Lead Data Engineer

Capgemini
United States
30 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$87,506.0 - $136,718.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Airflow BigQuery Cloud Storage Code Review Continuous Integration Data Validation Information Engineering Data Fusion Data Governance Data Infrastructure
+21 more
Extract Transform Load (ETL) DevOps Distributed Systems Data Flow Control Python (Programming Language) Meta-Data Management Cloudera SQL Databases Data Logging Real Time Systems Data Ingestion Cloud Monitoring Apache Spark Multi-Cloud Plex Git Apache Kafka Data Management Terraform Data Pipelines Apache Beam

Job description

  • Team Leadership: Lead engineers, review code, establish data engineering standards, CI/CD, and monitoring (e.g., Cloud Monitoring, Logging). Leadership experience is mandatory.

  • Pipeline Development: Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.

  • Data Infrastructure: Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage.

  • Performance & Cost: Optimize pipeline performance, query efficiency, and GCP cost management (e.g., slot reservations, partitioning).

  • Collaboration: Work with data architects, scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.

  • Data Quality & Governance: Implement data validation, lineage, and metadata management (e.g., Data Catalog, dbt).

Requirements

  • Technical leadership experience is mandatory. We are looking for a lead, not a senior Data engineer. Candidates without 5+ years of experience as lead will not be considered.
  • Technical: Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam).

  • GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform.

  • Cloud SQL, Cloud Storage and GCP Suite, Cloud Run (Heavy) and custom templates

  • Kafka (based upon data source) Data Plex is use with Every workflow.

  • Leadership: Experience leading projects, mentoring teams, and driving technical roadmaps.

  • DevOps: Familiarity with CI/CD, Git, and infrastructure-as-code.
  • Leads help shape backlog and user stories (team then owns/executes)., * GCP Certifications (e.g., Professional Data Engineer).

  • Experience with real-time processing, Vertex AI, or multi-cloud environments.

  • DBT Labs & understanding of clinical/CMS billing data (context for latter: resources will be working with full medallion layers in cloud.).

Benefits & conditions

The pay range that the employer in good faith reasonably expects to pay for this position is $42.07/hour - $65.73/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

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