL strategy to integrate data from multiple sources (POS, inventory…
- Data Warehousing
- Etl Fundamentals
- Olap
Business Intelligence
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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¹ Median annual salary computed from the salary histogram of 50 current Adzuna job postings for "Data Engineer" in United States, fetched May 2026. Skills come from the disciplines tagged on live Ewance challenges for this role.
Portrait: Photo by Kuanish Reymbaev on Unsplash.



















































































