Remote Jobs

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Senior Marketing Data Engineer/Analytics Engineer

Automattic

Location
Brazil
Posted
Salary Range
90k - 150k USD

Marketing Data Engineer at Automattic: Design ETL pipelines, ensure data quality, and establish scalable data architecture for marketing data unification.

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Data Analytics Engineer III

MyFitnessPal

Location
United States of America
Posted
Salary Range
130k - 150k USD

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Senior Analytics Engineer

Taskrabbit

Location
United States of America
Posted
Salary Range
115k - 160k USD

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Senior Analytics Engineer

Trafilea

Location
Argentina
Posted

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Senior Analytics Engineer

brightwheel

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United States of America
Posted
Salary Range
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Senior Analytics Engineer

Apollo.io

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United States of America
Posted

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Senior Analytics Engineer

Taskrabbit

Location
United States of America
Posted
Salary Range
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Senior Analytics Engineer

Workiva

Location
United States of America
Posted
Salary Range
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Senior Analytics Engineer

Kueski

Location
Mexico
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Analytics Engineer III para desarrollar conjuntos de datos confiables y bien gobernados con alto impacto en Kueski

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Senior Analytics Engineer

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Location
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Salary Range
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Senior Data Engineer

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Senior Data Engineer

Wealthfront

Location
United States of America
Posted
Salary Range
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Senior Data Engineer

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Brunei Darussalam
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Senior Data Engineer

Kueski

Location
Mexico
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Senior Data Engineer

Workiva

Location
United States of America
Posted
Salary Range
111k - 178k USD

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Senior Data Engineer

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Argentina
Posted

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Senior Data Engineer

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Croatia
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Senior Data Engineer

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Senior Data Engineer for AI-powered event platform with 5+ years of experience in ETL, transformation pipelines, and workflow orchestrators.

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Senior Data Engineer

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Senior Marketing Data Engineer/Analytics Engineer

Automattic

Job Location

BrazilBritish Virgin IslandsBrunei DarussalamCambodiaCameroonCanadaCayman IslandsCentral African RepublicChileHong Kong, SAR ChinaMacao, SAR ChinaColombiaComorosCongo, (Kinshasa)Cook IslandsCosta RicaCôte d'IvoireCroatiaCubaDenmarkDjiboutiDominicaEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFijiFinlandFranceFrench GuianaGabonGambiaGeorgiaGermanyGreeceGreenlandGrenadaGuadeloupeJamaicaJapanMaltaAlgeriaAndorraAngolaAntigua and BarbudaArmeniaArubaAustriaAzerbaijanBahamasBangladeshBarbadosBelgiumBelizeBeninBermudaBhutanBotswanaBulgariaBurkina FasoBurundiChadCyprusArgentinaSwazilandSwedenKenyaKiribatiKorea (South)MalaysiaMaldivesMaliNauruNepalPakistanPalauPanamaPapua New GuineaParaguayPeruSaint LuciaSamoaSierra LeoneSlovakiaSloveniaLao PDRLatviaLesothoLiberiaLibyaLithuaniaLuxembourgMacedonia, Republic ofNetherlandsNew ZealandNicaraguaNigerNigeriaNorwayPhilippinesPolandPuerto RicoRomaniaRwandaSaint-BarthélemySolomon IslandsSomaliaSouth SudanSpainSri LankaSudanSurinameTanzania, United Republic ofThailandTimor-LesteTogoMadagascarMalawiMongoliaTurkeyUgandaUkraineVenezuela (Bolivarian Republic)Viet NamVirgin Islands, USAfghanistanChinaCongo (Brazzaville)Czech RepublicDominican RepublicGhanaAlbaniaAustraliaBelarusBoliviaGuatemalaGuineaGuinea-BissauLiechtensteinMarshall IslandsMartiniqueMauritaniaMauritiusMexicoMicronesia, Federated States ofMonacoMontenegroMyanmarSingaporeSouth AfricaTongaTurks and Caicos IslandsUnited KingdomUnited States of AmericaUruguayVanuatuZambiaZimbabweBosnia and HerzegovinaCape VerdeMoldovaMontserratMoroccoMozambiqueNamibiaNetherlands AntillesSaint Pierre and MiquelonPortugalRussian FederationSaint Kitts and NevisSaint-Martin (French part)Trinidad and TobagoTunisiaTuvaluSaint Vincent and GrenadinesSan MarinoSao Tome and PrincipeSenegalSerbiaSeychellesGuyanaHaitiHondurasHungaryIcelandIndiaIndonesiaIrelandItaly

