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Remote Data Engineer Jobs

Browse remote Data Engineer jobs focused on building pipelines, warehouses, and reliable data platforms rather than dashboard reporting or statistical modeling. Remoote found 610 searchable jobs across 358 companies using exact phrase matching for “Data Engineer” in the title on July 31, 2026; only 4 carried a worldwide label, so check each listing’s country and time-zone rules.

Data Engineer
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687 jobs found

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Shown 1-10 of 687
Based in the United StatesFull-TimeRobotics data infrastructurePosted
Senior Data Engineer, Data Analytics
Company:Jobgether(11-50 employees, Internet)
  • Collaborate with robotics software and hardware teams to define, collect, structure, and curate data for analytics, monitoring, and debugging.
  • Design, develop, maintain, and optimize ETL pipelines that transform robot logs and telemetry into structured datasets.
  • Use Apache Spark, orchestration technologies, and AWS data services to manage production data workflows.
  • Own and maintain gold-layer datasets for fleet dashboards, hardware reliability models, operational reporting, and business metrics.
  • Establish data freshness SLAs, documentation standards, monitoring systems, and quality controls.
  • Implement data validation, schema evolution, and metadata management using internal registries and cataloging systems.
  • Collaborate with analytics, reliability, and machine learning teams to design data models for their requirements.
  • Optimize data models and physical partitions to improve query performance for analytics, playback, and root-cause analysis.
  • Contribute to shared libraries and APIs in Python, Java, or C++ for data capture, serialization, and consumption when needed.
  • Promote data architecture, pipeline reliability, dataset versioning, and governance practices across engineering.
PythonApache AirflowJava+2 more

