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HomeCompaniesFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2Lead Data Engineer

Lead Data Engineer

Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; EXL - New York · Hybrid · Active · $130,000–$170,000 / year · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleLead Data Engineer
Normalized title-
Department / teamData Analytics
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$130,000–$170,000 / year
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-01 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

Related slices

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 Analytics.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 looking for a Lead Data Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI. In this hands-on role, you will work closely with data architects, business stakeholders and analysts to develop reliable data solutions and ensure high-quality data is available across the organization. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits Salary range: $130k-$170k plus benefits Responsibilities Lead Data Engineering (Los Angeles) Job Functions: Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery. Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering. Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies. Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads. Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members. Prepare and maintain project documentation to support project execution and delivery. Expected work split 50% Technical – Data modeling, hands-on coding, orchestration, and pipeline monitoring. 50% Management– Client Collaboration, requirements gathering, designing technical solutions, presentations, global team management and mentoring. Qualifications (Required): 6-8 years’ experience in data engineering and analytics roles Bachelor’s or Master's degree in analytics, computer science/engineering, economics, mathematics,  or related areas. Experience building and maintaining ETL/ELT pipelines Solid understanding of data warehousing concepts and dimensional data modeling Familiarity with workflow orchestration tools such as Airflow or similar Experience working with cloud data platforms or modern data infrastructure Entrepreneurial hands-on approach to work. Demonstrated leadership ability and willingness to take initiative Superior analytical and problem solving skills Outstanding written and verbal communication skills Effective time management and attention to detail Hands on experience in using SQL, Python and Workflow Schedulers (Apache Airflow, Cron) Experience in leading team and coordinating with internal / external stakeholders Experience in using Cloud Platforms (AWS / GCP / Azure) Experience in using Visualization tools (Tableau / Power BI) Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) Qualifications Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery. Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering. Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies. Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads. Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members. Prepare and maintain project documentation to support project execution and delivery. Work Split 50% Technical – Data modeling, hands-on coding, orchestration, and pipeline monitoring. 50% Management– Client Collaboration, requirements gathering, designing technical solutions, presentations, global team management and mentoring.

Full job record

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Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key12633
TitleLead Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States; EXL - New York
DepartmentData Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawSalary range: $130k-$170k plus benefits Responsibilities Lead Data Engineering (Los Angeles) Job Function
Salary Min130,000
Salary Max170,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12633
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12633
First Seen At2026-05-31 18:05:11Z
Last Seen At2026-06-06 11:44:11Z
Last Checked At2026-06-06 11:44:11Z
Last Changed At2026-05-31 18:05:11Z
Inactive At
Source Posted At2026-05-01 01:53:55Z
Source Updated At
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