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Data Engineer

Insurance Service Office, Inc.

Jersey City, NJFull-time$167–172K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$167–172K/yr
Location
Jersey City, NJ
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Insurance Services Office, Inc. seeks a Data Engineer to build and optimize data pipelines and contribute to an AWS-based data platform and analytics. The role supports developers, analysts, and data scientists, and involves designing data architecture, data models, and analytics tools. Candidates must meet one of two experience paths: a bachelor’s degree with five years of related experience, or a master’s degree with two years of related experience.

Skills & qualifications

RequiredNice to have

Skills

ETL Framework DesignData Lake SecurityData Pipeline ArchitectureData Quality AnalysisDatabase DesignAWS GlueLake FormationAmazon AthenaAWS BatchAWS LambdaPythonLinux ShellBatch ScriptingAWS Database ServicesAdvanced SQLSQL Query TuningSQLAWSData ModelingData Analytics

Qualifications

Bachelor's in CS or RelatedMaster's in CS or RelatedBachelor's+5 or Master's+2 Years5 Years Related Experience2 Years Related ExperiencePermanent U.S. Work Authorization

Benefits

Medical Insurance
Vision Insurance
Dental Insurance
401(k) Match

Full job description

Experience Required

5 years

Minimum Education Required

Bachelor Degree

Compensation

$166,754.00 - $171,754.00 / Yearly

Hours Per Week

40

Number Of Positions

1

Shift

First Shift (Day)

Job Description

Insurance Services Office, Inc. seeks a Data Engineer in Jersey City, NJ.

Duties:

  • Expand and optimize our data pipeline architecture.

  • Support our software developers, data analysts and data scientists on various data initiatives.

  • Lead creation of data architecture that produces our data assets to enable our data platform.

  • Work closely with business leaders, architects, engineers, data scientists and wide range of stakeholders throughout the organization to build and execute our strategic data architecture

vision.

  • Understand SQL queries.

  • Ability to fine tune queries based on various RDBMS performance parameters such as indexes, partitioning, Explain plans and cost optimizers.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies stack

  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

  • Work with data scientists and industry leaders to understand data needs and design appropriate data models.

  • Participate in the design and development of the AWS-based data platform and data analytics.

Employer accepts a Bachelor's degree in Computer Science, Software Engineering, Analytics or a related field plus 5 years of related experience.

Requires 5 years of experience in the following:

  • Design and implementation of data ETL frameworks for secured Data Lakes.

  • Creating and maintaining optimal data pipeline architecture.

  • Examine complex data to optimize the efficiency and quality of the data being collected, resolve data quality problems, and collaborate with database developers to improve systems and database designs.

  • Building data applications using all of the following: AWS Glue, Lake Formation, Athena, AWS Batch, AWS Lambda, Python, Linux shell, and Batch scripting.

  • Experience in one of the following AWS Database services: Redshift, RDS, DynamoDB, or Aurora.

  • Experience in writing one of the following advanced SQL scripts: Self joins, windows function, correlated subqueries, or CTEs

In the alternative, the employer will accept a Master’s degree in Computer Science, Software Engineering, Analytics or a related field plus 2 years of experience.

Requires 2 years of experience in the following:

  • Design and implementation of data ETL frameworks for secured Data Lakes.

  • Creating and maintaining optimal data pipeline architecture.

  • Examine complex data to optimize the efficiency and quality of the data being collected, resolve data quality problems, and collaborate with database developers to improve systems and database designs.

  • Building data applications using all of the following: AWS Glue, Lake Formation, Athena, AWS Batch, AWS Lambda, Python, Linux shell, and Batch scripting.

  • Experience in one of the following AWS Database services: Redshift, RDS, DynamoDB, or Aurora.

  • Experience in writing one of the following advanced SQL scripts: Self joins, windows function, correlated subqueries, or CTEs

Benefits offered include health, vision, and dental plans; 401K program with employer matching; pre-tax transit, parking, and health savings account options; telemedicine; flexible spending accounts; life and disability insurance; global well-being and thrive wellness programs; employee stock purchase plan; legal services; and more

$166,754 to $171,754 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply to jobpostingtoday.com Ref# 48692

Place of Work

On-site

Requisition ID

48692

Job Type

Full Time

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