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Senior Engineer
Softcard (acquired by Google)Senior Engineer supporting the ECOS application and model delivery platform at global investment firm. Collaborating with teams to ensure accurate, timely, and scalable delivery of investment model content.
Posted 5/12/2026full-timeAtlanta • Massachusetts, Texas • 🇺🇸 United StatesSenior💰 $135,000 - $145,000 per yearWebsite
Tech Stack
Tools & technologiesAWSETLMicroservicesPythonSQLTerraform
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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