Staff Software Engineer, Data Infrastructure

Jobtailor; California (MO); On-site; USD 180,000 - 280,000; Full time

Job summary

Jobtailor is seeking an experienced data infrastructure leader to design and implement secure data access controls, build robust data pipelines, and ensure the integrity of financial reporting and analytics. You will lead large-scale infrastructure projects, collaborate with data scientists and business stakeholders, and drive technical direction across teams.

Required 10+ years in software engineering, strong cloud and IaC experience (GCP/AWS, Terraform/Pulumi), and a background in fintech or

Qualifications

• 10+ years in a Software Engineer role (excl. internships).
• Experience building data infrastructure and distributed systems.
• 3+ years leading large-scale projects or teams.
• Ability to set technical direction for a team.
• Strong proficiency in Python, Go, or Java.
• Experience with IaC (Terraform or Pulumi).
• Experience with cloud platforms (GCP or AWS).
• Knowledge of ITGC, GDPR, and financial controls.
• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure.
• Experience with Kubernetes and cloud-native architectures.
• Fintech or financial services experience beneficial.
• Security engineering focused on data protection.

Responsibilities

• Design and implement data access control systems.
• Build data pipelines and warehouses for financial reporting.
• Ensure data integrity and availability for financial systems.
• Manage external relationships for revenue ingestion pipelines.
• Architect disaster recovery, backup, and replication systems.
• Ensure high availability of cloud storage and rapid data recovery.
• Scale data processing infrastructure using BigQuery, BigTable, Airflow, dbt, Spark.
• Optimize query performance and enable self-service analytics.
• Set technical direction for teams and lead large-scale projects.
• Collaborate with data scientists, analysts, stakeholders.

Skills

Data access control

Data pipelines

Data warehousing

Cloud platforms

Security and compliance

Leadership

Collaboration

Education

Bachelor's degree or equivalent

Tools

Terraform

Pulumi

GCP

AWS

Airflow

BigQuery

Spark

Kubernetes

Job description

• Design and implement robust data access control systems, including permission management, audit logging, IAM policies, ACLs, and security controls


• Build and maintain data pipelines and warehouses for business-critical financial reporting


• Ensure data integrity, accuracy, and availability for financial systems and revenue, usage, and business metrics


• Manage external relationships and upstream dependencies for third-party revenue ingestion pipelines


• Architect disaster recovery, backup, and replication systems for petabyte-scale data


• Ensure high availability and durability of cloud object storage and enable rapid data recovery


• Scale data processing infrastructure using BigQuery, BigTable, Airflow, dbt, and Spark


• Optimize query performance, manage costs, and enable self-service analytics across the organization


• Set technical direction for teams and lead large-scale infrastructure projects


• Collaborate with data scientists, analysts, business stakeholders, and technical and non-technical partners

Requirements

• 10+ years of experience in a Software Engineer role, excluding internships or co-ops


• Experience building data infrastructure, storage systems, or related distributed systems


• 3+ years of experience leading large-scale, complex projects or teams as an engineer or tech lead, excluding internships or co-ops


• Ability to set technical direction for a team


• Strong proficiency in Python, Go, Java, or similar programming languages


• Experience with infrastructure-as-code, including Terraform or Pulumi


• Experience with cloud platforms such as GCP or AWS


• Ability to navigate tradeoffs between performance, cost, security, and maintainability


• Experience with security and compliance requirements such as ITGC, GDPR, and financial controls


• Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure


• Experience with Kubernetes, containerization, and cloud-native architectures


• Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks


• Experience in fintech, financial services, or highly regulated environments may be beneficial


• Security engineering background focused on data protection and access controls may be beneficial


• Bachelor's degree or an equivalent combination of education, training, and/or experience


• Relevant field of study demonstrated through coursework, training, or professional experience


• Staff are expected to work from one of the company's offices at least 25% of the time


• Visa sponsorship may be available depending on the role and candidate

Core Competencies

Demonstrates expertise in designing and implementing data access control systems, managing data pipelines, and ensuring data integrity for financial reporting. Proficient in leading large-scale infrastructure projects and setting technical direction while collaborating with diverse teams.

Highest-signal resume keywords

• Data Infrastructure Development


• Cloud Platform Experience (GCP, AWS)


• Programming Proficiency (Python, Go, Java)


• Infrastructure-as-Code (Terraform, Pulumi)


• Security and Compliance Knowledge (ITGC, GDPR)

ATS Optimization Keywords

Hard Skills

• Data Access Control Systems


• Data Pipeline Management


• Data Warehousing


• ETL/ELT Pipelines


• BigQuery


• BigTable


• Airflow


• Spark


• Kubernetes


• Cloud-Native Architectures

Soft Skills

• Technical Direction Setting


• Collaboration


• Project Leadership

Industry Keywords

• Fintech


• Financial Services


• ITGC


• GDPR


• Data Protection

Tools & Technologies

• Terraform


• Pulumi


• GCP


• AWS