Shelton, CT

Developer Jobs in Shelton, CT

2 jobs found

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1mo ago

Sr Data Engineer

Subway Shelton, CT

Shelton, CT

1mo ago Closed

$103k - $128k/yr Full time Senior Apache Airflow Big Data

This position is no longer accepting applications (closed Aug 10, 2026).

Job Description

The Sr Data Engineer is a senior technical leader accountable for designing, building, and evolving Subway's enterprise data platform on Snowflake or Databricks. The role delivers reference implementations, proofs of concept, and platform-level solutions across multiple data domains.

Responsibilities

Design and implement reference architectures and production-grade frameworks on Databricks or Snowflake.
Architect lakehouse platforms using Delta Lake or Iceberg with a Medallion (Bronze/Silver/Gold) pattern.
Define and evolve enterprise data standards, patterns, and reusable accelerators.
Ensure solutions align with data governance, security, scalability, and cost-efficiency standards.
Conduct hands-on technology benchmarking to evaluate options beyond vendor presentations.
Develop the first working versions of complex pipelines, frameworks, and POCs for ingestion, CDC, streaming, data quality, observability, and CI/CD.
Drive emerging technologies from POC to production, including Iceberg, Lakeflow, Openflow, Cortex, and Mosaic AI.
Address high-complexity performance, cost, and governance challenges at petabyte scale.
Identify and remediate 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 with Product, Architecture, Security, Infrastructure, and Analytics leaders.
Translate business needs into technical direction supported by working prototypes.
Communicate trade-offs, risks, and decisions clearly to technical and non-technical stakeholders.
Influence roadmaps and platform investments through technical insight and de-risked 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.

Requirements

Location: Shelton, CT onsite
Minimum 3 years of professional data engineering experience
Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred
Exceptional hands-on expertise with Databricks or Snowflake lakehouse platforms
Proficiency in PySpark or advanced SQL, plus Python for data engineering and automation
Experience building Medallion architectures with Delta Lake or Iceberg
Real-time and batch streaming experience (Lambda or Kappa) with Databricks DLT or Snowflake Dynamic Tables / Snowpipe Streaming
Hands-on with orchestration tools such as Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt experience is a plus
Strong data modeling skills (Dimensional, Data Vault, schema design)
Performance and cost tuning expertise (clustering, partitioning, Z-ordering, warehouse 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 abilities
Comfortable operating amid ambiguity and in complex stakeholder environments

Technologies

Databricks, Snowflake
Delta Lake, Iceberg
Medallion architecture, PySpark, SQL, Python
Databricks Structured Streaming / DLT, Snowflake Dynamic Tables, Snowpipe Streaming
Airflow, Databricks Lakeflow, Snowflake Openflow
dbt, Unity Catalog, Horizon Catalog
Databricks Mosaic AI, Snowflake Cortex
Git, Databricks Asset Bundles, Snowflake CLI, Schemachange
AWS, Azure, GCP (S3, Glue, Kinesis)

Benefits

Medical insurance
Life insurance
Retirement plan (401K/RSP)
Bonus
Mobility allowance
Tuition reimbursement
Paid holidays
Volunteer time off

About the Role

The Sr Data Engineer serves as a senior technical authority and builder, responsible for shaping Subway's enterprise data platform on Snowflake or Databricks. This role drives lakehouse architecture, engineering frameworks, and best practices across multiple data domains, operating with a high degree of autonomy and delivering reference implementations, POCs, and platform-level capabilities.

What We Offer

Insurance Plans (Medical, Life)
Pension or 401K/RSP depending on country
Competitive bonus program
Mobility allowance
Tuition reimbursement
Company holidays
Volunteer time off
Additional benefits as applicable

Compensation

The base pay range for this role is USD 102,700 to 128,400 annually. Compensation within this range will be determined in good faith based on the candidate’s skills, experience, education, and internal equity.

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1mo ago

Senior Data Engineer, Growth, Insights & Analytics

Edgewell Personal Care Brands Shelton, CT

Shelton, CT

1mo ago Closed

$112k - $168k/yr Full time Senior Analytics Apache Airflow

This position is no longer accepting applications (closed Jul 18, 2026).

