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Remote Dagster Jobs (NOW HIRING)

TMS

Data Architect - Active Metadata

Menlo Park, CA · Remote

$90 - $95/hr

Menlo Park, CA (Remote) Role Type: Contract Experience: 12+ Years Role Overview: We are seeking a ... Dagster, Airflow (Provider-level). - Semantic Layer: Stardog, Apache Jena, GraphQL Federation ...

SumerSports LLC

Data Engineer

$117K - $140K/yr

Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect. * Deep ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

campus4tech

Data Governance Consultant

Title: Data Governance Consultant Duration: 6 Month Contract to Hire Job Mode: 100% Remote Note ... Experience using Dagster . * Knowledge of data mesh concepts. * Experience with governance tool ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Symetra

Analytics Engineer, AI Enablement (Remote)

$96K - $161K/yr

Orchestration with Dagster (or Airflow, Prefect, etc.). Why Work at Symetra Here's what some of our ... As a remote-first organization committed to providing a positive experience for both employees and ...

Zocdoc

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

This is a senior individual contributor role open to remote candidates across the United States ... Hands-on experience with dbt and orchestration tools like Airflow or Dagster. * Experience ...

Samsara

Senior Data Engineer

$108K - $147K/yr

This is a remote position open to candidates residing in the US. Relocation assistance will not be ... Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect)

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Understanding of orchestration tools (Airflow, Dagster, Prefect, etc.) * Solid grasp of CI/CD and ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

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Remote Dagster information

What is a Remote Dagster job?

A Remote Dagster job typically refers to a position where an individual works remotely to design, implement, and maintain data pipelines using Dagster, an open-source data orchestration platform. These jobs involve managing workflows, integrating with various data sources, and ensuring data reliability and quality, all while collaborating with teams virtually. Remote Dagster engineers or data engineers focus on building scalable and maintainable pipelines that automate data processing, often working across cloud environments or distributed systems.

What are the key skills and qualifications needed to thrive as a Remote Dagster Engineer, and why are they important?

To thrive as a Remote Dagster Engineer, you need strong skills in Python programming, data engineering, and experience with workflow orchestration, ideally backed by a degree in computer science or a related field. Familiarity with Dagster, cloud platforms (such as AWS, GCP, or Azure), containerization tools like Docker, and CI/CD systems is typically required. Excellent problem-solving abilities, clear communication, and self-motivation are crucial soft skills for working remotely and collaborating with distributed teams. These skills ensure the reliable design, deployment, and maintenance of data pipelines that are critical for modern data-driven organizations.

What are some common challenges faced by Remote Dagster Engineers, and how can they be addressed?

Remote Dagster Engineers often encounter challenges such as coordinating data pipeline deployments across distributed teams and ensuring reliable data flow in cloud-based environments. Effective communication with team members and stakeholders is crucial, as is maintaining clear documentation and using collaborative tools like Slack or Jira. Additionally, proactively monitoring pipeline performance and scheduling regular virtual check-ins help ensure smooth operations. Leveraging Dagster's modular design and testing features can further reduce errors and streamline workflows.
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Remote Dagster jobs near you
Infographic showing various Remote Dagster job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 39% Internship, 27% As Needed, 16% Full Time, 1% Contract, and 9% Nights. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution.
Quick Reminder - DataOps & Build Engineer - Remote - USA

Quick Reminder - DataOps & Build Engineer - Remote - USA

Lorven Technologies

Remote

$117K - $140K/yr

Full-time

Re-posted 12 days ago

Job description

Role: DataOps & Build Engineer
Data Analytics
Location: Remote - USA
Project Duration: 6 to 9 Months of contract
We are seeking an experienced and visionary DataOps & Build Engineer to lead the architecture and optimization of a next-generation data platform.
This critical role requires 8+ years of expertise to drive technical direction, mentor teams, and automate complex CI/CD pipelines in a fast-paced environment.
You will be instrumental in bridging development and operations to ensure a scalable, high-performance data lifecycle that powers enterprise-level decision-making.
Key Responsibilities:
  • Establish DataOps Framework: Define, document, and champion the organizational framework and guidelines for DataOps-including release management processes, environment promotion strategy, and data quality standards.
  • Best Practice Dissemination: Create and enforce standard operating procedures (SOPs) for data pipeline development, CI/CD, and testing across the engineering teams, ensuring consistency and adherence to architectural standards
  • Data Pipeline Automation: Design and implement robust continuous integration and continuous delivery (CI/CD) pipelines for data code and infrastructure
  • Workflow Orchestration Implementation: Configure, optimize, and manage the deployment of data workflows using orchestrators such as Dagster or Talend, focusing on automated testing and deployment steps.
  • Version Control & Repository Management: Enforce best practices for source code management (e.g., Gitflow), branching strategies, and repository organization across all data projects.
  • Infrastructure as Code (IaC): Work with Infrastructure teams to automate provisioning and management of data platform resources efficiently within AWS.
  • Resilience and Failure Recovery: Design and implement automated rollback and self-healing mechanisms within pipelines to quickly recover from transient failures.
  • Monitoring and Logging: Set up comprehensive monitoring, logging, and alerting using Cloud native tools, or other tools to ensure visibility into pipeline performance and quickly identify and resolve issues
  • Security and Compliance: Ensure data security and compliance by implementing IAM policies, encryption, and other security measures in AWS, adhering to best practices for handling sensitive data
  • Testing Frameworks: Implement automated testing strategies across the data lifecycle, including unit tests, integration tests, and data quality validation checks (e.g., column integrity, schema drift) to ensure data reliability before deployment
  • Resource and Cost Optimization: Implement automated policies and monitoring to track and control cloud resource consumption, ensuring that pipelines run efficiently and cost-effectively

Candidate Profile:
  • 8+ years of hands-on experience in Data Engineering, DevOps, or a dedicated DataOps role, focused heavily on automation and operational excellence
  • Proven experience implementing CI/CD practices specifically for data pipelines and data infrastructure
  • Strong conceptual understanding of data warehousing, ETL/ELT methodologies, and cloud-native architecture.
  • Automation First Mindset: A strong drive to automate repetitive tasks and eliminate manual intervention in the data lifecycle
  • Collaboration: Excellent communication skills, capable of working effectively with Data Engineers, Data Scientists, and Infrastructure teams
  • Insurance industry experience preferred but not mandatory
  • Tools:
    • Cloud Environment: AWS (S3, IAM, VPC, etc.)
    • Pipeline Build: Dagster or Talend
    • Ingest & Transform: dbt Core, AWS Glue, or Flexter
    • Streaming/Integration: Confluent or AWS Streaming Services
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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