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Airflow Developer Jobs in Maine (NOW HIRING)

Airflow Developer information

What are Airflow Developers?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

What are the key skills and qualifications needed to thrive as an Airflow Developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow Developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
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Infographic showing various Airflow Developer job openings in Maine as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Snowflake and Data Operations Support Associate

Snowflake and Data Operations Support Associate

West Coast Consulting

Westbrook, ME

$45 - $50/hr

Other

Posted 18 days ago


Job description

Job Description Hybrid - Westbrook, ME Job Description: We are seeking a motivated Snowflake and Data Support professional for a contract engagement with our Data Engineering Support and Operations team. This role will provide day-to-day operational support for our enterprise Snowflake environments, including handling user access requests, monitoring platform costs and usage, and assisting with performance optimization. You will participate in on-call rotation for production support, handle deployments and releases, and provide general data support activities across our cloud data platforms.

The ideal candidate brings 2-3 years of IT experience with exposure to cloud data platforms, intermediate Snowflake knowledge, and familiarity with SQL, Python, Linux, and AWS. This is an excellent opportunity for someone to apply their expertise in enterprise Snowflake administration, data platform operations, and cloud infrastructure while working alongside experienced data engineering professionals. Strong communication skills, ability to work independently, and readiness to contribute from day one are essential for success in this contract role.

Our stack: Snowflake, AWS (S3, EC2, Lambda), Apache Airflow (MWAA), Python, Oracle, MySQL, Terraform, git, Alation, Datadog What You Will Do Provide day-to-day Tier 1 operational support for Snowflake environments, including handling support tickets for access requests and user provisioning Monitor Snowflake costs and usage through dashboards and resource monitors, identifying opportunities for optimization Assist with creating and maintaining cost and utilization reports to support business decision-making Support RBAC (Role-Based Access Control) implementation by managing user access, roles, and permissions Participate in on-call rotation to provide production support for Snowflake and related data platforms. Handle deployments and releases from GitHub Assist with configuring and maintaining Snowflake objects including databases, schemas, warehouses, and resource monitors Support data sharing and replication processes for internal and external clients Collaborate with data engineering teams to troubleshoot data pipeline issues and support ETL/ELT processes Help maintain monitoring dashboards and implement alerts for system health and performance issues Document procedures, configurations, and troubleshooting steps in runbooks and knowledge base articles Support audit and compliance activities by providing documentation and evidence as needed Assist with Snowflake query performance troubleshooting and optimization efforts Participate in Disaster Recovery (DR) testing and failover exercises Support general data platform operations including production troubleshooting and incident response Work with infrastructure as code tools like Terraform to support automation initiatives Establish and follow naming conventions, object tagging, and organizational best practices Respond to production incidents promptly and work independently to resolve issues or escalate appropriately What We Are Looking For 2-3 years of IT experience with exposure to cloud data platforms, databases, or data engineering environments Intermediate experience with Snowflake administration, configuration, or support Foundational knowledge of SQL and database concepts Familiarity with Linux and Python scripting for basic automation tasks Experience with Git/GitHub for code versioning and deployment processes Exposure to tools and technologies such as AWS (S3, EC2, Lambda), Apache Airflow (MWAA), Python, Oracle, MySQL, Terraform, Git, Datadog, Informatica, and Alation Basic understanding of AWS cloud services and cloud infrastructure Familiarity with role-based access control (RBAC) and security concepts Good problem-solving and analytical skills with attention to detail Strong communication skills (verbal and written) and ability to document technical processes Self-starter with ability to quickly ramp up in new environments and hit the ground running Experience working independently in contract or consulting roles preferred Ability to integrate quickly into existing teams and contribute independently with minimal supervision Flexibility to adapt to changing priorities and project needs Available to start immediately or with minimal notice period Available for the full duration of the contract assignment Customer Service orientation with ability to handle support requests professionally Nice to Have Previous Snowflake Administrator certification or training Familiarity with BI/reporting tools such as Power BI, Tableau, or Business Objects Experience with infrastructure as code using Terraform or similar tools Knowledge of data pipeline orchestration and scheduling tools Exposure to monitoring and alerting tools like CloudWatch or similar platforms Understanding of disaster recovery concepts and backup/restore procedures Basic knowledge of data security best practices and compliance requirements (SOX, etc.) Experience supporting enterprise applications in production environments Familiarity with Agile/DevOps methodologies and CI/CD processes Experience with performance tuning and query optimization Previous experience in contract roles within data engineering or platform operations teams Track record of delivering results in fast-paced contract engagements Background in customer support or ticketing systems (ServiceNow, Rally, JIRA, etc.) Interest in cloud security practices and data governance