Job Description

Edgewell Personal Care Brands is seeking a Senior Data Engineer in a hybrid role based in Shelton, CT to build scalable cloud data infrastructure that unlocks insights across our brands and unifies data from retail POS, syndicated data, retail media, ecommerce, and supply chain.

Responsibilities

Lead the design, development, and optimization of scalable cloud based data pipelines and architectures across AWS, Azure, or GCP to support analytics, reporting, and data science initiatives.
Build and operate a modern lakehouse style data platform using technologies such as Snowflake, Databricks, Redshift, or BigQuery to enable high performance analytics and broad data accessibility.
Collaborate with IT and Enterprise Architecture to align cloud strategy, data infrastructure, and technology roadmaps.
Ingest and manage diverse data sources including retailer POS, syndicated data (Nielsen/Circana), ecommerce, ERP systems, and retail media platforms such as AMC, Walmart Luminate, and Kroger Precision Marketing.
Develop and optimize pipelines for retail media, digital advertising, and campaign performance data (Amazon Ads, DSP, paid search, and social platforms).
Create scalable and reusable data models, APIs, and curated datasets to support self service analytics and BI tools such as Power BI.
Maintain high standards of data quality, governance, security, and privacy compliance with monitoring, metadata management, and lineage tracking.
Continuously evolve data engineering capabilities, including real time streaming pipelines (Kafka, Spark Streaming), automation frameworks, and AI ready data infrastructure.

Requirements

Bachelor’s degree required; advanced degree preferred.
6–8+ years of experience in Data Engineering, Data Platforms, or related technical field.
Proven experience designing and building cloud native data pipelines and architectures (ETL/ELT).
Strong SQL and Python skills, with proficiency in alternative languages such as Scala or Java.
Hands on experience with cloud platforms (AWS, Azure, or GCP) and modern data stack tools including Snowflake, Databricks, Airflow, dbt, Fivetran, or similar.
Experience with API based data ingestion and integration frameworks, especially for digital media and retail platforms.
Track record of transforming complex, high volume data into clean, scalable datasets.
Experience implementing data governance, quality frameworks, and observability tools.
Strong communication and stakeholder management skills, with ability to translate technical concepts into business friendly language.
Familiarity with consumer packaged goods and omnichannel data ecosystems including retailer POS, syndicated data (IRI/Nielsen/Circana), and digital commerce sources.
Hands on experience with retail media and advertising data platforms including AMC; Amazon Ads/DSP; Walmart Luminate, Kroger Precision Marketing, or CitrusAd (Criteo Retail Media).
Experience enabling marketing mix modeling, retail media measurement, or marketing analytics use cases.
Knowledge of data modeling techniques for marketing, media, and commercial analytics.
Experience with real time or streaming data pipelines (Kafka, Spark, or similar).

Technologies

SQL
Python
Scala
Java
AWS
Azure
GCP
Snowflake
Databricks
Redshift
BigQuery
Airflow
dbt
Fivetran
Power BI
Kafka
Spark Streaming
Amazon Marketing Cloud
Amazon Ads
DSP
Walmart Luminate
Kroger Precision Marketing
CitrusAd
Google Ads
Meta
TikTok

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Bonus
Long term incentive

Edgewell Values and Behaviors

People First: build relationships and foster inclusivity
Move Forward: innovate and take decisive action
Listen Up, Speak Up: encourage open dialogue and feedback
Own It, Together: drive results through collaboration and accountability

The EPC Insights and Analytics Team and Culture

We are a high performing, collaborative group that brings the voice of the consumer, shopper and customer into the business to drive tangible impact. The team develops cutting edge data, analytics and AI tools for a strong competitive advantage, while maintaining a supportive environment that values curiosity and diverse backgrounds.

Work Environment (Hybrid)

This position follows a hybrid model with regular presence at the Shelton, CT corporate office and some travel to the New York, NY office as needed, approximately three days per week onsite. Occasional travel may be required for key business meetings or enterprise collaboration.

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Developer Jobs in Shelton, CT

Sr Data Engineer

Senior Data Engineer, Growth, Insights & Analytics

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