Mid Level Software Developer
Leidos
ASP.NETJavaScript.NETNuxtSQLTypeScriptVue.js
Senior Software Engineer, Data Infrastructure
Webflow
full-time
Posted on:
Location Type: Remote
Location: Remote • California, New York, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $150,100 - $207,100 per year
Job Level
Senior
Tech Stack
AirflowAWSCloudDistributed SystemsDockerKafkaKubernetesSparkTerraform
About the role
- Build and operate core data infrastructure across Airflow, Spark, and AWS to support both batch and streaming pipelines, ensuring reliability, scalability, and performance.
- Implement and extend metadata and catalog systems (e.g., OpenMetadata) to deliver capabilities like dataset discovery, lineage, and documentation — empowering data users with visibility and self-service.
- Develop platform capabilities and event governance frameworks that enable consistent event instrumentation and publishing across data systems, ensuring schema integrity, quality, and compliance.
- Implement secure and compliant data access and policy enforcement, leveraging IAM roles, schema registries, and automation to meet governance and residency requirements (GDPR, CCPA).
- Design and operate resilient infrastructure — including VPCs, networking, high availability, and disaster recovery — with Pulumi-based automation across compute, storage, and data lake components (S3, Iceberg).
- Collaborate with Analytics, ML, and Security teams to embed metadata-driven observability, enforcement, and streamlined onboarding of datasets, pipelines, and workflows into the platform.
- Participate in incident response, code reviews, and design discussions, contributing to an operationally excellent and collaborative team culture.
Requirements
- 5+ years of experience in data infrastructure, platform, or backend engineering, with hands-on expertise managing systems like Kafka, Spark, and Airflow.
- Strong proficiency with cloud environments (compute, storage, networking, IAM) and infrastructure as code using Pulumi or Terraform.
- Experience building and operating containerized workloads with Docker and Kubernetes.
- Understanding of the foundations of data governance and metadata management — including schema evolution, lineage, and access control.
- Familiarity with event instrumentation frameworks and governance practices, ensuring event schemas, naming conventions, and data contracts remain consistent and high-quality.
- Familiarity with monitoring, logging, and observability tools, ensuring reliability and performance across distributed systems.
- Strong problem-solving, communication, and collaboration skills.
- Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.
Benefits
- Equity ownership (RSUs) in a growing, privately-owned company
- 100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment
- 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement
- Flexible PTO for all locations and sabbatical program
- Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
- Monthly stipends to support work and wellness
- 401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data infrastructurebackend engineeringmetadata managementevent instrumentationdata governanceschema evolutioncloud environmentsinfrastructure as codecontainerizationmonitoring tools
Soft skills
problem-solvingcommunicationcollaborationcuriosityopenness to growth
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