Remote Dev Jobs
25 jobs available
Tetra Computing · 🇺🇸 United StatesRemote1d ago
HIRING: DATA ENGINEER – REMOTE, USA Position: Data Engineer Location: Remote – United States Work Model: 100% Remote Hours : Arizona (AZ) hours preferred Interview: Video Interview ️ Communication: Excellent communication skills required POSITION SUMMARY We are looking for a Data Engineer to join our growing team of analytics experts. The ideal candidate will have strong experience building and optimizing data pipelines, data architectures, ETL processes, IICS, SQL, AWS, Snowflake, and d…
Arbor Tek Systems · 🇺🇸 United StatesRemote1w ago
Role:- AWS Data Engineer Location: Remote (USA) Experience: 12 Years Employment Type: Contract W2 Over View We are seeking an experienced AWS Data Engineer to design, build, and optimize cloud-based data solutions. The ideal candidate will have strong hands-on experience with AWS Glue and Amazon Redshift, along with expertise in developing scalable ETL pipelines and data warehouse solutions on AWS. Required Skills: 10 years of experience in Data Engineering Strong hands-on experience with AWS G…
WelltechRemote1w ago
Headquarters: Cyprus URL: http://welltech.com Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK , we combine the scale of a market leader and the drive of a team that's just getting started. What We're Looking For As a Senior Data Engineer , you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company. This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment. Challenges You’ll Meet: Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights. Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics. Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business. Ensuring Data Quality: Develop and apply data quali
Kforce Technology Staffing · 🇺🇸 United StatesRemote2w ago
RESPONSIBILITIES: Kforce's client is seeking a Remote Data Engineer to design, build, test, and support enterprise data ingestion pipelines. This is a senior-level opportunity for someone who can work independently, operate comfortably with some ambiguity, and take ownership of data engineering work from source analysis through production support. The ideal candidate will have strong experience with data ingestion, enterprise ETL/data integration, Kafka, AWS, Python, and Snowflake, along with t…
Insight Global · 🇺🇸 United StatesRemote2w ago
Job Description We are seeking a highly skilled Data Engineer to design, build, and support scalable data solutions that power critical business reporting, analytics, and operational workloads. This individual will be responsible for developing robust data pipelines, optimizing data platforms, ensuring data quality, and collaborating across engineering and business teams to deliver reliable, high-quality data products. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipeline…
GDH · 🇺🇸 United StatesRemote4w ago
Role Summary This is a fully remote senior full-stack developer role supporting federal government background investigation services within a risk decision group. The position involves designing, developing, and optimizing web applications, database solutions, and ETL pipelines to support mission-critical projects. The role requires a comprehensive understanding of software development, data engineering, and Agile methodologies to deliver scalable and efficient technical solutions. Responsibili…
Cathcart Technology · 🇬🇧 Manchester, United KingdomRemote1mo ago
Data Engineer (Databricks) - 6 Months - Fully Remote - 400pd Inside IR35 A leading organisation is looking for a Data Engineer to join them on an initial 6-month contract . Working as part of a busy data team, you'll be responsible for supporting and enhancing critical data pipelines, ensuring the reliable delivery of key data products while contributing to ongoing modernisation and automation initiatives. Key Skills: Databricks Python SQL ETL /...
