Data Engineer

Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

Join our Enterprise Data Management team as a Data Engineer. Preferably, role will be located in our Jersey City, NJ global headquarters which has a flexible hybrid work model. 

• Develop, maintain, and optimize ETL (Extract, Transform, Load) processes using ETL technologies to ensure efficient data integration and transformation workflows.
• Write clean, optimized code to efficiently process large volumes of data.
• Conduct data analysis to troubleshoot and aid in resolving data-related issues.
• Develop and implement data processing systems using SQL, Python, and big data technologies.
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver actionable insights.
• Ensure data quality, consistency, and security by implementing data validation, cleansing, and access control mechanisms.
• Continuously monitor and optimize data infrastructure performance, ensuring high availability, scalability, and reliability.
• Conduct SQL querying and analysis to validate and enhance data quality.
• Prepare monthly data quality reports / metrics to track deviations in data.
• Provide afterhours or weekend support for ETL processes and troubleshoot any issues that may arise to ensure data integrity and timely completion of ETL tasks.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering or a related STEM field.
• 2 to 5 years of hands-on experience in data engineering.
• Minimum 2 years of experience with Amazon Web Services (AWS) – EC2, ECS, S3, SQS, Athena, RDS, Dynamo DB, Cloud Watch, IAM and Lambda.
• Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).
• 2+ years of expertise in Python programming and familiarity with data manipulation libraries such as Pandas and NumPy.
• Familiarity with data pipeline orchestration tools like Step Functions, AirFlow or similar.
• 2+ years of experience with CI/CD, CloudFormation, Changeset execution and rollback.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Experience with entity resolution or similar technology is plus.

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

https://www.verisk.com/privacy-policies/data-privacy-notice-for-employees-applicants-and-independent-contractors/