Remote Dev Jobs

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AzumoRemote1w ago

Headquarters: Buenos Aires, Argentina URL: http://azumo.com Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This position will give you the opportunity to collaborate with a growing team and bright engineering minds in big data computing. You will enjoy the role if you love designing and developing scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or any similar frameworks , both on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI and ML platforms is what we are looking for. At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Basic Qualifications: BS or Master’s degree in Computer Science, related degree, or equivalent experience 5+ years experience with data-related and data management responsibilities Deep expertise in designing and building data warehouses and big data analytics systems Practical experience manipulating, analyzing and visualizing data Self-driven and motivated, with a strong work ethic and a passion for problem solving Professional English proficiency (B2/C1) Preferred Qualifications: Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole Prior experience with notebooks using Jupyter, Google Collab, or similar. Benefits C

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Senior Software Engineer - Data Platform

CoinbaseRemote3w ago

Headquarters: Remote - Canada Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Data Platform team within the Platform group, you will help build the systems that centralize all of Coinbase's internal and third-party data. The Data Platform team makes it easy for teams across the company to access, process, and transform data for analytics, machine learning, and powering end-user experiences. You'll contribute to the full spectrum of our systems, from foundational data storage and processing to scalable pipelines, frameworks, and internal applications that make data efficiently available to every team at Coinbase. What you'll do: Own the design, development, and operation of foundational data services spanning cloud data warehouses, data lakes, orchestration (Airflow), batch processing (Spark, SQL), streaming (Kafka), query federation, and real-time event aggregation stores. Build and maintain data integration and processing SDKs used by internal services and product teams throughout Coinbase to interact with the data platform reliably at scale. Deliver self-service applications that empower users to manage, monitor, and troubleshoot their own data pipelines running on our platform infrastructure. Architect end-to-end data security and observability services, including access controls across multiple storage and access layers, data quality tracking, dataset cataloging, lineage, and usage aud

CA$191K/yr

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Python Developer (Remote – PST)

E-Solutions, Inc. · 🇺🇸 United StatesRemote3w ago

Hi Professionals, Python Developer (Remote – PST) Role: Support and enhance batch-processing applications in a healthcare communication environment. Key Responsibilities: Maintain and troubleshoot batch applications. Develop new features and batch solutions. Monitor batch jobs and resolve failures. Support ad-hoc member mailings. Assist with software/platform upgrades and technical debt. Required Skills: Python PySpark FastAPI AWS SQL Preferred Skills: Java Apache Airflow / AWS EMR Facets (Heal…

$85K–$95K/yr

AI Data Engineer - Remote / Telecommute

Cynet Systems · 🇺🇸 United StatesRemote1mo ago

We are looking for AI Data Engineer - Remote / Telecommute for our client in Nashville TN . Job Title: AI Data Engineer - Remote / Telecommute Job Location: Nashville TN Job Type: Contract Job Overview: Requirement/Must Have: 1 years of experience in Python, SQL, and PySpark. Experience in ETL/ELT development. Knowledge of Data Modeling (Star Schema, Snowflake Schema). Familiarity with Apache Spark and Databricks. Experience with Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools…

$114K/yr

Senior Data Engineer (Python)

Proxify ABRemote1mo ago

Headquarters: Sweden URL: http://career.proxify.io The Role: We are looking for a Senior Data Engineer to architect and scale the data foundations for one of our high-growth client products. The ideal candidate is a Python expert who treats data infrastructure as software, implementing CI/CD, unit testing, and observability into every layer of the modern data stack. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products. What we’re looking for: 5+ years of experience building complex data processing applications using Python (Pandas, PySpark, or Dask). Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses. Deep experience with dbt (data build tool) for managing the T in ELT, including documentation and testing. Proven experience with Apache Airflow, Prefect, or Dagster for managing complex dependency graphs. Hands-on experience with Snowflake, BigQuery, or AWS Redshift. Strong understanding of Dimensional Modeling (Star/Snowflake schema) and Data Vault 2.0. Experience with Git, Docker, and implementing CI/CD for data pipelines. Nice-to-Have: Experience building Real-time Pipelines using Kafka or Flink. Familiarity with Data Contracts and Data Quality frameworks (Great Expectations, Monte Carlo). Knowledge of Vector Databases (Pinecone, Milvus) for AI/LLM applications. Infrastructure as Code (Terraform) experience. Responsibilities: Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization. Implement rigorous automated testing and monitoring to ensure data integrity and reliability. Optimize warehouse storage and compute costs while reducing pipeline latency. Partner with Data Scientists and Product Managers to translate business requirements into technical data models. Promote a 'DataOps' culture within the team, conducting code reviews and sharing best practices. Wh

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Remote GCP Data Engineer

Insight Global · 🇺🇸 United StatesRemote5mo ago

Job Description Design, build, and optimize BigQuery datasets and SQL models Develop and maintain batch and streaming pipelines using Dataflow/Beam Orchestrate workflows in Airflow/Cloud Composer Implement scalable ETL/ELT pipelines with incremental and CDC patterns Tune performance and manage query/storage costs Ensure data quality, schema evolution, and lineage tracking Collaborate with analytics, engineering, and business teams Secure sensitive data using best practices for compliance Monito…

$148K/yr

(Senior) Data Platform Engineer (all genders) - Parental leave cover 12 months

moia · 🇩🇪 Berlin, GermanyRemote57y ago

<h2>Join us as a (Senior) Data Platform Engineer (all genders) in our Data Applications Platform team (parental leave cover for 12 months) and help shape the future of autonomous mobility!</h2> The Data Applications Platform team is at the heart of MOIA’s data ecosystem. We build and operate the core applications and APIs that make data accessible, usable, and actionable across the company. Our mission is to empower over 25 teams to work independently and effectively with data by providing robust, scalable, and developer-friendly platforms. We own and maintain key products like Airflow, QuickSight, Data Export API, and CubeJS. Our team focuses on automation, tooling, and application development on AWS to ensure that data at MOIA flows securely, reliably, and at scale. <h2>What you will do</h2> <ul data-local-id="58f5bd53-36c9-4ea7-b240-be334fac1294" data-indent-level="1"> <li> Build and operate core data platform applications such as Airflow, Q

Full-Time

Senior

Cloud & Platform Engineering

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Senior Snowflake Data Engineer (m/w/d)

Jobrad Loop · 🇩🇪 Munich, GermanyRemote57y ago

Lust auf eine besondere Herausforderung? Du möchtest als Senior Data Engineer nicht bei null anfangen, sondern eine bestehende Data Platform gezielt weiterentwickeln und nachhaltig prägen? Bei uns ist Data mehr als ein Trend – wir machen Daten zu einem echten Erfolgsfaktor. Unsere Datenlandschaft bildet bereits eine starke Grundlage, die wir gemeinsam mit dir technologisch weiterentwickeln und skalieren möchten. Mit deiner Expertise entwickelst du moderne Data Pipelines , skalierbare Data Architekturen und leistungsfähige Lösungen auf Basis von Snowflake . Als Senior setzt du fachliche Impulse, übernimmst eine Mentor:innenrolle und unterstützt dein Team dabei, gemeinsam die nächste Stufe im Data Engineering zu erreichen. Let's ride together! Was du brauchst, um erfolgreich zu sein Fundierte Erfahrung: Du verfügst über mehrjährige Berufserfahrung (mind. 5-7 Jahre) im Data Engineering und hast bereits komplexe Datenplattformen sowie skalierbare Datenlösungen erfolgreich umgesetzt Snowflake-Expertise: Du bringst fundierte Praxiserfahrung mit Snowflake mit und verfügst über ein gutes Verständnis moderner Datenarchitekturen, Performance-Optimierung und Best Practices Technisches Know-how: Du beherrschst SQL und Python sicher und hast idealerweise Erfahrung mit Tools wie dbt , Apache Airflow oder Dagster sowie Cloud-Technologien, vorzugsweise Azure Data-Engineering-Kompetenz: Du kennst dich mit dem Aufbau und Betrieb von ETL-/ELT-Pipelines , Datenmodellierung sowie Data Warehouses und Data Lakes aus Architektur & Qualität: Du verfügst über ein gutes Verständnis für skalierbare Datenarchitekturen und legst Wert auf stabile, performante und wartbare Lösungen Seniorität & Zusammenarbeit: Du überzeugst durch Eigenverantwortung, technisches Urteilsvermögen und die Fähigkeit, dein Wissen als fachliche:r Sparringspartner:in weiterzugeben Kommunikation: Du kommunizierst sicher auf Deutsch und verfügst über gute Englischkenntnisse Dein Beitrag zu unserer Erfolgsgeschichte Unsere D

