Top 6 Big data engineer Jobs in Hartford, Ct

Senior Staff Data Engineer
The Hartford —Hartford, CT
- $135,040 - $202,560 a year
- Full-time
- Hybrid work
- DevOps
- Research
- Office
Software Engineer, Data Infrastructure & Acquisition - Hartford, CT, USA
Speechify —Hartford, CT
- $140,000 - $200,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Hartford, CT
- $99,000 - $232,000 a year
- 5 years
- DevOps
- Research
- Paid holidays
- Health insurance
Cyber AI Data Engineer Senior Consultant
Deloitte —Hartford, CT
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Onsite solution architect
Sonoma Consulting Inc. —Hartford, CT
- Full-time
- Research
- Mid-level
- 3 years
Quick Apply
Senior AI Machine Learning Engineer
The Hartford —Hartford, CT
- $117,200 - $175,800 a year
- Full-time
- Hybrid work
- System design
- Research
- Office

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big data engineer jobs near hartford, ct

Senior Staff Data Engineer

The Hartford -
Hartford, CT

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Job Details

Full-time
$135,040 - $202,560 a year

Qualifications

Commercial use (data warehousing systems)
Data replication
Data Integration (Data management)
Cloud data warehouses
Azure Data Lake
Spark
NoSQL
AI platforms (beyond public GPTs)
Snowflake
SQL
Machine learning cloud services
Spark implementation
Distributed systems
GitHub
S3
Kafka
Distributed computing
DevOps automation
Informatica
Python
Hadoop
Database software proficiency
AWS Lambda

Full Job Description

Job Details

Location:

Hartford, CT

Category:

Data Engineering

Employment Type:

Full time, Hybrid

Job Ref:

R2625798-168

Sr Staff Data Engineer - GE07DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

As a Senior Staff Data Engineer supporting Employee Benefits Sales, you will play a key role in shaping how Sales and Underwriting data is ingested, transformed, and delivered across the organization. You’ll work on modern, cloud‑based data platforms to ensure high‑quality, governed data products that drive operational efficiency, analytics, and decision‑making. This role combines deep technical expertise with strong partnership across Underwriting, Product and Enterprise Data teams.

The position offers a strong growth path toward Technical Leadership, with hands-on ownership of Quote and Underwriting data pipelines and opportunities to mentor and influence across teams.

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

Accountable for building small or medium-scale pipelines and data products. End-to-End solution delivery involving multiple platforms and technologies with small to medium complexity or certain sub-systems of large, complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data
Provides significant input to influence solution architecture
Build and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices.
Accountable for team development and influencing pipeline tool decisions
Accountable for data engineering practices (e.g. Source code management, branching, issue tracking, access, etc.) to be followed for the data pipeline
Independently review, prepare, design and integrate complex (type, quality, volume) data, correcting problems and recommend data cleansing/quality solutions
Provide expert documentation and operating guidance for users of all levels.
Document technical requirements and present complex technical concepts to audiences of varying sizes and levels.
Rapidly architect, design, prototype/POC, implement, and optimize Cloud/Hybrid architectures
Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake) with cloud/on premise hybrid hosting solutions, on a project level
Implement, and test data processing pipelines, and data mining/data science algorithms on a variety of hosted settings (AWS,Client technology stacks)
Stay up to date on emerging data and analytics technologies, tools, techniques, and frameworks.
Evaluate and recommend all technology-based decisions for tools and frameworks for effective delivery
Support the development and implementation of project and portfolio strategy, roadmaps and implementation

Qualifications:

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
8+ years of data engineering experience and best practices in Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Bigdata, Cloud Technologies (AWS/AZURE), Python/Spark, Data mesh and Data Lake, Data Fabric
Must have hands on experience in Snowflake, Oracle, Informatica Cloud/Power center, Github
Must have hands-on experience and knowledge on replication tools like Qlik, Informatica mass ingestion, Shareplex, open flow, DMS
Must be familiar with ETL using Pyspark/Python/snowflake native features
Must be familiar with AWS services such as EMR, S3, Lambda
Certifications on Cloud services such as AWS/GCP and Snowflake
Familiar with AI tools/tech stack

Nice to have qualifications:

Certifications on AI foundation
Hands-on experience with AWS Bedrock and Google Vertex

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$135,040 - $202,560

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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Refine Your Search

big data engineer jobs in hartford, ct

Senior Staff Data Engineer

Software Engineer, Data Infrastructure & Acquisition - Hartford, CT, USA

Data Engineer - Manager

Cyber AI Data Engineer Senior Consultant

Onsite solution architect

Senior AI Machine Learning Engineer

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