Senior Data Engineer

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Here’s what you can expect when you join MWDN:

• Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
• Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
• Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
• Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

• 5+ years of professional data engineering experience
• 2+ years working with programmatic advertising and ad-tech data (GAM)
• Strong proficiency in Python and SQL
• Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
• Experience with batch processing frameworks (Spark, dbt, Airflow)
• Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
• Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
• Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience

Data Sources (Familiarity Required):

• SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
• Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics:

• Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
• Auction analytics: bid landscape, floor optimization, timeout analysis
• Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
• Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack:

• Languages: Python, SQL, Scala (nice to have)
• Processing: Apache Spark, dbt, Apache Flink
• Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
• Orchestration: Airflow, Dagster, Prefect
• Storage: S3, GCS, Delta Lake, Parquet
• Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

• Experience with ML feature engineering for bid optimization or yield prediction
• Background in building data products for publisher-side monetization
• Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
• Experience with CTV/OTT advertising data and video ad metrics
• Knowledge of identity resolution and cross-device data challenges

• Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
• Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
• Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
• Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
• Build and maintain data warehouses and lakes optimized for ad-tech query patterns
• Implement data quality monitoring, validation, and anomaly detection for data streams
• Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
• Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• 29 days of PTO (18 working days per year pluse all national holidays)
• 10 paid recovery days
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers
• Dedicated HR support

✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer