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Softcard (acquired by Google)

Senior Engineer

Softcard (acquired by Google)

. Designing, building, and maintaining data-engineering workflows that support model delivery across multiple destinations.

Posted 5/12/2026full-timeAtlanta • Massachusetts, Texas • 🇺🇸 United StatesSenior💰 $135,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies
AWSETLMicroservicesPythonSQLTerraform

About the role

Key responsibilities & impact
  • Designing, building, and maintaining data-engineering workflows that support model delivery across multiple destinations.
  • Developing and extending the ECOS platform components responsible for ingesting, transforming, validating, and routing model content.
  • Building robust SQL Server/T-SQL–based logic for data processing, validation, auditing, and error handling.
  • Implementing scalable Python services, microservices, and automation tools supporting the end-to-end delivery lifecycle.
  • Designing and operating CI/CD pipelines for model delivery services.
  • Ensuring data quality, completeness, and traceability through proper logging, monitoring, and operational tooling.
  • Working closely with quantitative researchers and model owners to improve delivery workflows and enhance platform usability.
  • Experimenting with new tools, design patterns, and technologies to continuously improve reliability, performance, and maintainability.
  • Participating in on-call rotation or escalation support for production model delivery processes (as needed).

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 3+ years of hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
  • 3+ years of SQL Server and T-SQL experience, including complex query design, stored procedures, performance tuning, and ETL workflows.
  • 3+ years of Python experience, including data processing, service development, or automation frameworks.
  • Strong experience with data engineering concepts (data modeling, data pipelines, validation frameworks, lineage, error handling).
  • Hands-on experience with modern CI/CD and DevOps practices.
  • Experience with AWS services (e.g., Lambda, S3, Step Functions, Fargate, Aurora, Terraform) preferred.
  • Experience designing scalable systems and APIs for data-delivery use cases.
  • Experience working with structured and unstructured datasets.

Benefits

Comp & perks
  • Flexible paid time off
  • Hybrid work schedule
  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
  • Health & wellbeing benefits
  • Parental Leave benefits
  • Employee stock purchase plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQL ServerT-SQLPythondata processingETL workflowsCI/CDDevOpsdata modelingdata pipelinesvalidation frameworks
Soft Skills
collaborationproblem-solvingcommunicationadaptabilityattention to detail
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data Science