SQL Developer – Data Lake & Cloud Analytics

Crum & Forster

New Jersey

On-site

USD 65,000 - 105,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
401K employer match
Employee stock purchase plan
Generous paid time off
Comprehensive benefits

Job summary

Crum & Forster is a leading national insurance company seeking a SQL Developer to accelerate our Deductible Tracking System (DTS) modernization. You will work across Finance, Claims, and Digital Data Services to design, implement, and optimize data pipelines and reporting within Snowflake and AWS.

Strong SQL, data modeling, and collaboration skills are essential. We value a candidate with 2-5+ years in SQL development, experience with Snowflake or similar data lakehouse tools, and a proactive,

Qualifications

  • Degree or certification in Computer Science, Statistics, Mathematics, Business, or equivalent, with a career path and/or career goals centered in IT
  • 2-5+ years of professional working experience as a SQL Developer
  • Experience working with Snowflake or other data lake house tools a plus
  • Good understanding of the SDLC process (how software is built)
  • Knowledge of efficiency techniques when building queries and proficiency in use of query and reporting analysis tools
  • Strong in writing complex queries that involve nested joins, derived tables and common table expressions.
  • In-depth knowledge of one or more of these programming languages a plus: Python, JavaScript, Java and similar
  • Experience using AI tools to analyze, write, and test code, as well as expediting development
  • Great communication, note taking, and organizational skills
  • Experience with Production Support and Troubleshooting a plus
  • Experience working with external vendors a plus
  • Ability to take ownership and see tasks through to completion
  • Experience with Amazon Web Services a plus
  • Will abide by departmental policies and procedures, including authority levels, to comply with C&F’s management controls.
  • Experience working with APIs a plus
  • A passion for learning
  • A passion for a dynamic, fast changing environment
  • An enthusiastic and positive attitude
  • An innovative, entrepreneurial spirit

Responsibilities

  • Get up to speed quickly on our Deductible Tracking System (DTS) and share development and support responsibilities
  • Include SQL development, front end and back end support, and backlog management with the deductible collections team
  • Collaborate with Finance, Claims, and Digital Data Services teams to support the system
  • Work with MS SQL Server tools (SSMS, SSIS, SSRS)
  • Work with databases such as MS SQL Server, Oracle, PostgreSQL, and DynamoDB
  • Work with data pipelines in Snowflake Data Lake House
  • Utilize AWS services (CLI, EC2, S3, Lambda, DMS, Glue, etc.)
  • Engage in Data Lake development for reporting, analytics and ML
  • Ingest data using Fivetran, CData, Openflow or other near-real-time tools
  • Collaborate with business units to analyze needs and prioritize deliverables
  • Use Confluence and JIRA to manage tasks and documentation
  • Work with Git and Bitbucket for version control
  • Communicate with Digital teams and Business Units to define goals and timelines
  • Be an agent of change, applying new technology and skills

Skills

SQL Developer
Snowflake
SDLC
Query optimization
Complex joins
Python/JavaScript/Java
AI tooling
AWS
APIs
Communication
Vendor management
Ownership
Git/Bitbucket

Education

CS/Statistics/Math degree

Tools

Snowflake
SQL Server
Oracle
PostgreSQL
DynamoDB
SSMS
SSIS
SSRS
Git
Bitbucket
Confluence
JIRA

Job description

Crum & Forster is a leading national insurance company seeking a SQL Developer to accelerate our Deductible Tracking System (DTS) modernization. You will work across Finance, Claims, and Digital Data Services to design, implement, and optimize data pipelines and reporting within Snowflake and AWS.

Strong SQL, data modeling, and collaboration skills are essential. We value a candidate with 2-5+ years in SQL development, experience with Snowflake or similar data lakehouse tools, and a proactive,

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