Staff Data Engineer — Cloud Pipelines & DevOps

The Hartford; Hinoba-an; On-site; PHP 5,646,000 - 7,528,000; Full time

Job summary

The Hartford is hiring an IND Staff Engineer to design, build, and operate data pipelines and analytics solutions. You will own end-to-end delivery across cloud and on-premise stacks, leveraging ELT techniques and modern DevOps to accelerate value.

You’ll partner with analytics, product, and operations teams to craft scalable data platforms and guide best practices in data engineering, DevSecOps, and governance.

Qualifications

• Minimum Qualifications: 6 to 9 years of software development or data engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems
• 1+ years of developing and operating production workloads in cloud infrastructure
• Focus on action and iterative deployment practices
• Proven experience with software development life cycle (SDLC) and knowledge of agile/iterative methodologies and toolsets
• Strong written and verbal communication skills
• Ability to execute independently
• Preferred Qualifications: Tag management system experience, Tealium iQ preferred
• Digital Analytics analysis and reporting tools experience - such as Google Analytics, Adobe Analytics and Tealium AudienceStream
• ETL tools (Talend Studio, Informatica)
• Reporting tools (Tableau, Data Studio)
• Cloud Technologies (AWS, EMR, S3)
• Data warehousing solutions (Snowflake, SnowSight, SQL)
• An understanding of the practical application of DevSecOps and Agile methodologies
• Certifications/Licenses (as applicable)

Responsibilities

• Accountable for building small or medium scale pipeline and data products
• Provides end-to-end solution delivery involving multiple platforms and technologies with small to medium complexity, leveraging ELT solutions to acquire, integrate, and operationalize data
• Provides input to influence solution design
• Build and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices
• Accountable for data engineering practices (e.g. Source code management, branching, issue tracking, access, etc.) followed for the product
• Provide documentation and operating guidance for users of all levels
• Document technical requirements and present technical concepts to audiences of varying size and level
• Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a project level
• Implement, and test data processing pipelines, and data mining 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, recommend, and influence technology-based decisions for tools and frameworks for effective delivery
• Support the development and implementation of project and portfolio strategy, roadmaps and implementations

Skills

Cloud data pipelines

Data consumption products

Cross-functional communication

Scaled Agile

DevOps practices

Code quality management

APIs

Automated testing

FinOps

Team collaboration

Tools

Talend Studio

Informatica

Tableau

Data Studio

AWS

EMR

S3

Snowflake

SnowSight

SQL

Job description

The Hartford is hiring an IND Staff Engineer to design, build, and operate data pipelines and analytics solutions. You will own end-to-end delivery across cloud and on-premise stacks, leveraging ELT techniques and modern DevOps to accelerate value.

You’ll partner with analytics, product, and operations teams to craft scalable data platforms and guide best practices in data engineering, DevSecOps, and governance.