Position Details

Type Full-Time

Experience entry

Exp. Years Six years of related experience.

Education Bachelor's Degree in STEM related field or equivalent

Category Data & Analytics

About this role

This Data Engineer I role focuses on building and operationalizing pipelines that make enterprise data easy to access for analytics users. You will design data solutions that support Artificial Intelligence, Machine Learning, and business intelligence/insights, while ensuring data governance, security, and quality.

Key Responsibilities

Build and operationalize complex data solutions and transformations
Design data solutions and analyze sources to determine value
Apply data governance, data security, and data quality competencies
Collaborate with teams to deliver data products and educate end users
Test data movement, transformation code, and data components

Technical Overview

You will develop ETL/ELT-style data pipelines using tools such as Talend, Informatica, and/or Ab Initio and implement transformations with Spark and/or PySpark. The role also requires strong SQL skills across multiple platforms and disciplined testing/validation of data movement and transformation code.

Ideal Candidate

The ideal candidate is an entry-level Data Engineer with a STEM bachelor’s degree and 6 years of related experience, including 1+ years with Spark and/or PySpark. They have strong ETL tooling experience (Talend, Informatica, and/or Ab Initio) and are proficient with SQL across platforms such as Oracle, Teradata, SQL Server, and/or PostgreSQL, while understanding data governance, security, and quality.

Must-Have Skills

Bachelor's Degree in STEM related field or equivalent.Six years of related experience.1+ years of experience with Spark and/or PySpark (required).Experience with ETL toolsincluding TalendInformaticaand/or Ab Initio.

Required Skills

ETLTalendInformaticaAb InitioSparkPySparkSQLOracleTeradataSQL ServerPostgreSQLdata governancedata securitydata qualitydata pipelinesdata transformation code

Hard Skills

ETLTalendInformaticaAb InitioSparkPySparkSQLOracleTeradataSQL ServerPostgreSQLdata movementdata transformation codedata componentsdata cleansing/quality solutionsdata governancedata securitydata qualityArtificial IntelligenceMachine Learningbusiness intelligence/insights

Soft Skills

collaborationeducating end usersrecommendationsinquisitive attitudetranslating stories found in dataanalysisassessment and resolution for defects and incidentscommunication

Industry & Role

Industry Insurance

Job Function Design, build, and deploy ETL and data pipelines to power analytics and AI/ML.

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL, AI & Machine Learning, Data Science

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Data EngineerData Engineer IETLETL toolsTalendInformaticaAb InitioSparkPySparkSQLOracleTeradataSQL ServerPostgreSQLdata pipelinesdata solutionsdata governancedata securitydata qualitydata cleansingdata movementdata transformation codeArtificial IntelligenceMachine Learningbusiness intelligence/insightsH-1BTNForms I-983STEM OPT

Deal Breakers

Must have Bachelor's Degree in STEM related field or equivalent., Must have Six years of related experience., Must have 1+ years of experience with Spark and/or PySpark (required)., Must have experience with ETL tools including Talend, Informatica, and/or Ab Initio., No visa sponsorship: must be authorized to work in the U.S.

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