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Remote Data Engineer Jobs

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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670 jobs found

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Shown 1-10 of 670
Based in IrelandFull-TimeManufacturing dataPosted
Software Data Engineer (AWS)
Company:Jobgether(11-50 employees, Internet)
  • Design and develop streaming data pipelines using Kafka/MSK, Flink or Spark Streaming, and routing to curated data storage.
  • Build batch transformation pipelines in a medallion lakehouse architecture on Amazon S3 using formats such as Iceberg and Parquet.
  • Design and manage storage across relational databases, NoSQL technologies, and object-based lakehouse storage.
  • Design, deploy, and maintain AWS infrastructure for data and machine learning workloads.
  • Refactor and optimize solutions and take them from prototype through production using software engineering, CI/CD, containerization, and deployment practices.
  • Collaborate with international teams to gather requirements, contribute to solution design, and define data loading and ingestion processes.
  • Document technical developments, perform integration testing, and manage deployments in AWS environments.
  • Monitor production pipelines and maintain observability, data quality, performance, reliability, and maintainability.
  • Investigate user-reported issues and improve data ingestion processes in an application maintenance and support environment.
AWSPythonSQL+1 more

At least 30k EUR per year

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US; based in the United StatesFull-TimeData engineeringPosted
Senior Manager, Data Engineering
Company:Jobgether(11-50 employees, Internet)
  • Lead the Data Engineering team, establish technical direction, and develop a long-term roadmap aligned with business priorities.
  • Own the architecture, reliability, performance, scalability, and evolution of Snowflake, PostgreSQL, and data pipelines.
  • Lead the transition to a Medallion architecture and define standards for data ingestion, transformation, modeling, testing, documentation, and consumption.
  • Manage and optimize the data stack, including Snowflake, dbt, Fivetran, Meltano, PostgreSQL, and AWS.
  • Partner with application engineering teams on transactional database design, schema changes, query performance, scalability, and reliability.
  • Establish engineering practices for data quality, automated testing, observability, lineage, governance, security, documentation, and incident response.
  • Improve self-service data access and help teams discover, understand, and use trusted data.
  • Monitor and optimize platform performance, infrastructure scalability, and operational costs.
  • Lead, mentor, and develop Data Engineers, and contribute hands-on expertise to complex engineering problems.
  • Collaborate with stakeholders to prioritize work and communicate technical decisions, risks, trade-offs, and investment needs.
AWSPostgreSQLSQL+2 more

135k - 175k USD per year

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Based in NetherlandsFull-TimePosted
Director of Data Engineering
Company:Jobgether(11-50 employees, Internet)
  • Own the data roadmap, architecture, and company-wide data model.
  • Modernize and refactor legacy data jobs to reduce technical debt and support business growth.
  • Maintain resilient, reliable, accurate, and consistently available data pipelines.
  • Establish data quality, governance, monitoring, and observability practices.
  • Manage warehouse and infrastructure costs as data volumes and requirements increase.
  • Lead intake and sprint planning, prioritizing requests by business impact.
  • Lead, coach, and develop a small data engineering team through code reviews, feedback, and mentorship.
  • Contribute hands-on to architecture, engineering, troubleshooting, and platform improvements when needed.
  • Integrate enterprise systems, including ERP platforms, into the data warehouse and broader data ecosystem.
  • Use AI agents for software development, incident investigation, data quality, and engineering productivity.
PythonSQLData engineering+3 more

Base salary of $200,000 plus bonus and incentive compensation, depending on experience.

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Source API remote eligibility restrictions: United StatesFull-TimeData engineeringPosted
AI / Data Engineer (Mid-Level)
Company:Intertwine Associates
  • Develop production-grade ETL workflows using Python and Microsoft-based frameworks.
  • Ingest, transform, and validate structured and unstructured data.
  • Implement schema enforcement, data validation, and quality checks.
  • Support Azure Data Lake Storage, Azure SQL, and Azure-based data services.
  • Design workflow orchestration using Azure Data Factory or Microsoft Fabric / Foundry.
  • Build Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries.
  • Develop API endpoints and microservices to support analytics and ML platform interoperability.
  • Implement logging, monitoring, performance tuning, and operational reliability.
  • Collaborate with data scientists, analysts, architects, and governance teams.
  • Apply data governance best practices for compliance, reproducibility, and auditability.
PythonSQLETL+5 more

The anticipated base salary range for this position is $95,000-$125,000 per year.

