JSG (Johnson Service Group, Inc.)
Senior Data Engineer
JSG (Johnson Service Group, Inc.), Calabasas, California, United States, 91302
Senior Data Engineer – Contract to Hire
JSG is seeking a Senior Data Engineer for a client in Woodland Hills, CA. This role is on‑site and requires local Southern California candidates. The initial employment will be on a W2 with JSG.
Heavy use of Python (90%) and SQL (10%) for data processing, orchestration, and automation is required. Responsibilities include designing, scaling, and optimizing the enterprise data platform, building cloud‑native data pipelines, lakehouse/warehouse architectures, and multi‑system integrations that support Finance, CRM, Operations, Marketing, and guest experience analytics.
Key Responsibilities
Design, build, and maintain ELT/ETL pipelines across Snowflake, Databricks, Microsoft Fabric Gen 2, Azure Synapse Analytics, and legacy SQL/Oracle platforms.
Implement medallion/lakehouse architecture, CDC pipelines, and streaming ingestion frameworks.
Leverage Python and SQL for data processing, orchestration, and automation.
Manage AWS and Azure multi‑account environments, enforcing MFA, IAM policies, and governance.
Build serverless architectures (AWS Lambda, Azure Functions, EventBridge, SQS, Step Functions) for event‑driven data flows.
Integrate infrastructure with CI/CD pipelines (GitHub Actions, Azure DevOps, Airflow, dbt) for automated testing and deployments.
Deploy infrastructure as code using Terraform and Azure DevOps for reproducible, version‑controlled environments.
Implement observability and monitoring frameworks (Datadog, Prometheus, Grafana, Kibana, Azure Monitor) to ensure system reliability, performance, and cost efficiency.
Collaborate with stakeholders to deliver secure, scalable, and cost‑efficient data solutions.
Background in Finance or consumer‑facing industries is preferred.
Qualifications
Senior or mid‑senior level experience in data engineering or a related field.
Expertise in Python (90% focus) and SQL (10% focus).
Experience with cloud data platforms such as Snowflake, Databricks, Azure Synapse, and AWS or Azure services.
Strong knowledge of data pipeline architectures, CDC, streaming, and serverless technologies.
Hands‑on experience with Terraform, CI/CD, and monitoring tools.
Excellent problem‑solving skills and ability to collaborate across teams.
Salary: $67 – $70 per hour.
Benefits: medical, dental, vision, life insurance, short‑term disability, 401(k), weekly pay, and more.
Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.
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Heavy use of Python (90%) and SQL (10%) for data processing, orchestration, and automation is required. Responsibilities include designing, scaling, and optimizing the enterprise data platform, building cloud‑native data pipelines, lakehouse/warehouse architectures, and multi‑system integrations that support Finance, CRM, Operations, Marketing, and guest experience analytics.
Key Responsibilities
Design, build, and maintain ELT/ETL pipelines across Snowflake, Databricks, Microsoft Fabric Gen 2, Azure Synapse Analytics, and legacy SQL/Oracle platforms.
Implement medallion/lakehouse architecture, CDC pipelines, and streaming ingestion frameworks.
Leverage Python and SQL for data processing, orchestration, and automation.
Manage AWS and Azure multi‑account environments, enforcing MFA, IAM policies, and governance.
Build serverless architectures (AWS Lambda, Azure Functions, EventBridge, SQS, Step Functions) for event‑driven data flows.
Integrate infrastructure with CI/CD pipelines (GitHub Actions, Azure DevOps, Airflow, dbt) for automated testing and deployments.
Deploy infrastructure as code using Terraform and Azure DevOps for reproducible, version‑controlled environments.
Implement observability and monitoring frameworks (Datadog, Prometheus, Grafana, Kibana, Azure Monitor) to ensure system reliability, performance, and cost efficiency.
Collaborate with stakeholders to deliver secure, scalable, and cost‑efficient data solutions.
Background in Finance or consumer‑facing industries is preferred.
Qualifications
Senior or mid‑senior level experience in data engineering or a related field.
Expertise in Python (90% focus) and SQL (10% focus).
Experience with cloud data platforms such as Snowflake, Databricks, Azure Synapse, and AWS or Azure services.
Strong knowledge of data pipeline architectures, CDC, streaming, and serverless technologies.
Hands‑on experience with Terraform, CI/CD, and monitoring tools.
Excellent problem‑solving skills and ability to collaborate across teams.
Salary: $67 – $70 per hour.
Benefits: medical, dental, vision, life insurance, short‑term disability, 401(k), weekly pay, and more.
Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.
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