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Airflow Developer Jobs in Ridgefield, CT (NOW HIRING)

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

Deloitte

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

Apache Airflow * Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta Lake advanced features (time travel, deletion vectors, predictive I/O) * Unity ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency -- Git, Databricks Asset Bundles or Snowflake CLI / Schemachange ...

Franchise World Headquarters, LLC

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Hands-on with orchestration tools - Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency - Git, Databricks Asset Bundles or Snowflake CLI / Schemachange, automated ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Hands-on with orchestration tools - Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ... CI/CD and DevOps fluency - Git, Databricks Asset Bundles or Snowflake CLI / Schemachange, automated ...

Spire Orthopedic Partners

BI Engineer

Stamford, CT · On-site

The Data Engineer will help build and support the data foundation that powers enterprise reporting ... Experience with dbt, Airflow, Dagster, Fivetran, Matillion, Azure Data Factory, or comparable data ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Building pipelines with Airflow, Databricks Lakeflow, or Snowflake Openflow; familiarity with dbt is a plus. * Programming: Strong PySpark or advanced SQL skills; Python for data engineering or ...

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Airflow Developer information

See Ridgefield, CT salary details

$16

$52

$81

How much do airflow developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for airflow developer in Ridgefield, CT is $52.62, according to ZipRecruiter salary data. Most workers in this role earn between $40.24 and $64.42 per hour, depending on experience, location, and employer.

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 job categories do people searching Airflow Developer jobs in Ridgefield, CT look for? The top searched job categories for Airflow Developer jobs in Ridgefield, CT are:
Airflow Developer jobs near you

Sr Data Engineer

subway

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 11 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,048 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants

Job description

 

Sr Data Engineer - Shelton, CT

Ready to build what’s next with one of the world’s most iconic brands? 

Why Join Subway? 

At Subway, we are not standing still. We are building. 

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact. 

You will not just do the work. You will shape it. 

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world. 

If you bring energy, accountability and a bias for action, you will fit right in. 

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day. 

This is your chance to be part of what’s next. 

About the Role: 

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway’s enterprise data platform on Snowflake or Databricks. This role serves as a technical authority and builder, driving Lakehouse architecture, engineering frameworks, and best practices across multiple data domains. The Sr Data Engineer operates with a high degree of autonomy, leading through working code and influence — shipping reference implementations, POCs, and platform-level solutions that other teams build upon. 

Responsibilities include but not limited to: 

  • Personally design and build reference implementations and production-grade frameworks on Databricks or Snowflake.
  • Design lakehouse platforms using Delta Lake or Iceberg Tables with Medallion (Bronze/Silver/Gold) architecture.
  • Define and evolve enterprise data standards, patterns, and reusable accelerators.
  • Ensure solutions align with data governance, security, scalability, and cost-efficiency standards.
  • Evaluate technologies through hands-on benchmarking — not vendor decks.
  • Build the first working version of complex pipelines, frameworks, and POCs (ingestion, CDC, streaming, DQ, observability, CI/CD).
  • Drive emerging tech (Iceberg, Lakeflow, Openflow, Cortex, Mosaic AI) from POC to production rollout.
  • Solve high-complexity performance, cost, and governance challenges at petabyte scale.
  • Identify and address systemic technical debt and architectural risks.
  • Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming.
  • Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex.
  • Partner with Data Science and Analytics teams to operationalize models and AI workflows.
  • Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.
  • Translate business needs into sound technical direction backed by working prototypes.
  • Communicate technical trade-offs, risks, and decisions clearly to technical and non-technical stakeholders.
  • Influence roadmaps and platform investments through technical insight and de-risking POCs.
  • Mentor Senior and Staff Data Engineers through pair-programming, PR reviews, and design coaching.
  • Raise engineering maturity by shipping working examples and codifying patterns.
  • Foster a culture of technical excellence, learning, and continuous improvement. 

Qualifications (some examples listed below): 

  • Exceptional hands-on expertise in Databricks or Snowflake lakehouse platforms.
  • Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation.
  • Proven experience building Medallion architecture with Delta Lake or Iceberg Tables. 
  • Real-time and batch streaming experience (Lambda or Kappa) using Databricks DLT or Snowflake Dynamic Tables / Snowpipe Streaming. 
  • Hands-on with orchestration tools — Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt experience a plus.
  • Strong data modeling skills (Dimensional, Data Vault, schema design).
  • Performance and cost tuning expertise (clustering, partitioning, Z-ordering, warehouse/cluster sizing, FinOps). 
  • Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, and data quality.
  • Semantic layer experience using Databricks AI/BI Genie / Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst.
  • AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex.
  • CI/CD and DevOps fluency — Git, Databricks Asset Bundles or Snowflake CLI / Schemachange, automated testing.
  • Cloud ecosystem expertise — AWS (S3, Glue, Kinesis), Azure, or GCP.
  • Excellent communication and technical storytelling ability.
  • Comfortable operating across ambiguity and complex stakeholder environments. 
  • Education: Bachelor’s degree required (Computer Science, Engineering, or related field); advanced degree preferred.
  • Experience: 3-5 years of professional data engineering experience, with proven track record leading architecture and hands-on build for enterprise-scale data platforms, operating in complex or mission-critical data environments, and influencing multiple teams and platforms without direct authority.
  • Travel Requirements: Minimal to moderate (up to 10%, as business needs require). 

What do we offer? 

  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More….. 

 

Compensation: The base pay range for this role is $102,700 - $128,400 annually

Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.

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