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Be based in the UKFull-TimeData engineeringPosted
Junior Data Engineer
Company:Colibri Digital
  • Develop and maintain internal reporting solutions for operational and business decision-making.
  • Build, maintain, and improve reusable engineering frameworks, templates, and accelerators.
  • Produce technical documentation, standards, and engineering guidance.
  • Support internal tooling that improves delivery consistency and engineering quality.
  • Learn and apply data engineering best practices through mentoring and formal training.
  • Participate in code reviews and technical knowledge sharing.
  • Shadow customer workshops and consulting engagements.
  • Contribute to customer delivery projects as technical capability develops.
AWSPythonSQL+4 more
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Source API remote eligibility restrictions: United StatesFull-TimeData engineeringPosted
Data Engineer – Mid & Senior Level
Company:Synthlane Technologies Private Limited
  • Build and maintain production-grade data pipelines on AWS.
  • Extract, transform, validate, and curate large-scale Parquet datasets.
  • Implement data de-identification, masking, and privacy-preserving transformations.
  • Design and maintain pipeline orchestration, scheduling, retries, and backfill mechanisms.
  • Implement data quality checks, monitoring, and alerting.
  • Manage schema evolution and schema drift across data sources and pipelines.
  • Provide production support, troubleshoot pipeline issues, and perform root cause analysis.
  • Maintain data catalogs, metadata, and data lineage.
AWSPythonSQL+2 more
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Remote (US)Full-TimeData engineeringPosted
Senior Data Engineer
Company:Inizio Partners Corp
  • Design and build scalable data transformation pipelines using SQL, DBT, and Jinja templating.
  • Develop and maintain data architecture and standards for data integration and data warehousing projects using DBT and Amazon Redshift.
  • Collaborate with cross-functional teams to gather requirements and deliver dimensional data models.
  • Own DBT data modeling to support analysts, data scientists, and BI engineers.
  • Maintain DBT models, SQL scripts, and ERD documentation.
  • Ensure data quality, governance alignment, and operational readiness of data pipelines.
  • Apply version control, CI/CD, and code review practices.
  • Optimize SQL queries and apply performance-tuning practices, including partitioning, clustering, and materialized views.
  • Build infrastructure as code with AWS CDK and automate deployments using AWS CodeCommit, CodePipeline, and related DevOps tools.
  • Support Agile processes and collaborate with offshore teams.
AWSPythonSQL+1 more

Salary 125K-155K + 12% bonus

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Source API remote eligibility restrictions: United StatesFull-TimeData engineeringPosted
Senior Python Developer, Data Engineering
Company:RecruityTalent
  • Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets.
  • Partner with Markets and Product teams to develop reporting tools and dashboards.
  • Build and maintain data lakes and feature stores used by the ML Engineering team to develop ML solutions for subrogation.
PythonSQLDynamoDB+2 more
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Source API remote eligibility restrictions: United StatesFull-TimeAI and data platformsPosted
Senior AI / Data Engineer
Company:Intertwine Associates
  • Architect and lead delivery of enterprise data platforms and pipelines on Azure or equivalent cloud services.
  • Set standards for ETL design, schema enforcement, data validation, quality checks, and lineage, and review other engineers' work.
  • Design, build, and deploy machine learning and AI solutions, including large language model applications with evaluation and guardrails.
  • Build secure API endpoints and microservices for analytics and ML platforms.
  • Establish MLOps practices for experiment tracking, model registries, CI/CD, containers, monitoring, and cost and performance tuning.
  • Apply data and AI governance for compliance, reproducibility, auditability, and responsible AI, including the NIST AI Risk Management Framework.
  • Translate mission and business needs into technical roadmaps, estimates, and briefings for client leadership.
  • Mentor engineers and data scientists and lead technical work across multidisciplinary teams.
AWSPythonSQL+7 more

The anticipated base salary range for this position is $130,000-$175,000 per year.

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Source API remote eligibility restrictions: United StatesFull-TimeData engineeringPosted
Senior Data Engineer
Company:Devop.One
  • Implement and improve the company's data processes and architecture.
  • Work closely with data analysts.
  • Integrate business-relevant data into the data lake.
  • Focus on cloud-based services and automation concepts.
  • Mentor colleagues through mutual learning, including pair programming, and the exchange of best practices.
  • Identify and implement new methods, technologies, and trends.
  • Improve the scalability and performance of the infrastructure.
PythonSQLETL+4 more
Apply
Shown 1-10 of 670
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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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