Insight Global · 🇺🇸 United StatesRemote1mo ago
Job Description The Alteryx to Dataiku Migration Developer will assess and convert existing Alteryx workflows, macros, and ETL processes into scalable Dataiku DSS solutions. On a daily basis, they will design, build, and optimize Dataiku workflows, recipes, and automated data pipelines while partnering with business and technical stakeholders to gather requirements and validate results. This individual will write and tune complex SQL queries, stored procedures, and validation logic to support m…
TekLeaders, Inc · 🇺🇸 United StatesRemote1mo ago
Title: Sr. Python Developer Location: Remote role Required Skillsets: - Proficiency in Python and SQL. - Extensive experience with Data Engineering and ETL. - Experience with AKS (Azure Kubernetes Service) and ETL related to applications containerized and deployed on AKS or EKS. - Proficiency in Synapse DB and Mongo/Cosmos DB, with deep database and ETL knowledge. - Proficiency in Azure Data Factory. - Experience with Ray experience required - Development of Microservices. - Ability to enhance …
AzumoRemote1mo 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 role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem. The ideal candidate has strong hands-on experience with Databricks , DBT , AWS , scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS Improve ingestion pipeline quality, reliability, scalability, and governance Develop and optimize core data models and foundational data tables Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting Implement data governance, data quality, lineage, and observability practices Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making Optimize large-scale data processing workflows for performance and cost efficiency Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations Build and maintain reliable orchestration workflows and scheduling systems Participate in architectural discussions around scalability, governance, and data platform modernization Required Skills: Strong experience with Databricks Strong SQL and Python programming exp
Stability AIRemote1mo ago
Headquarters: Los Angeles, CA or Remote (United States) Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Audio, Video, and 3D. As the Senior Product Engineer, Growth & Lifecycle Infrastructure , you will own the ground-up build of PLG growth and lifecycle infrastructure for our music and audio products — greenfield across web, desktop, plugin, and mobile. You'll choose the stack, design the event model, wire the integrations, and run the system. The output is a measurable, attributable funnel from anonymous visitor to paying customer to expanded account. This role sits at the intersection of growth marketing, product lifecycle, and community-driven PLG — the systems, how they live inside the product, and how they drive real conversion. What you'll do… Select and own the stack for the Music & Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements — including writing defensible recommendations with cost model and tradeoffs Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device Build and attribute the full growth funnel across paid, organic, partner, and in-product virality Architect in-app PLG motion: viral loops, referral mechanics, upgrade prompts, and sharing hooks Define and execute lifecycle marketing strategy: segmentation, behavioral triggers, and messaging cadences across activation, habit, and expansion Ship free-to-paid logic: trial mec
Rose International · 🇺🇸 United StatesRemote1mo ago
Python Etl Developer (Alteryx Migration) – Remote We are seeking a Python Developer to support the migration of existing workflow automation solutions into scalable Python-based applications. This role will focus on redesigning, developing, validating, and deploying data workflows while ensuring functionality and business outcomes are maintained throughout the conversion process. The ideal candidate will have strong Python and SQL development experience, along with expertise in data integration…
Hays Specialist Recruitment Limited · 🇬🇧 London, United KingdomRemote1mo ago
Your new company You will be working for a known organisation who are looking for an Informatica Engineer who is actively SC Cleared. This role won't be able to accept anyone who doesn't hold active SC clearance. This is a 6-month rolling contract and paying 600 per day inside IR35. The role is fully remote working. Your new role Key Responsibilities Design, develop and maintain ETL processes using Informatica PowerCenter, IICS, or related Infor...
Proxify ABRemote2mo 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
Insight Global · 🇺🇸 United StatesRemote3mo ago
Job Description We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data solutions that support both real-time and batch data processing. This role will be responsible for developing robust ETL pipelines, modeling complex data structures, and collaborating closely with cross functional teams to enable data-driven decision making across the organization. Responsibilities Design, build, and optimize scalable data pipelines and data platforms to support ana…