+6 more

Senior Machine Learning Engineer, Recommendations (Experience)

Soundcloud71 · 🇩🇪 Berlin, GermanyRemote57y ago

<div>SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud.</div> <div> <div> We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love. You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams. </div> Key Responsibilities: <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 10pt;" data-section-id="57hkjq" data-start="2354" data-end="2438">Develop, test, and productionize ML

Full-Time

Senior

Engineering & Infrastructure

+8 more

Gismart · RemoteRemote57y ago

About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: Deliver what matters Respect and support others Initiate and own Voiceopenly Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com . Responsibilities Design, build, and maintain ETL/ELT pipelines using SQL/Apache Spark (AWS Glue) and Airflow. Model and optimize data in Amazon Redshift and query large datasets via Amazon Athena. Write advanced SQL to transform raw data into clean, joinable, analysis-ready tables. Build and maintain Tableau dashboards and data sources, ensuring accuracy, performance, and usability for business stakeholders. Partner with stakeholders (marketing, product, BI) to translate business questions into robust data models. Ensure data quality by implementing checks/monitoring and documenting the data warehouse. Improve pipeline reliability, performance, and cost-efficiency on AWS, including evaluating and adopting dbt for transformations. Requireme

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Senior Full Stack Developer*in (m/w/d)

NeoBird Digital · 🇩🇪 Fürth, GermanyRemote57y ago

Wir suchen Verstärkung für die Entwicklung moderner Webanwendungen und skalierbarer Backend-Services in verteilten Systemen. Dabei arbeitest du als fester Bestandteil im Entwicklungsteam unseres Kunden und gestaltest technische Architekturen, Schnittstellen und Datenmodelle von der Konzeption bis zur Umsetzung aktiv mit. Aufgaben o Design & Entwicklung von Frontend-Applikationen und Backend-Services in verteilten Systemen o Konzeption von Business-Logik sowie Entwicklung robuster, skalierbarer Services o Planen und Treffen von Technologie- und Architekturentscheidungen o Erstellung technischer Spezifikationen wie ER-Modelle und Schnittstellendefinitionen o Weiterentwicklung bestehender Systeme unter Verwendung von state-of-the-art Technologien o Sicherstellung der Code-Qualität durch Integrations- und Unit-Tests, Clean Code und CI/CD-Prinzipien Qualifikation o Mehrjährige Erfahrung mit TypeScript, modernem JavaScript (ES6+) und Node.js o Fundierte Kenntnisse in der Entwicklung von RESTful APIs und/oder GraphQL o Sehr gutes Verständnis von relationalen Datenkbanken (Postgres, MariaDB, etc.) o Konkrete Projekterfahrung mit React (Vue, Angular, Svelte, etc. sind niceto- have) o DevOps-Grundverständnis, idealerweise Erfahrung mit Docker (Kubernetes von Vorteil) o Erfahrung oder Interesse an Workflow-/Prozessplattformen (z. B. Camunda, Apache Airflow) oder Event-Streaming (z. B. Kafka, BullMQ) o Bewusstsein für Security, Datenschutz und Transparenz (TLS, OAuth2, DSGVO) o Bereitschaft für On-Site Arbeit in Wien einmal im Monat Benefits NeoBird ist ein Software- und Game-Development-Studio aus Deutschland. Wir entwickeln individuelle Softwarelösungen, interaktive Anwendungen, Games, 3D-Visualisierungen sowie AR- und VR-Erlebnisse. Bei uns arbeitest du nicht an starren Standardlösungen, sondern an abwechslungsreichen Projekten mit technischem Anspruch. Das aktuelle Simulationsprojekt ist der Einstieg – langfristig kannst du deine Erfahrung auch in andere Bereiche einbringen

Full-Time

Senior

Full-Stack Development

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