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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609 jobs found

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Shown 1-10 of 609
United StatesFull-TimeTechnology ConsultancyPosted
Data Engineer
Company:V4C
  • Build and optimize batch/streaming ETL workflows using PySpark, SQL, and Delta Lake on Databricks.
  • Implement Medallion architecture (Bronze/Silver/Gold) across cloud ecosystems.
  • Manage and deploy data resources on AWS, Azure, or GCP.
  • Benchmark Spark jobs, tune SQL performance, and automate data validation.
  • Structure and clean large enterprise datasets for production ML and AI workloads.
IndiaContractAI ResearchPosted
  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.
Czechia, SwitzerlandFull-TimeData EngineeringPosted
PySpark Data Engineer
Company:Joyful Craftsmen AG
  • Design, build and optimize scalable data pipelines using Python & PySpark
  • Work with modern data platforms like Palantir Foundry or Databricks
  • Integrate data from finance and insurance source systems
  • Support data delivery for analytics and reporting solutions such as Power BI
  • Ensure data quality, reliability and performance of pipelines
  • Collaborate with Business, Analytics and Engineering teams
  • Support deployment, monitoring and production operations
Germany / Spain / Romania (Remote)Full-TimeAI-driven hospitalityPosted
Senior Data Engineer
Company:TrustYou
  • Develop and drive the architecture of complex data systems prioritizing scalability, reliability, and maintainability.
  • Design and optimize production-grade data pipelines with a focus on high-throughput, real-time streaming.
  • Drive Spec-Driven Development using OpenSpec or GitHub Spec Kit to ensure high-quality AI code generation.
  • Orchestrate agentic AI workflows with Claude Code and the Model Context Protocol (MCP) to scale data infrastructure.
  • Take full accountability for system components and solve complex technical challenges independently.
  • Implement rigorous testing and monitoring frameworks to ensure data integrity.
  • Mentor junior engineers and foster a culture of technical excellence through feedback and architectural reviews.
United StatesFull-TimeHealthcare TechnologyPosted
  • Implement end-to-end AI pipelines including ingestion, parsing, enrichment, embedding, vector indexing, and retrieval.
  • Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources.
  • Contribute to retrieval quality improvements such as query strategies, hybrid search, and metadata filtering.
  • Implement governed semantic layers for BI and agent reasoning.
  • Ensure data and context contracts for AI inputs are met regarding schemas, metadata, and freshness.
  • Support operational excellence through monitoring, alerting, runbooks, and incident response.
  • Apply security-by-design patterns including RBAC/ABAC and PII redaction.
Location: Los Angeles; New York; Remote; San FranciscoFull-TimeAdvertising TechnologyPosted
Senior Data Engineer
Company:EDO(101-250 employees, Big Data, Media and Entertainment, Analytics)
  • Collaborate with Data Scientists to build the next-generation Ad EnGage data pipeline.
  • Process large data sets, including advertising occurrence, outcome, and identity resolution data.
  • Build and operate scalable, resilient data pipelines that ensure high data quality.
  • Design pipeline orchestration, scheduling strategies, and failure recovery patterns.
  • Perform SQL query optimization, data modeling, schema design, and scalable data architecture.
Based in United StatesFull-TimeData EngineeringPosted
  • Design and evolve an Iceberg-based lakehouse architecture with a focus on scalability, performance, cost efficiency, and maintainability.
  • Establish technical standards for table design, partitioning, schema evolution, optimization, and data layout across the data platform.
  • Lead complex architectural initiatives spanning batch, streaming, and event-driven data processing.
  • Define and implement shared approaches for metadata, dataset documentation, data lineage, governance, and cataloging.
  • Design and evolve secure data access models, including table-, column-, and row-level controls.
  • Build automation for compaction, retention, lifecycle management, and cost optimization.
  • Mentor senior and mid-level engineers and provide technical guidance.
PakistanFull-TimeData EngineeringPosted
  • Build and maintain scalable ETL/ELT pipelines using Python and SQL.
  • Manage workflow orchestration using tools like Apache Airflow, Prefect, or Dagster.
  • Design and optimize cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Implement automated data validation, quality checks, and monitoring for anomalies.
  • Support streaming or event-driven data pipelines using Kafka, Kinesis, or Pub/Sub.
  • Maintain CI/CD workflows and infrastructure-as-code using Docker, Kubernetes, or Terraform.
  • Collaborate with Data Analysts and Scientists to deliver analytics-ready datasets.
BrazilContractData EngineeringPosted
  • Refactor existing schemas and tables to improve consistency and data structure across Bronze, Silver, and Gold layers.
  • Execute safe, production-grade data migrations and schema changes.
  • Develop, maintain, and optimize dbt models, including incremental models and data quality tests.
  • Refactor and optimize Airflow DAGs to improve pipeline reliability, efficiency, and performance.
  • Profile and tune Snowflake queries, warehouse sizing, and resource utilization.
  • Implement aggregation strategies to improve dashboard performance for data-driven applications.
  • Monitor, troubleshoot, and resolve production data issues.
  • Follow Git-based development and CI/CD practices for production changes.
United StatesFull-TimePharmaceutical MedicinePosted
  • Develop and maintain data architecture and pipelines for medical data sources.
  • Partner with product managers and data leads to design technical architectures for analytical models.
  • Gather, prepare, and maintain datasets required to perform analytics.
  • Oversee data systems and ensure accurate collection, storage, and processing.
  • Enhance infrastructure for scalability and automate manual data retrieval processes.
  • Solve complex data problems and create data products to improve team productivity.
  • Mentor and coach colleagues on data standards and practices.
  • Lead the evaluation and deployment of emerging tools and analytic data engineering processes.
Shown 1-10 of 609
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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.