Annual base compensation ranging from $175,000 to $274,000 USD

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This is a fully remote opportunity ... based in Brazil.Full-TimeData engineeringPosted
Senior Data Engineer – Platform, Automation & AI Acceleration (GCP)
Company:Jobgether(11-50 employees, Internet)
  • Develop AI-assisted workflows with Antigravity, including context libraries, templates, tools, and validation mechanisms.
  • Build and maintain CI/CD pipelines with automated SQL validation, contract testing, schema checks, data quality controls, and performance testing.
  • Implement BigQuery cost analysis and query optimization using tools such as Dry Run and Query Explain.
  • Design Terraform infrastructure-as-code solutions and reusable modules for GCP resources, permissions, and governance policies.
  • Improve orchestration using Cloud Composer/Airflow, Cloud Workflows, Eventarc, and Pub/Sub.
  • Integrate data engineering, automation, and AI tools into development workflows, including automated Pull Request validations.
  • Improve Developer Experience by reducing manual tasks, rework, and delivery-cycle time.
  • Promote engineering practices supporting platform reliability, scalability, governance, and cost optimization.
PythonSQLApache Airflow+3 more
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Based in BrazilFull-TimeData engineeringPosted
Data Engineering Specialist I – Kafka & AWS
Company:Jobgether(11-50 employees, Internet)
  • Build and evolve data ingestion pipelines using Kafka and Amazon MSK, consuming analytical data from GCP and transferring it into AWS environments.
  • Model, manipulate, and optimize data in PostgreSQL and Amazon RDS using advanced SQL and stored procedures.
  • Implement business rules and contribute to the development of rule engines.
  • Manage data routing and distribution through event-driven architectures and Apache Iceberg.
  • Participate in technical refinement sessions and translate business requirements into practical technical solutions.
  • Ensure deliverable quality and reliability through automated testing, attention to metrics, vulnerability awareness, and code reviews.
  • Review colleagues' code and contribute to engineering standards and continuous improvement.
  • Integrate AI tools into development workflows, critically evaluating their output and generated solutions.
AWSPostgreSQLKafka
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Based in the United StatesFull-TimeData engineeringPosted
Data Engineering Lead
Company:Jobgether(11-50 employees, Internet)
  • Lead the architecture, design, and development of scalable data pipelines using AWS Glue, EMR, S3, Python, and PySpark.
  • Drive enterprise data integration initiatives and implement ETL/ELT workflows.
  • Lead the development of reliable, scalable, and reusable data products.
  • Define and maintain engineering standards, best practices, and development guidelines.
  • Conduct technical design reviews and code reviews to ensure solution quality and consistency.
  • Optimize data pipelines for performance, data quality, processing efficiency, and scalability.
  • Mentor and guide Data Engineers, supporting their technical development and delivery.
  • Collaborate with architecture, technology, and business teams to align solutions with enterprise objectives.
AWSPythonSQL+1 more
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Work remotely from BrazilFull-TimeData engineeringPosted
Data Engineer (Databricks + Fabric)
Company:Jobgether(11-50 employees, Internet)
  • Design, develop, deploy, and maintain production-grade data platforms for clients.
  • Build and optimize ETL/ELT pipelines using Databricks and Microsoft Fabric.
  • Design and implement Medallion lakehouse architectures with Bronze, Silver, and Gold layers using Delta Lake.
  • Develop data processing solutions with PySpark, Python, SQL, Databricks Workflows, and Microsoft Fabric components.
  • Implement and manage Unity Catalog governance, including permissions, access controls, lineage, and data quality practices.
  • Use Microsoft Fabric Lakehouse, OneLake, Data Pipelines, Notebooks, Dataflows Gen2, and Warehouse capabilities.
  • Establish and automate deployment processes using CI/CD pipelines and Infrastructure as Code.
  • Gather and translate business and technical requirements with clients and internal teams.
  • Identify improvements to data architectures, infrastructure, and engineering workflows.
PythonSQLCI/CD+2 more
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Remote work opportunity based in India.Full-TimeData engineeringPosted
Data Engineer
Company:Jobgether(11-50 employees, Internet)
  • Create, manage, and automate data pipelines using Oracle Data Integrator (ODI), MuleSoft, Oracle GoldenGate, and related technologies.
  • Translate business requirements into technical specifications and data integration solutions.
  • Define requirements for new implementations and contribute to solution designs, technical standards, and engineering practices.
  • Own end-to-end development activities and ensure solutions meet business and technical needs.
  • Develop automation solutions for complex, interconnected data engineering challenges.
  • Identify process improvements and collaborate with teams to implement changes.
  • Support data ingestion, transformation, integration, and consumption.
  • Provide analytical and technical support to stakeholders using organizational data.
PythonSQLBash+1 more
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Listing location: India / Delhi NCR / Bangalore / Hyderabad / Pune / Chandigarh / IndoreFull-TimeData engineeringPosted
Senior Data Engineer / Developer
Company:Smart Working
  • Own data requirements end to end, from concept through production.
  • Collaborate with two existing developers on deeper application development.
  • Prioritise payroll-related data requirements and develop an invoicing system to automate manual invoicing.
  • Assess the legacy SQL database and Azure data environment, then recommend and implement improvements.
  • Build and maintain data pipelines and integrations across Azure, HubSpot, Xero, and Stripe.
  • Analyse club financial performance and membership utilisation, producing reports and internal dashboards.
  • Combine HubSpot and financial data to report on campaign costs, customer acquisition costs, and overall business costs.
  • Develop data services, REST APIs, and backend functionality to integrate data and insights into the application.
  • Maintain the Power BI environment and assess its suitability against cost and reporting requirements.
  • Automate manual business processes and data handling using Power Automate or other appropriate tools.
  • Work with the CFO and leadership to translate financial and business requirements into practical data solutions.
  • Evaluate technical approaches pragmatically and handle sensitive payroll and financial information responsibly.
SQLGitMicrosoft Azure+2 more
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Candidates must be based in Ontario or QuebecCanada.Full-TimeAdTech dataPosted
MLOps / Data Engineer
Company:Jobgether(11-50 employees, Internet)
  • Build and manage automated CI/CD pipelines for machine learning workflows using tools such as GitHub Actions, Azure DevOps, Jenkins, GitLab CI, or ArgoCD.
  • Develop and optimize distributed data pipelines using Apache Spark, PySpark, and Scala to process large-scale listener datasets.
  • Configure and maintain Databricks infrastructure, optimize cluster performance, manage job scheduling, and control operational costs.
  • Collaborate with data scientists to deploy machine learning models into production through scalable APIs and batch-processing systems.
  • Implement automated testing, monitoring, and alerting to maintain pipeline reliability, reproducibility, and performance.
  • Promote version control, model registry management, environment reproducibility, and automation standards.
  • Evolve listener data systems toward structured, continuously available, machine-readable data feeds for advertising platforms.
  • Evaluate architectural decisions and optimize infrastructure for performance, scalability, cost efficiency, and maintainability.
AWSPythonGCP+5 more

