Lead Data Engineer (Los Angeles)

GENNTE Technologies
Washington, US
Remote

Job Description

  • Experience: 8–12 years
  • Strong data engineering background
  • Databricks is a must, along with experience in data modeling, building pipelines, orchestration, and supporting reporting teams

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):

  • 8-12 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

Qualifications (Preferred):

  • 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.)

Skills & Requirements

Technical Skills

DatabricksSqlPythonPysparkAirflowAwsGcpAzureTableauPower biHadoopHiveHbasePigSparkLeadershipCommunicationData engineering

Employment Type

FULL TIME

Level

lead

Posted

5/8/2026

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