Senior Data Engineer

United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, Advertising Technology, SoftwareIndustries

Requirements

Candidates should have over 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 is required. In-depth knowledge of streaming technologies such as Apache Kafka, proficiency in SQL, and experience with cloud platforms, ideally GCP, are also necessary. Familiarity with JavaScript and front-end tracking concepts, strong problem-solving skills, and excellent collaboration and communication skills are essential. Bonus points for experience in adtech, martech, or CTV attribution.

Responsibilities

The Senior Data Engineer will design and implement scalable data pipelines for ingesting, processing, and transforming large volumes of data. They will build and maintain real-time and batch workflows, collaborate with cross-functional teams to ensure accurate event data capture, and own and optimize ELT processes. Responsibilities include developing and maintaining data models, monitoring pipeline health, implementing anomaly detection, maintaining high data quality standards, contributing to cloud data infrastructure evolution, and documenting data pipelines and workflows. The role also involves promoting and enforcing best practices in data engineering, observability, and data governance.

Skills

Data Pipelines

ETL

ELT

Kafka

Airflow

BigQuery

GCP

JavaScript

Data Modeling

Anomaly Detection

Data Quality

Cloud Data Infrastructure

Madhive

Programmatic advertising for Connected TV campaigns

About Madhive

MadHive focuses on programmatic advertising in the Connected TV (CTV) space, providing tools for clients to plan, execute, and measure their TV ad campaigns. Its platform includes features for performance prediction, custom reporting, and audience targeting across Over-The-Top (OTT) markets in the U.S. What sets MadHive apart is its decisioning engine and data mapping capabilities, which allow for precise targeting in 210 domestic Designated Market Areas (DMAs). The company's goal is to improve the efficiency and effectiveness of TV advertising through advanced technology.

New York City, New YorkHeadquarters

2016Year Founded

$298MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Risks

Competition from established CTV players like Roku and Amazon could pressure MadHive's market share.

Rapid evolution of privacy regulations may increase MadHive's operational costs.

Reliance on third-party data providers poses risks if partnerships face disruptions.

Differentiation

MadHive integrates secure blockchain technology for privacy-focused advertising solutions.

The platform covers 100% of OTT markets across 210 US DMAs.

MadHive offers customizable solutions, allowing clients to use their own data and systems.

Upsides

Increased demand for privacy-focused advertising aligns with MadHive's blockchain integration.

The rise of cross-platform measurement tools complements MadHive's customer intent data capabilities.

The shift towards programmatic advertising in CTV benefits MadHive's comprehensive solutions.

Land your dream remote job 3x faster with AI

Try Jobo Free