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Data Engineer

1 day, 5 hours ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Airflow CI/CD dbt Encryption GCP HIPAA Kafka Looker Machine Learning Python SQL Terraform Vertex AI
Apply Now
Lever

Lever

Lever is a leading Talent Acquisition Suite that provides modern hiring and talent management solutions. Their applicant tracking system (ATS) with candidate relationship management capabilities empowers hiring teams to streamline recruiting efforts an...

Professional Services
251-1K
Founded 2012
$123M raised
View All Jobs 5

Description

  • Build, maintain, and optimize batch and streaming data pipelines on Google Cloud.
  • Ingest data from APIs, databases, SaaS platforms, streaming feeds, and files.
  • Transform data and deliver curated datasets in BigQuery for analytics and machine learning.
  • Implement data quality rules, schema validation, automated testing, and pipeline monitoring.
  • Apply IAM, encryption, masking, auditing, and other governance and security standards.
  • Maintain pipeline infrastructure using Terraform and CI/CD practices.
  • Provide technical direction, lead code reviews, and establish data engineering standards.
  • Document datasets, transformations, and operational procedures.
  • Collaborate with data architects, data scientists, ML engineers, and application teams.

Requirements

  • Bachelor’s degree in computer science, software engineering, information systems, data engineering, or a related technical field.
  • 3+ years of hands-on data engineering experience building production cloud data pipelines.
  • 3+ years leading technical teams and setting technical standards across cloud and on-premises environments.
  • Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub.
  • Strong SQL and Python skills, including distributed data processing and data modeling.
  • Experience transforming large datasets and producing ML-ready training datasets.
  • Ability to obtain and maintain a federal Public Trust background investigation.
  • U.S. citizenship and physical residence in the United States for at least 3 years.
  • Preferred: Master’s degree, federal or federal health experience, and knowledge of FedRAMP, HIPAA, NIST 800-53, or CIS benchmarks.
  • Preferred: Experience with Vertex AI, feature stores, Cloud Composer, dbt, Dataplex, Datastream, Kafka, Looker, or security certifications such as CISSP or CCSP.

Benefits

  • Fully remote work within the United States.
  • Medical, vision, and dental insurance.
  • Paid vacation, sick time, and federal holidays.
  • 401(k) retirement plan with 100% company matching.
  • Employer-paid life insurance.
  • Continued education assistance.
  • Employee Assistance Program and commuter benefits.
  • Health Savings Account (HSA).

Interested in this position?

Apply directly on the company website

Apply Now

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