Top 6 Senior data engineer Jobs in Shelton, Ct

Senior Data Engineer
Dynata —Westport, CT
- $130,000 - $150,000 a year
- Full-time
- Remote
- 6 years
- Computer Science
- SQL
- Health insurance
1d
Sr Data Engineer
Subway —Shelton, CT
- $119,200 - $149,000 a year
- Azure
- Computer Science
- DevOps
- 401(k)
- Tuition reimbursement
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Sr. Data Engineer
Subway —Shelton, CT
- $119,200 - $149,000 a year
- Azure
- Computer Science
- DevOps
- 401(k)
- Tuition reimbursement
Quick Apply

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Data Engineer I (TM1, Python, AWS)
Travelers —Hartford, CT
Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. Prior Finance/Accounting experience is a plus.
$109,300 - $180,200 a year
Senior Data Engineer, Underwriting Technical Lead
Travelers —Hartford, CT
Willingness to serve in a technical leadership capacity, including mentoring engineers, driving architectural decisions, and partnering with stakeholders across…
$139,400 - $230,000 a year

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Senior Data Engineer
Lower —Columbus, OH
3–5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.
Senior Data Engineer
Gifthealth Inc —Columbus, OH
The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing…
$142,000 - $177,000 a year
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senior data engineer jobs near shelton, ct

Senior Data Engineer

Dynata -
Westport, CT

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Job Details

Full-time
$130,000 - $150,000 a year
1 day ago

Benefits

Health insurance

Qualifications

Containerization systems
Version control
Cloud analytics services
Continuous Delivery (CD) implementation
Cloud data warehouses
Git
SQL
DevOps automation
Python
Database software proficiency

Full Job Description

The Senior Data Engineer is responsible for designing, building, and maintaining the data pipelines, transformation layers, and data models that power the enterprise lakehouse . This role is a technical anchor on the data engineering team, delivering robust ELT/ETL solutions and serving as a mentor to junior engineers.

KEY RESPONSIBILITIES

Design and implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink

Build and maintain the Bronze/Silver/Gold medallion architecture within the lakehouse (Delta Lake / Iceberg)

Develop and optimize complex SQL and PySpark transformations for large-scale datasets

Integrate structured, semi-structured, and unstructured data sources into the lakehouse

Collaborate with data architects to evolve the physical and logical data models

Implement data quality checks and monitoring using Great Expectations or dbt tests

Write Infrastructure-as-Code for pipeline environments (Terraform, Helm)

Participate in code reviews and enforce engineering standards and best practices

Troubleshoot pipeline failures, performance bottlenecks, and data incidents

Mentor junior and mid-level data engineers and contribute to internal knowledge sharing

REQUIRED QUALIFICATIONS

6 + years of data engineering experience with a track record of enterprise-scale delivery

Expert proficiency in Python and SQL; PySpark experience required

Hands -on experience with Apache Spark, Delta Lake, or Apache Iceberg

Experience with orchestration tools: Apache Airflow, Prefect, or Dagster

Strong knowledge of cloud data services: AWS Glue, Azure Data Factory, GCP Dataflow

Proficiency with version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes)

Experience with dbt (data build tool) for transformation layer management

Bachelor's degree in Computer Science, Engineering, or related technical field

PREFERRED QUALIFICATIONS

Experience with Databricks, Snowflake, or Apache Hudi

Knowledge of streaming architectures and Apache Kafka

Certifications : Databricks Certified Data Engineer, AWS Data Analytics Specialty

At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.

At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.

Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.

The base salary range for this position in is $130K-$150K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.

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