Home › Companies › Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 › Lead 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
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | Lead Data Engineer |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $130,000–$170,000 / year |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-01 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data Analytics. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Source | 907773df-d032-42dc-b60a-978734f5ac21 |
| ATS provider | Oracle 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
| Job ID | ff695a8d5706d5f339d737a92be3a116fdf7875f |
| Org ID | 3ea3b397-9a23-408a-8421-50fd1d902746 |
| Source ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Board ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Provider | oracle_hcm |
| Provider Job Key | 12633 |
| Title | Lead Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; EXL - New York |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Salary range: $130k-$170k plus benefits Responsibilities Lead Data Engineering (Los Angeles) Job Function |
| Salary Min | 130,000 |
| Salary Max | 170,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12633 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12633 |
| First Seen At | 2026-05-31 18:05:11Z |
| Last Seen At | 2026-06-06 11:44:11Z |
| Last Checked At | 2026-06-06 11:44:11Z |
| Last Changed At | 2026-05-31 18:05:11Z |
| Inactive At | — |
| Source Posted At | 2026-05-01 01:53:55Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-06/2026-06-06T11-42-28-116Z-9f6f0c60410cbd3bee6b0a060a8e65cb535d3b1d1066f0984f31827798e22ea6.json |
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