100k - 125k CAD per year

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PhilippinesFull-TimeData engineeringPosted
Lead Data Engineer (GCP)
Company:Manila Recruitment(11-50 employees, Staffing Agency, Consulting, Human Resources)
  • Own the reliability, scalability, and performance of core data pipelines and infrastructure.
  • Set technical priorities, identify risks, and drive improvements to data accuracy, accessibility, and dependability.
  • Lead complex data engineering initiatives from architecture and technical planning through implementation.
  • Establish engineering standards for Python, SQL, orchestration, testing, documentation, data governance, and monitoring.
  • Use AI and automation to reduce repetitive tasks and support data quality.
  • Conduct design and code reviews, share technical knowledge, and support engineer onboarding and development.
  • Partner with Data Science, BI, and business teams to translate data requirements into technical solutions.
  • Resolve complex issues and strengthen the data foundation for analytics, machine learning, and business decision-making.
PythonSQLApache Airflow+3 more
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Choose a remote setup that works for you. As long as you are based in Portugal :)Full-TimeData engineeringPosted
Senior Data Engineer
Company:Mindera(1001-5000 employees, Cloud Data Services, Consulting, Big Data)
  • Build and operate batch and streaming ingestion pipelines from databases, event streams, and third-party APIs.
  • Own storage architecture across the lake, lakehouse, and warehouse.
  • Optimize partitioning, cost efficiency, and query speed.
  • Implement orchestration, automated testing, and alerting to keep pipelines observable and restartable.
  • Ensure clean recovery when pipelines break.
  • Implement infrastructure as code and CI/CD for data workloads.
  • Conduct code reviews and maintain strict version control.
  • Agree on data contracts with data-producing teams to manage schema drift.
  • Manage data access, retention, and lineage.
  • Produce clear and comprehensive documentation.
AWSPythonSQL+3 more
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Shown 1-10 of 687
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What work appears in remote data engineer jobs?

These roles center on moving, transforming, storing, and monitoring data for downstream products and analysis. The page uses exact phrase matching in the title field, so it includes titles such as Senior Data Engineer and Staff Data Engineer while requiring the phrase Data Engineer; it does not promise a particular seniority level.

Among the 610 matched Remoote jobs checked July 31, 2026, SQL appeared in 482 and Python in 479. AWS, data modeling, ETL, dbt, Snowflake, Airflow, Spark, and Databricks also appeared frequently in the matched jobs. Treat that stack as a way to assess each role’s scope, not as a checklist every applicant must satisfy.

How is data engineering different from data analyst or data science work?

Choose this page when you want to build or operate ingestion, transformation, storage, orchestration, and data-quality systems. If your work centers on dashboards, business reporting, and stakeholder questions, compare remote data analyst jobs. If it centers on statistical modeling, experiments, or machine learning, compare remote data science jobs.

The boundaries can overlap, especially when a listing combines analytics, modeling, and production systems. Read the responsibilities rather than relying on the title alone, or return to the broader remote IT jobs hub if your experience spans several tracks.

What should you verify before applying?

Remote is a working arrangement, not an eligibility promise. Only 4 of the 610 title-matched Remoote jobs carried a worldwide label on July 31, 2026. Check eligible countries, time-zone overlap, work authorization, and the employer’s hiring setup before tailoring an application.

Salary visibility is a separate check: 258 of the 610 matched jobs showed salary information on July 31, 2026. A disclosed range does not prove that the employer can hire in your location, so verify the currency, pay period, geographic adjustments, and eligibility terms together.

Employment type also changes the decision. Remoote found 538 full-time and 62 contract matches under this filter on July 31, 2026. For contract work, check the expected workload, term, renewal conditions, and benefits rather than assuming that remote means flexible.

Source: Remoote searchable job listings requiring the phrase Data Engineer in the title, checked July 31, 2026. Counts are point-in-time and may change as employers post, update, or close roles.

Remote Data Engineer Jobs FAQ

Remoote found 610 searchable jobs across 358 companies using the Data Engineer title-phrase filter on July 31, 2026. This is a point-in-time count for the listings shown by this page, not a permanent market total.

Yes. The title filter requires the phrase Data Engineer, so it includes titles such as Senior Data Engineer, Staff Data Engineer, and Lead Data Engineer. It does not limit results to one seniority level, so check the experience and ownership requirements in each listing.

SQL appeared in 482 of the 610 matched Remoote jobs and Python in 479 on July 31, 2026. AWS, data modeling, ETL, dbt, Snowflake, Airflow, Spark, and Databricks also appeared frequently, but individual roles use different combinations rather than one universal stack.

Data engineer roles usually focus on pipelines, storage, orchestration, reliability, and access to usable data. Data analyst roles lean more toward dashboards, reporting, and business questions, while data science roles lean more toward modeling, experimentation, and machine learning. Titles overlap, so confirm the actual responsibilities before applying.

Usually you should not assume they are. Only 4 of the 610 title-matched Remoote jobs carried a worldwide label on July 31, 2026. Check country, state, time-zone, payroll, and work-authorization rules even when the listing calls the role remote.

Some do. On July 31, 2026, 258 of the 610 matched Remoote jobs showed salary information. Pay visibility helps with screening, but it does not establish location eligibility or compensation fit; verify the currency, pay period, geographic adjustments, and hiring terms.

Full-time roles were more common in this result set: Remoote found 538 full-time and 62 contract matches on July 31, 2026. Employment labels do not explain workload, duration, renewal, or benefits, so review those terms in the original listing.

Review Current Remote Data Engineer Jobs

Use the matches above to compare pipeline scope, technical stack, location eligibility, employment type, and salary details before applying.

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