Excelgens Consulting Sverige Ab · 🇩🇪 Frankfurt, GermanyRemote57y ago
We are looking for an experienced AxiomSL Develpoer/ Implementation Consultant to support the implementation of an AxiomSL ControllerView custom solution on RegCloud . The consultant will work on implementing standard AxiomSL products for regulatory reporting and support localized customizations required for the European region. Tasks Key Responsibilities: Implement standard AxiomSL ControllerView solutions for regulatory reporting. Contribute to the delivery of a custom regulatory reporting solution for the European region. Work with stakeholders to understand regulatory reporting requirements. Support data analysis, transformations, and data quality activities where required. Collaborate with technical, business, and project teams throughout the implementation lifecycle. Work within Agile delivery methodologies and support project tracking through Jira. Requirements Required Skills & Experience: 3–5 years of hands-on experience using AxiomSL. Relevant experience implementing AxiomSL ControllerView solutions. Experience implementing standard AxiomSL products for regulatory reporting . Experience supporting localized customizations. Strong English communication skills. Must be based in Europe. Preferred Skills: Experience supporting custom solutions on RegCloud . Experience within financial institutions. Knowledge of regulatory reporting, risk, finance, or data management. Experience with ETL, data transformations, data quality controls, and workflow automation. Experience working in Agile environments and Jira. Strong stakeholder and client-facing skills. Nasdaq certification is a plus. Find Jobs in Germany on Arbeitnow
Sport Alliance GmbH · 🇩🇪 GermanyRemote57y ago
Join Sport Alliance and help build the data platform behind Magicline and Finion, serving thousands of gyms and 10M+ members. You'll tackle real engineering challenges, from high-volume data modeling and cost-efficient warehousing to freshness trade-offs and financial data that has to be exactly right. We're building an AI-first data team. We use cutting-edge LLMs and internal tools to work faster, and we expect you to use and improve them. The platform you build powers our AI and analytics, making clean, reliable, well-modeled data essential. Whether you're an experienced engineer ready to own the platform or a strong mid-level engineer eager to grow into the role, we'd love to hear from you. Your position in our team Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow. Design and evolve the data models that power analytics, operational use cases, and AI/ML across thousands of studios. Help raise the bar on data reliability — embed governance, testing, and lineage so both people and AI systems can trust the numbers by default. Partner with product, and other engineering teams to turn ambiguous business problems into robust data solutions. Evaluate and evolve new approaches with us — data mesh patterns, and emerging AI tooling — and help decide what genuinely earns a place in our stack. Grow into our financial and regulatory reporting workstream (Finion Capital), where correctness and auditability matter most. Your profile 3+ years in data engineering with a focus on data warehousing — and the appetite to take on more ownership than you've held so far. Strong SQL and Python for data work. Working with AI tools feels natural to you — and, just as important, the judgment to review and validate what they produce. You treat AI output as a draft to verify, not an answer to trust, especially where correctness is non-negotiabl
N2JSoft · Poste à distanceRemote57y ago
À propos de N2JSoft N2JSoft est une Fintech B2B SaaS spécialisée dans la gestion des dépenses professionnelles. Fondée en 2015, elle compte aujourd’hui 20 000 clients et 1M utilisateurs dans 98 pays , faisant de N2F l’un des leaders du marché français. N2F simplifie la gestion des frais professionnels : photo des justificatifs, reconnaissance automatique, validation, export comptable, archivage à valeur probante , etc. L’objectif : faire gagner du temps aux entreprises tout en sécurisant leurs processus internes. Après une croissance progressive, l’équipe est passée de 20 personnes en 2021 à 220 aujourd’hui , portée par le succès produit et l’expansion internationale. Nous partageons un objectif commun : devenir le leader européen de la gestion des notes de frais et des factures fournisseurs. En 2021, N2JSoft a élargi son expertise avec Keeple , un logiciel RH dédié aux congés, absences et temps de travail (hors périmètre de ce poste). Nous prévoyons de recruter 100 nouveaux collaborateurs d’ici 2027 . Notre objectif est également d’accélérer la croissance de nos produits, ce qui passe