Senior Software Engineer, Data

CLEAR - CorporateNew York, NY
$225,000 - $300,000Onsite

About The Position

As a Senior Software Engineer, Data, you will design, build, and operate the next generation of our data platform and products – going beyond ID to power a networked digital identity – while keeping member privacy, security, and reliability at the core.

Requirements

  • 6+ years of data engineering experience with strong Python and SQL skills, including designing and operating scalable batch and/or streaming data pipelines and orchestration (e.g., Dagster, Airflow, Luigi, dbt, Snowflake, Spark, Kafka, Databricks, or similar technologies).
  • Working with cloud-based application development and data platforms, including AWS services, modern data warehouses (e.g., Snowflake), evaluating different data platform integration tooling (e.g. APIs, CDC, batch ingestion, streaming) and collaboration/integration tools like GitHub, Argo, Jenkins, or equivalent.
  • Designing and implementing robust data models and transformations in the data warehouse (e.g., dbt, Snowflake) as well as self-service tooling for the other members of the data platform team.
  • Articulating technical concepts to mixed technical and non-technical audiences, collaborating across teams, mentoring less experienced engineers, and maintaining clarity in ambiguous problem spaces.
  • Demonstrating curiosity about technology, a bias toward continuous learning, and a strong sense of ownership over architecture, quality, and process improvements in a fast-moving environment.

Responsibilities

  • Build and operate scalable, reliable data systems and pipelines – from ingestion to modeling to visualization – so Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner.
  • Develop and maintain end-to-end data products and pipelines (batch and/or streaming) that collect, clean, transform, and model data, and own the infrastructure that powers them to unlock new business use cases and reporting.
  • Implement and maintain infrastructure-as-code, CI/CD, and shared developer tooling for data products (e.g., Pulumi/Terraform, GitHub, orchestration tools like Dagster/Airflow) to make it easy and safe for teams to build, test, and ship changes across environments.
  • Improve the security, compliance, and cost posture of the data stack through robust dependency management, IAM and secrets hardening, observability, and performance/cost optimizations.
  • Partner with product and other stakeholders to uncover requirements, make architectural decisions, and continuously improve our data platform and processes.

Benefits

  • meals and snacks
  • stipend and reimbursement programs
  • comprehensive healthcare plans
  • family building benefits (fertility and adoption/surrogacy support)
  • flexible time off
  • free OneMedical memberships for you and your dependents
  • 401(k) retirement plan with employer match
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