Data Engineer
Empresa:

Darkroom



Função de trabalho:

Tecnologia da informação

Detalhes da Vaga

We're building the future of advertising and are looking for innovative minds to help us do it.
Darkroom is a vertically integrated digital agency pioneering the next generation of consumer-facing brands. A category leader in results-driven growth marketing, Darkroom's success is attributed to our unique partnership model, purposefully built to launch brands to market and accelerate growth across direct-to-consumer. We work with game-changing brands such as Crate & Barrel, Popchips, FEED, Olipop, & CALPAK.
Position Overview:
We're seeking a Data Engineer with a strong background in ETL processes, BigQuery, and Python to support a wide array of data engineering projects for our agency and enterprise clients. This role will focus on maintaining and optimizing our data infrastructure, ensuring the seamless flow of data, and providing the backbone for our data-driven decision-making.
This role supports teams working in US Eastern Standard/Daylight Time and should be flexible to support and work in these times.
What You'll Do:

Design, build, and maintain scalable ETL processes to support data flow from various sources.
Maintain and optimize our BigQuery database, ensuring high performance and data integrity.
Write, troubleshoot, and optimize SQL queries to support various data needs.
Use Python to automate data processes, integrate data sources, and enhance data workflows.
Collaborate with cross-functional teams, including Operations, Product, Marketing & Sales, Finance, and Engineering, to solve complex data problems.
Develop and maintain dashboards and reports in Looker Studio to provide actionable insights to clients and internal teams.
Ensure continuous improvement of data processes through iterative testing and learning strategies.

You Should Apply If This Sounds Like You:

1 - 3 years of industry experience in data engineering, with a focus on maintaining and optimizing large-scale data systems.
Expertise in BigQuery, SQL, and Python for data processing, automation, and analysis.
Proven experience with ETL processes and tools.
Familiarity with data visualization tools, especially Looker Studio.
Strong analytical skills and the ability to manipulate, analyze, and interpret large datasets.
Experience in e-commerce marketing, with a strong understanding of platforms like Shopify, Meta (formerly Facebook) Ads, and Google Ads, is a plus.
Self-starter with an entrepreneurial spirit who thrives in a fast-paced environment.

What It's Like to Work at Darkroom:
We're building the future of advertising and are looking for the minds to help us do it. We only seek out the best—from our clients to our people. Our team is our most sacred asset, and we offer highly competitive salaries and the following perks:

Unlimited Vacation Policy and Holidays: Rebooting is one of the most important parts of growth. At Darkroom, you have access to a flexible vacation policy, and 10 holidays throughout the year to keep you recharged and sharp.
Remote-First Culture: With hubs in LA, The Bay Area, New York, Philly, Lisbon, São Paulo, and Pakistan, we offer a strong community base and endless opportunities for growth.
Endless Opportunities for Growth: Our agency is founded on an interdisciplinary approach, giving Darkroomers insights into services far beyond your job description. Grow your skills and interests beyond your niche and stay at the forefront of the industry through total immersion in cross-functional collaboration.

Equal Opportunity Statement:
Darkroom is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Fonte: Whatjobs_Ppc

Função de trabalho:

Requisitos

Data Engineer
Empresa:

Darkroom



Função de trabalho:

Tecnologia da informação

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