par le renforcement de notre équipe de développement. Quelques chiffres 220 collaborateurs , dont 45 dans l'équipe tech Notre site est basé à Montagnat (01) avec un format de télétravail hybride ou full remote. L’équipe tech Notre équipe est composée de développeurs/euses full stack expérimenté(e)s , réparti(e)s en squads : Notes de frais, Cartes de paiement pro, Invoices, Core… Chaque squad réunit : développeurs/euses, tech lead, team lead, product manager et testeur/euses QA. Stack et pratiques Front : Angular 16/21 Back : .NET 10 – C# Infra : AWS BDD : MSSQL, PostgreSQL, DynamoDB Architecture : monolithe modulaire Bonnes pratiques : tests unitaires, revues de code, pair programming, couverture Qodana, Microsoft Release Flow. Méthodo : Agile Scrum, sprints de 2 semaines (daily, weekly, rétro, planning). Le profil recherché Rattaché(e) à un(e) Team Lead dans l'une des squads produit,
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We’re a high‑energy cloud- and data engineering team looking for like-minded, motivated tech builders. We are driven by ownership and business outcomes. As the analytics unit within a global management consultancy, we turn data-driven strategies into production systems. Our clients are DAX and Fortune Global 500 leaders who trust us for our expertise across data platforms, big data and cloud engineering. You’ll join an international environment with agile squads and a boutique spirit with room to experiment and grow, paired with above‑market compensation and an attractive benefits package. What you’ll do as part of our cloud- and data engineering team: Take ownership for projects end to end: From scoping to stakeholder alignment and the delivery of measurable outcomes Design data architectures for batch and streaming workloads, both at small and big data scales Provision and manage the underlying cloud infrastructure to support those architectures on providers such as AWS, Azure or GCP Building Python ETL/ELT pipelines, orchestrated with Airflow, Dagster , or Prefect. Work with data lake technologies and optimize (OLAP) data ware-/ lakehouses Model and store data across SQL and NoSQL databases, as well as optimizing performance and costs Create web APIs with popular Python frameworks (e.g., FastAPI and Flask) and describe them using standards like OpenAPI /Swagger Automate deployments using Infrastructure-as-Code and container technologies such as Docker, Kubernetes or OpenShift Who you are A passionate data engineer who loves being at the forefront of modern, AI-driven technology, but also cares about the engineering craftmanship. Relevant hands-on experience with a cloud hyperscaler (preferably AWS, Azure or GCP). Preferably experience building production-grade software. Python development with idiomatic and well-tested code. Skilled in performance tuning and optimization of relational databases (e.g., through indexing, sharding or part
Jobrad Loop · 🇩🇪 Munich, GermanyRemote57y ago
Lust auf eine besondere Herausforderung? Du möchtest die technische Grundlage für datengetriebene Entscheidungen aktiv mitgestalten und nicht nur bestehende Systeme verwalten? Dann werde Teil unseres Teams als Senior Data Engineer und bring unsere Datenlandschaft auf das nächste Level. Du entwickelst skalierbare Datenarchitekturen, verantwortest geschäftskritische Pipelines und gestaltest aktiv, wie Daten im Unternehmen genutzt werden. Bei uns arbeitest du an Lösungen, die echten Impact haben: für unsere Teams, unsere Prozesse und unsere Zukunft. Let`s ride together! Was du brauchst, um erfolgreich zu sein Technische Expertise: Fundierte Erfahrung in Data Engineering sowie ein sicherer Umgang mit SQL, Python und modernen Datenplattformen (insbesondere mit Snowflake) zeichnen dich aus Pipelines & Datenverarbeitung: Erfahrung im Aufbau und Betrieb von ETL/ELT-Prozessen sowie die Fähigkeit, große Datenmengen effizient zu verarbeiten, bringst du mit Architektur & Datenmodellierung: Mit skalierbaren Datenarchitekturen (z. B. Data Lake, Data Warehouse) und Datenmodellierung bist du bestens vertraut und bringst idealerweise Erfahrung mit Workflow-Orchestrierungstools wie Airflow oder Dagster mit Cloud & Plattformen: Erfahrung mit Cloud-Umgebungen, idealerweise mit Fokus auf Azure (z. B. im Kontext von BI/Power BI), sowie ein gutes Verständnis bestehender AWS-Strukturen gehören zu deinem Profil Qualitätsverständnis: Ein ausgeprägtes Bewusstsein für saubere, stabile und wartbare Datenlösungen ist für dich selbstverständlich Arbeitsweise & Mindset: Eine strukturierte, eigenverantwortliche Arbeitsweise und ein hoher Qualitätsanspruch prägen deine tägliche Arbeit Sprachkompetenz: Du bringst zudem sehr gute Deutsch- sowie gute Englischkenntnisse mit Flexibilität: Ob remote oder vor Ort, du arbeitest flexibel und passt dich unterschiedlichen Arbeitsmodellen problemlos an Dein Beitrag zu unserer Erfolgsgeschichte Ownership & Aufbau: Du übernimmst die technische Verantwortung für u