Remote Dev Jobs
16 jobs available
Digitive LLC · 🇺🇸 United StatesRemote4d ago
Position : Technical Lead Palantir Data Engineer Location : Dallas TX Fulltime Hire Must commit to 2 all in IT Summits & 4 trips to Dallas a year. Company will pay for trips. Final interview will be in person (Company will fly the candidate into Dallas, Texas) DETAILS : Skills: Lead Data Engineer, Python, SQL, ETL, Palantir Foundry, Pyspark, Pandas, Palantir Ontology Lead Senior Palantir Data Engineer to serve as the technical authority for the enterprise data and analytics platform. This role …
Oraapps Inc · 🇺🇸 United StatesRemote6d ago
Job Title: Azure Data Engineer Job Location: Remote (USA) Job Type: Contract (12 Months) Very Important: W2 for all visa types Fully Remote Must Have: Advanced Databricks experience PySpark Python ETL/ELT Pipeline Development Strong SQL Azure Data Factory (ADF) Azure Cloud (or AWS/Google Cloud Platform experience) Big Data Processing Data Integration (APIs, Flat Files, Databases) Azure Data Lake Storage (ADLS) Secure External Connections (Service Principals, SAS Tokens, OAuth) Data Security & …
Arbor Tek Systems · 🇺🇸 United StatesRemote1w ago
Job Title: AWS Data Engineer Location: Remote (USA) Experience:- 12 Years of experience Employment:- Contract W2 (Independent Visa) 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: 12 years of experience in Data Engineering Str…
MedfarRemote1w ago
Headquarters: 205-1224 Stanley Street, Montreal, Quebec, Canada URL: http://medfarsolutions.com Description de l'entreprise MEDFAR Solutions Cliniques a été fondée en 2010 par deux ingénieurs aéronautiques qui ont réalisé que les systèmes de santé n'exploitaient pas le plein potentiel de la technologie. Soutenue par une vaste communauté d'experts médicaux et axée sur le succès des cliniques et la sécurité des patients, MEDFAR a été la première entreprise à certifier un Dossier Médical Électronique infonuagique au Canada, MYLE (Make Your Life Easy). Engagée à promouvoir l'excellence et l'efficacité des soins de santé dans le monde entier, MEDFAR se différencie en offrant une solution de gestion de soins unique pour les cliniques, qui remplace les processus inefficaces par une alternative technologique plus rapide et plus sécuritaire. Description du poste En tant que Spécialiste senior Cloud / DevOps, tu es responsable de la conception, de la mise en place et de la maintenance des infrastructures cloud et des solutions de plateforme, avec un haut niveau d’autonomie. Tu prends des décisions techniques de manière indépendante, en veillant à ce que les systèmes soient évolutifs, sécurisés et alignés avec les standards de l’organisation ainsi qu’avec les objectifs SRE. Dans ce rôle, tu pilotes des projets complexes, contribues à l’amélioration des infrastructures, de l’observabilité et des processus opérationnels, et accompagnes les membres de l’équipe. Tu collabores avec les architectes, les équipes produit et les parties prenantes afin de garantir que les solutions techniques répondent aux besoins métiers et opérationnels. Responsabilités principales Leadership en infrastructure : Concevoir et maintenir de manière autonome des infrastructures cloud évolutives et sécurisées à l’aide d’Infrastructure as Code (IaC). Standardisation des plateformes : Définir et faire évoluer les standards, lignes directrices et bonnes pratiques pour les déploiements cloud et les architectur
Cynet Systems · 🇺🇸 United StatesRemote1w 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…
Proxify ABRemote2w 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
Kforce Technology Staffing · 🇺🇸 United StatesRemote2w ago
RESPONSIBILITIES: Kforce has a client in NYC that is seeking a Remote Data Engineer. Responsibilities: * Develop, maintain, and optimize SQL-based ETL processes, stored procedures, and data transformations across DB2, SQL Server, Datastage, Collibra and AWS * Define the enterprise data engineering architecture and technology standards across DB2, SQL Server, IBM DataStage, IBM Workload Scheduler, Oracle GoldenGate, Collibra and AWS * Develop and maintain data integration workflows from source s…
Vaco by Highspring · 🇺🇸 United StatesRemote4w ago
Data Engineer / QA DETAILS Location : Remote Position Type : 16M Contract Hourly / Salary : to $75W2 (based on experience) JOB SUMMARY Vaco is currently seeking a Data Engineer / QA for a 16M Contract opportunity that is remote. The Data Engineer / QA will support a large-scale enterprise data modernization initiative focused on building cloud-native data pipelines, modernizing legacy ETL processes, and delivering trusted, high-quality analytical data within Snowflake. The Data Engineer / QA wi…
Insight Global · 🇺🇸 United StatesRemote1mo 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…
K Anand Corporation · 🇺🇸 United StatesRemote2mo ago
Role- Databricks Data Engineer Work Location: Houston (TX)- Remote with Travel Skills- Data Engineer We are seeking an Databricks Data Engineer who can play a crucial role in our Fintech data lake project. What You Bring - 4 years of experience working in data warehousing systems - 2 strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows for data processing and pipeline development - 2 strong hands-on data transformation/ETL skills using Spark SQL, Pyspark,…
Insight Global · 🇺🇸 United StatesRemote3mo ago
Job Description Insight Global is seeking a Data Quality Engineer for a large enterprise client operating within a modern Azure-based cloud data ecosystem. This individual will play a critical role in ensuring the quality, integrity, performance, and security of Snowflake data warehouse solutions. The engineer will partner closely with data engineers, BI teams, and product owners to validate complex ETL/ELT pipelines, automate data quality checks, and support CI/CD deployments. This role is ide…
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…
paiqo GmbH · JobRemote57y ago
We digitize decisions with data—would you like to get involved? In the role of Senior Azure Data Engineer, you will design the architecture of modern lakehouse platforms and enable self-service data access. You will combine Azure services (OneLake, Fabric, Databricks, Mirroring) to create scalable end-to-end solutions and implement governance, security, and cost optimization strategies. Your work will lay the foundation for successful AI projects. Tasks & Responsibilities Architecture of lakehouse platforms with Fabric/OneLake, Synapse, and Delta Lake; introduction of zero-ETL data integration via mirroring Implementation of Unity Catalog for centralized data management and fine-grained access control, as well as integration with Purview Building DataOps frameworks: using Delta Live Tables, serverless SQL pools, and automated monitoring tools for performance and cost management Development of security and compliance concepts; integration of VNet, Private Link, Key Vault, and AD integration Mentoring of junior engineers, leading code reviews, assisting with architecture decisions Advising stakeholders on data strategy, technology selection, and business impact What we offer you Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Germany) State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniors Targeted further training: Working hours for training, certifications, and mentoring Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us Leadership influence : You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team If you want to take on responsibility, enjoy working with the latest Azure technology, and value an open, learning-oriented team culture, we
paiqo GmbH · JobRemote57y ago
We digitize decisions with data—would you like to get involved? We shape our customers' data-driven future with scalable, secure, and automated Azure platforms. As a Professional Data Platform Engineer, you will be responsible for complex data pipelines: from zero-ETL replication of operational data (mirroring) to Delta Lake-based lakehouses. Our vision: self-service data access for all departments, supported by DataOps and governance. Tasks & Responsibilities: Planning, development, and maintenance of robust batch and streaming pipelines with Azure Data Factory, MS Fabric and Databricks Integration of new Azure features such as mirroring (zero ETL), Delta Live Tables, and Unity Catalog for centralized governance Automation of deployments and testing using CI/CD (Azure DevOps or GitHub Actions) and infrastructure as code (Bicep/Terraform) Ensuring data quality, lineage, and security—using Microsoft Purview and role-based access control Collaborating with data scientists, product owners, and customers to translate requirements into scalable data solutions Evaluating new services such as Lakeflow or Microsoft Fabric for productive use What we offer you Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Germany) State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniors Targeted further training: Working hours for training, certifications, and mentoring Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us Real influence: You can help shape technology decisions and contribute your ideas directly to product roadmaps If you want to take on responsibility, enjoy working with the latest Azure technology, and value an open, learning-oriented team culture, we look forward to receiving your application! Requirement