Salary Range

90k - 150k USD / YEAR

Job Summary

Automattic is seeking a Marketing Data Engineer to join their Growth Infra team. The role involves designing and developing ETL pipelines, ensuring data quality, and establishing scalable data architecture for marketing data unification. As a Marketing Data Engineer, you will collaborate with stakeholders, partner with teams, and directly impact the efficiency of marketing at Automattic. You will work on innovative projects, contribute to code reviews, and participate in knowledge-sharing activities. The company offers flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. With a salary range of $90,000-$150,000 USD, this role is ideal for high-caliber candidates with data engineering and analytics skills.

At Automattic, the company behind WordPress.com, WooCommerce, Jetpack, and Tumblr, we’re building an internal marketing automation platform to streamline how we handle marketing data and tools. As such, we’re looking for a Marketing Data Engineer to join our Growth Infra team. This role requires a unique blend of data engineering and analytics engineering. You’ll play a critical part in creating robust ETLs, ensuring data quality, and establishing scalable data architecture to unify marketing data across the company. By joining us, you’ll have the opportunity to work on innovative projects, collaborate across teams, and directly impact the efficiency and effectiveness of marketing at Automattic.

Responsibilities

  • Design, develop, and maintain ETL (extract, transform, and load) pipelines: Build and manage scalable ETL pipelines and data integration processes using tools like Meltano, Fivetran, or custom-built solutions.

  • Data Quality Assurance: Implement robust data validation checks and mechanisms to ensure the integrity, quality, and reliability of marketing data.

  • Data Modeling: Architect and develop data models to support marketing segmentation, personalization, and automation.

  • Collaboration: Partner with stakeholders, including marketers, analysts, and engineers, to gather requirements, define solutions, and deliver reusable data models for marketing campaigns.

  • Monitoring and Optimization: Monitor, troubleshoot, and optimize ETL pipelines to ensure efficiency and reliability over time.

  • Data Architecture: Contribute to the design and implementation of data architecture supporting the internal marketing automation platform.

  • Compliance: Ensure all solutions adhere to security, privacy, and compliance standards.

  • Knowledge Sharing: Participate in code reviews, documentation efforts, and knowledge-sharing activities to foster collaboration and continuous learning.

  • Process Improvement: Identify opportunities to streamline processes, reduce technical debt, and promote best practices for data engineering.

  • Stay Current: Keep informed about emerging trends and technologies in data engineering and marketing automation.

Requirements

  • Proven experience designing and maintaining ETL pipelines using tools such as Meltano, Fivetran, Airflow, or similar.

  • Strong proficiency in SQL, including advanced concepts like window functions and CTEs (Common Table Expressions).

  • Experience with data validation, testing, and ensuring high data quality in complex workflows.

  • Solid understanding of data architecture principles, including building scalable and efficient models for marketing and analytics.

  • Familiarity with marketing data and segments, including CRM, attribution, and campaign performance metrics.

  • Strong programming skills in Python or a similar language commonly used in data engineering.

  • Excellent problem-solving skills and a proactive approach to identifying and resolving pipeline issues.

  • Exceptional communication skills to explain technical concepts to both technical and non-technical stakeholders.

  • A commitment to documenting processes and promoting best practices for maintainable data infrastructure.

Salary range: $90,000-$150,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves.