Senior Data Engineer

HonorVet Technologies. We''re a veteran-owned IT staffing firm, ISO 9001 and

ISO 27001

certified , working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn''t a tagline; it''s the way we work. We don''t forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there''s a fit worth exploring.

Position Title:

Senior Data Engineer Location:

Los Angeles, CA 90012 (Onsite)

Duration:

12 Months Position Overview We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. The role focuses on developing robust ETL/ELT processes, optimizing data architectures, and enabling high-quality analytics and reporting across enterprise systems. The ideal candidate will have strong experience in cloud data platforms, big data technologies, data modeling, and data governance, along with hands-on engineering expertise in Python and SQL . Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows Build and optimize data models, schemas, and data warehouse solutions Develop and support cloud-based data solutions using modern data platforms Integrate and manage APIs for data ingestion and distribution Implement and maintain data governance, security, and compliance standards Monitor, troubleshoot, and optimize data processing workflows Collaborate with BI and analytics teams to support reporting and insights Develop infrastructure automation using CI/CD and IaC tools Ensure performance, scalability, and reliability of data systems Required Skills & Qualifications Cloud & Data Platforms Strong experience with Azure ecosystem (ADF, Data Lake, Blob Storage, Functions) Experience with Databricks and Apache Spark Data Engineering Strong experience in ETL/ELT pipeline development Data modeling, schema design, and data warehousing concepts Experience with

OLTP/OLAP

systems and performance tuning Programming Strong proficiency in Python and SQL Exposure to Scala or R is a plus Big Data & Analytics Experience with Spark, PySpark, and Databricks Familiarity with BI tools such as Power BI or Tableau Data Governance & Security Knowledge of RBAC/ABAC, data lineage, and data security practices Experience implementing monitoring and audit controls in cloud environments DevOps & Infrastructure Experience with Git and CI/CD pipelines Familiarity with Terraform and infrastructure-as-code Experience with YAML-based deployment automation Experience Required 7+ years of experience in data engineering or enterprise data architecture 5+ years of hands-on experience with Azure Data Factory and Databricks 5+ years of experience building data pipelines using Python and SQL 5+ years of experience with data warehousing and BI integration 5+ years of experience with CI/CD pipelines and cloud infrastructure automation Strong experience working with Lakehouse or modern data architecture Education Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience).