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Senior Data Engineer

Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; US New Jersey (JCO) C79 · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleSenior Data Engineer
Normalized title-
Department / teamData Management
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-19 / 2026-06-20
Changed / last seen2026-06-20 / 2026-06-20

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PageWhat it containsOpen
Company jobsActive postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Management.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
Source907773df-d032-42dc-b60a-978734f5ac21
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description We are seeking an experienced Senior Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice. This role combines deep technical expertise with strong coordination skills, working closely with onshore and offshore teams, business stakeholders, and project leadership to deliver enterprise data modernization and migration programs. The candidate will serve as a technical point of contact for cross-functional teams while remaining hands-on with cloud data technologies. Base Compensation Range: 90,000 – 140,000 The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits Responsibilities Technical Delivery Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases Drive data migration and modernization efforts from legacy environments to cloud-native platforms Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks Establish and enforce data engineering standards, coding best practices, and pipeline documentation Provide hands-on troubleshooting and performance optimization across the data stack Team Coordination & Stakeholder Engagement Coordinate day-to-day activities across onshore and offshore data engineering teams to ensure timely delivery Serve as a technical point of contact for business stakeholders, translating requirements into engineering deliverables Facilitate requirement-gathering sessions, sprint planning, and status updates with project teams Communicate project progress, risks, and dependencies to project managers and client stakeholders Mentor junior engineers and conduct code reviews to uphold quality standards Collaborate with data architects, analysts, and QA teams throughout the project lifecycle Required Skills & Qualifications Technical Skills Deep experience with Snowflake including data modeling, performance tuning Proficiency with AWS services — S3, Glue, Lambda, EMR, Redshift, Step Functions, CloudWatch Strong experience building distributed data processing frameworks with Apache Spark / PySpark Advanced SQL skills — complex transformations, query optimization, and dimensional modeling Expertise in DWH design patterns — Kimball, Inmon, Data Vault, star and snowflake schemas Demonstrated experience leading or contributing to cloud migration and legacy modernization programs Familiarity with tools such as dbt, Apache Airflow, AWS Glue, or similar orchestration frameworks Solid Python programming for data engineering and automation tasks Experience Requirements 6–9 years of progressive experience in data engineering Prior experience in insurance, financial services, or regulated industries preferred Experience coordinating distributed teams across time zones (onshore/offshore model) Demonstrated ability to engage with non-technical stakeholders and translate business requirements Exposure to Agile/Scrum delivery methodology Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field

Full job record

Job ID45dd5b171d577e2b7d200904627b4afe279fe319
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key15879
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States; US New Jersey (JCO) C79
DepartmentData Management
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawDescription We are seeking an experienced Senior Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice. This role combines deep technical expertise with strong coordination skills, working closely with onshore and offshore teams, business stakeholders, and project leadership to deliver enterprise data modernization and migration programs. The candidate will serve as a technical point of contact for cross-functional teams while remaining hands-on with cloud data technologies. Base Compensation Range: 90,000 – 140,000 The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits Responsibilities Technical Delivery Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases Drive data migration and modernization efforts from legacy environments to cloud-native platforms Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks Establish and enforce data engineering standards, coding best practices, and pipeline documentation Provide hands-on troubleshooting and performance optimization across the data stack Team Coordination & Stakeholder Engagement Coordinate day-to-day activities across onshore and offshore data engineering teams to ensure timely delivery Serve as a technical point of contact for business stakeholders, translating requirements into engineering deliverables Facilitate requirement-gathering sessions, sprint planning, and status updates with project teams Communicate project progress, risks, and dependencies to project managers and client stakeholders Mentor junior engineers and conduct code reviews to uphold quality standards Collaborate with data architects, analysts, and QA teams throughout the project lifecycle Required Skills & Qualifications Technical Skills Deep experience with Snowflake including data modeling, performance tuning Proficiency with AWS services — S3, Glue, Lambda, EMR, Redshift, Step Functions, CloudWatch Strong experience building distributed data processing frameworks with Apache Spark / PySpark Advanced SQL skills — complex transformations, query optimization, and dimensional modeling Expertise in DWH design patterns — Kimball, Inmon, Data Vault, star and snowflake schemas Demonstrated experience leading or contributing to cloud migration and legacy modernization programs Familiarity with tools such as dbt, Apache Airflow, AWS Glue, or similar orchestration frameworks Solid Python programming for data engineering and automation tasks Experience Requirements 6–9 years of progressive experience in data engineering Prior experience in insurance, financial services, or regulated industries preferred Experience coordinating distributed teams across time zones (onshore/offshore model) Demonstrated ability to engage with non-technical stakeholders and translate business requirements Exposure to Agile/Scrum delivery methodology Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Salary Min
Salary Max
Salary Currency
Salary Periodday
Source URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/15879
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/15879
First Seen At2026-06-20 12:14:05Z
Last Seen At2026-06-20 12:14:05Z
Last Checked At2026-06-20 12:14:05Z
Last Changed At2026-06-20 12:14:05Z
Inactive At
Source Posted At2026-06-19 15:59:29Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-20/2026-06-20T12-12-27-062Z-2dac21aae79e559f54342ea87d4c4bf0de39b92a05ea16bbe2c15085b6bc0c76.json
Event Fields
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Extensions
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