Senior Data Engineer, MadHive

$145-210k

SQL

GCP

JavaScript

Kafka

Postgres

Airflow

Snowflake

BigQuery

dbt

Senior and Expert level

Remote from US

Advertising solution leveraging cryptography and machine learning

Open for applications

Advertising solution leveraging cryptography and machine learning

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSAdvertisingVideo

Open for applications

$145-210k

SQL

GCP

JavaScript

Kafka

Postgres

Airflow

Snowflake

BigQuery

dbt

Senior and Expert level

Remote from US

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSAdvertisingVideo

Company mission

To empower our clients to create enduring relationships with consumers through maximum-fidelity, TV-first technology that elevates media, embodies relentless innovation, and ensures unrivalled revenue acceleration.

Job

Company

Role

Who you are

5+ years of experience in software or data engineering, with a focus on building scalable data infrastructure
Strong experience with data pipelining and modeling, including tools like Apache Airflow, Databricks, Snowflake and dbt
In-depth knowledge of streaming technologies such as Apache Kafka
Skilled in designing and maintaining ELT/ETL workflows using modern tooling
Proficient in SQL and comfortable working with both relational and NoSQL databases (e.g., Postgres, Bigtable, Spanner)
Experience working with cloud platforms, ideally GCP
Familiarity with JavaScript and front-end tracking concepts, especially in non-browser environments like CTV
Strong problem-solving and debugging skills, especially with distributed systems and large-scale event data
Excellent collaboration and communication skills
Bonus: experience in adtech, martech, or CTV attribution

What the job involves

We are seeking a Senior Data Engineer to join our growing data engineering team
In this role, you’ll play a crucial part in scaling the infrastructure that powers our universal pixel and transforming high-volume event data into reliable, actionable signals
You’ll work closely with cross-functional teams to build robust, scalable pipelines and models, while helping ensure high data quality across our platform
Design and implement scalable data pipelines for ingesting, processing, and transforming large volumes of universal pixel and event data
Build and maintain real-time and batch workflows using tools like Kafka, Airflow, and BigQuery
Collaborate with engineers and product teams to ensure event data is captured accurately through our JavaScript-based universal pixel
Own and optimize ELT processes to support reporting, analytics, and machine learning use cases
Develop and maintain data models to support internal stakeholders and platform features
Monitor pipeline health, implement anomaly detection, and maintain high data quality standards
Contribute to the evolution of our cloud data infrastructure (built on GCP)
Document data pipelines, models, and operational workflows for transparency and team knowledge sharing
Promote and enforce best practices in data engineering, observability, and data governance

Our take

The rise in streaming content has revolutionized digital advertising, offering advertisers the potential for more precise campaign calibration. However, alongside this opportunity come new challenges such as consumer overload, ad fraud, and data privacy concerns, compounded by the need to integrate with traditional linear television. Navigating these complexities requires a comprehensive solution, and that's where MadHive steps in.

Utilizing AI echnology, MadHive's video ad software suite tackles these challenges head-on. It intelligently identifies optimal ad placements, manages ad frequency to prevent saturation, and gauges consumer intent across various platforms including web, mobile, and TV. This capability allows advertisers to execute nationwide campaigns with pinpoint local targeting - a remarkable achievement in the dynamic digital content landscape.

Unsurprisingly, MadHive boasts an impressive client roster, boasting a 95% renewal rate with major names like Fox, McAfee, and Tegna Premion. This consistent satisfaction has propelled MadHive to expand its offering into critical areas such as data privacy. For instance, its $100M contract with Google Cloud not only enhances its security measures but also equips it with capabilities that smaller competitors will struggle to match.

Steph

Company Specialist at Welcome to the Jungle

Insights

36% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 3 rounds)

Jun 2023

$300m

LATE VC

Aug 2018

$3m

EARLY VC

Total funding: $306.4m

Company benefits

100% Company-Covered Health Insurance
Dental Benefits
Vision Benefits
Generous Maternity and Paternity Leave
$10k Towards Family Forming Benefits
Paid Holidays
Unlimited Vacation
401(k) Matching
Company Equity
Retirement Plans
Performance Bonuses
$1,000 Home Office Stipend
Free Lunch In-Office
Commuter Benefits

Company HQ

Tribeca, New York, NY

Leadership

Adam Helfgott

(Founder)

Previously CTO at Metrofunk, before co-founding Lookbooks Media, and serving on the Advisory Board to Blockdaemon. Is also a Project Lead at MAD Network.

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