Lead Data Engineer

EXL

Lead Data Engineer building and maintaining scalable data platforms at analytics firm. Collaborate with various stakeholders to ensure high-quality data solutions and support business intelligence and AI initiatives.

Posted 5/19/2026full-timeLos Angeles • California • 🇺🇸 United StatesSenior💰 $130,000 - $170,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data engineeringanalyticsETLELTdata warehousingdimensional data modelingSQLPythonBig Data Technologiesdata pipelines

Soft Skills

leadershipanalytical skillsproblem solvingcommunicationtime managementattention to detailinitiativementorshipcollaborationproject management

Tools & Technologies

AirflowAWSGCPAzureTableauPower BIHadoopHiveHbaseSpark

Industry Keywords

data platformsbusiness intelligencereportingdata qualityperformance tuningworkflow orchestrationcloud data platformsproject documentationstakeholder managementproduction workloads

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformHadoopHBasePythonSparkSQLTableau

About the role

Key responsibilities & impact

Build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI.
Work closely with data architects, business stakeholders and analysts to develop reliable data solutions and ensure high-quality data is available across the organization.
Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
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.

Requirements

What you’ll need

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.)

Benefits

Comp & perks

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits