✦ Luna Orbit — System Administration

Data Engineer I (ETL, PySpark, SQL)

at Travelers

📍 GA - Atlanta Hybrid 💰 $109K – $180K USD / year Posted April 11, 2026
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Position Details

Salary $109K – $180K USD / year
Type Full-Time
Experience entry
Exp. Years Six years of related experience
Education Bachelor's Degree in STEM related field or equivalent
Category System Administration

About this role

Travelers is seeking a Data Engineer I to build and operationalize data solutions and pipelines that support the enterprise analytics landscape. The role includes ETL development, data transformation testing, and applying data governance, data security, and data quality practices.

Key Responsibilities

  • Build and operationalize complex data solutions and ETL pipelines
  • Design data solutions and analyze sources to recommend data for analytics
  • Incorporate data governance, data security, and data quality competencies
  • Test data movement and data transformation code/components
  • Perform data and system analysis, assessment, and resolution for defects and incidents of moderate complexity

Technical Overview

Design and build ETL pipelines using Talend, Informatica, and/or Ab Initio, with required hands-on experience using Spark and/or PySpark. Use strong SQL across Oracle, Teradata, SQL Server, and/or PostgreSQL to analyze sources, transform data, test movement/code/components, and support AI/ML and business intelligence/insights use cases.

Ideal Candidate

The ideal candidate is a Data Engineer I with 6+ years of related experience and at least 1 year working with Spark and/or PySpark, plus strong SQL across multiple database platforms. They have built and operationalized ETL pipelines using Talend, Informatica, and/or Ab Initio, and they incorporate data governance, data security, and data quality into production data solutions supporting analytics and AI/ML.

Must-Have Skills

1+ years of experience with Spark and/or PySpark (required).Proficiency in SQL across multiple platformsincluding OracleTeradataSQL Serverand/or PostgreSQL.Experience with ETL toolsincluding TalendInformaticaand/or Ab Initio.Six years of related experience.

Nice-to-Have Skills

Experience with cloud and data platform

Tools & Platforms

ETLTalendInformaticaAb InitioApache SparkPySparkSQLOracleTeradataSQL ServerPostgreSQL

Required Skills

ETLPySparkSQLTalendInformaticaAb InitioSparkOracleTeradataSQL ServerPostgreSQLdata governancedata securitydata qualityArtificial IntelligenceMachine Learningbusiness intelligence/insights

Hard Skills

ETL toolsTalendInformaticaAb InitioSparkPySparkSQLOracleTeradataSQL ServerPostgreSQLdata movementdata transformation codedata componentsdata governancedata securitydata qualityArtificial IntelligenceMachine Learningbusiness intelligence/insightsdata cleansing/quality solutionstestingsystem analysisdefects and incidents

Soft Skills

collaborationeducating end usersinquisitive attitudeability to translate stories found in dataoperationalizationproblem-solvingcommunication

Industry & Role

Industry Insurance
Job Function Build and operationalize ETL and analytics data pipelines using Spark/PySpark and SQL.
Role Subtype Data Engineer
Tech Domains Python

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Data Engineer IETLPySparkSQLTalendInformaticaAb InitioSpark1+ years of experience with Spark and/or PySparkProficiency in SQL across multiple platformsOracleTeradataSQL ServerPostgreSQLdata governancedata securitydata qualitydata cleansing/quality solutionsdata movementdata transformation codedata componentstest data movementArtificial IntelligenceMachine Learningbusiness intelligence/insightsdata solutionspipelinesHybrid

Deal Breakers

Must have 1+ years of experience with Spark and/or PySpark (required), Must have proficiency in SQL across multiple platforms including Oracle, Teradata, SQL Server, and/or PostgreSQL, Must have experience with ETL tools including Talend, Informatica, and/or Ab Initio, Must be authorized to work in the U.S. and employer does not sponsor H-1B, TN, or Forms I-983/STEM OPT

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