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Airflow Developer Jobs in Massachusetts (NOW HIRING)

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Title :- Data Engineer Duration :- 8+ months Location :- Onsite based out of Boston, MA (Only ... Should be able to write highly optimized SQL. • Hands-on Experience in writing Airflow DAGs. • ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Title :- Teradata Developer with Data Analyst exp Duration :- 8+ months Location :- Onsite ... Should be able to write highly optimized SQL. • Hands-on Experience in writing Airflow DAGs. • ...

DevOps Engineer III

Waltham, MA · On-site

$57 - $78/hr

Create automation scripts and internal tooling in Python to streamline DevOps workflows. * Assist ... Experience with workflow orchestration tools (Apache Airflow, Cloud Composer). * Exposure to big ...

Sr. DevOps Engineer II

Boston, MA · On-site

$141K - $181K/yr

We are looking for a Sr. DevOps Engineer II to help us build and scale the infrastructure that ... Airflow,dbt,Dagsteror similar pipeline tools) is a strong plus * Experience in regulated industries ...

The Role As a Senior Quantitative Developer in the Front-office Engineering organization at Man ... We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for ...

Contribute to Airflow, Terraform, AWS, and other platform tools as needed Who You Are * 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or ...

Contribute to Airflow, Terraform, AWS, and other platform tools as needed Who You Are * 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or ...

Senior Data & AI Engineer

Boston, MA · On-site

$115K - $156K/yr

Production experience with dbt and Airflow, including building and maintaining semantic or metrics layers. * Strong Python engineering skills and solid experience working within AWS environments ...

Apply DevOps practices, including Docker containerization, continuous integration and continuous ... Use Git, GitLab, and Airflow to manage codebases, automate workflows, and support software ...

Senior Data Engineer III

Foxboro, MA · On-site

$112K - $152K/yr

Our technology stack includes Snowflake, dbt, Fivetran, Airflow, and Power BI, all running in the ... Experience with DevOps/DataOps, Continuous Integration and Continuous Delivery (CI/CD) principles ...

Showing results 21-40

Airflow Developer information

What is an Airflow developer?

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.
What cities in Massachusetts are hiring for Airflow Developer jobs? Cities in Massachusetts with the most Airflow Developer job openings:
Infographic showing various Airflow Developer job openings in Massachusetts as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

$124K - $149K/yr

Full-time

Re-posted 20 days ago


Job description

Job Title:- Data Engineer
Duration:- 8+ months
Location:- Onsite based out of Boston, MA (Only Locals)
The client is looking for a Data Warehouse Engineer(Contractor) to join the Enterprise Data Lake Team. The ideal candidate will be a well-rounded technologist with a passion for building scalable and maintainable data pipelines using SQL, Python, and some of the AWS technologies.
What you'll do:
• Design analytic solutions for business users that provide the data needed to operate the business
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for the analytics platform
• Write scalable and maintainable ETL/ELT processes to run in batch using SQL, Airflow, and Python.
• Review code, and implementations and give meaningful feedback that helps others build better solutions
• Write documentation on design, architecture, and solutions
What you'll need:
• Experience in data warehouse design and data integration methodologies
• SQL expertise and the ability to work with many different MPPs. Vertica, Snowflake, Postgres, etc. Should be able to write highly optimized SQL.
• Hands-on Experience in writing Airflow DAGs.
• 5+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools
• 5+ years of hands-on experience designing and developing scalable, high performing, and fault-tolerant applications for large enterprises
• 5+ years of experience writing software in native Python
• Expert level knowledge of data integration and familiarity with common data integration challenges like converting data types, handling errors, and translating between different technology stacks
• Able to work in a fast-paced environment and be comfortable being accountable for work products
• Experience performing analytics to solve complex business problems
Bonus:
• Experience with cloud-based data warehouse platforms (e.g. Snowflake, etc.)
• Ability to work with AWS technologies - S3 buckets, Kinesis, Lambda, API Gateways, ECS, EKS, MWAA, etc.
• Background in e-commerce
• Agile experience is a plus
5+ years of experience is required
Top 3 must-haves:
1. Python
2. Snowflake
3. SQL