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Data Engineer Airflow Jobs in Meriden, CT (NOW HIRING)

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Hands-on with orchestration tools -- Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

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 ...

The Subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$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 ...

Deloitte

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

Apache Airflow * Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

The Whiteside Agency

Senior Data Engineer

Hartford, CT

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Experience building and operating pipeline orchestration with tools such as Apache Airflow and ...

Travelers

Senior Data Engineer

Hartford, CT

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Experience building and operating pipeline orchestration with tools such as Apache Airflow and ...

Subway

Data Architect

Shelton, CT · On-site

$64 - $82.25/hr

The Senior Data Architect partners closely with Data Engineering, Analytics, Platform, Security ... Proficiency with orchestration tools such as Databricks Workflows, Airflow, or Azure Data Factory.

Pho Prime, LLC

Data Architect

Shelton, CT · On-site

$120 - $190/hr

The Senior Data Architect partners closely with Data Engineering, Analytics, Platform, Security ... Proficiency with orchestration tools such as Databricks Workflows, Airflow, or Azure Data Factory.

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Meriden, CT

Data Engineer Airflow information

See Meriden, CT salary details

$43.6K

$127.1K

$174K

How much do data engineer airflow jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer airflow in Meriden, CT is $127,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,200.00 and $134,800.00 per year, depending on experience, location, and employer.

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What are popular job titles related to Data Engineer Airflow jobs in Meriden, CT?

For Data Engineer Airflow jobs in Meriden, CT, the most frequently searched job titles are:

What cities near Meriden, CT are hiring for Data Engineer Airflow jobs?

Cities near Meriden, CT with the most Data Engineer Airflow job openings:

Data Engineer Airflow jobs near you

Sr Data Engineer

subway

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 19 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,053 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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