Senior Software Engineer, Data Platform
Build foundational data platform infrastructure for analytics, machine learning, and cloud operations. The role requires 5+ years of software or data infrastructure engineering experience, strong Python and systems programming skills, distributed systems knowledge, and advanced SQL expertise.
About the job
Responsibilities
- Architect and build scalable, reliable data platform infrastructure for analytics, machine learning, and operational intelligence.
- Develop high-performance data processing frameworks and storage solutions for AI infrastructure and cloud operations.
- Implement data validation, monitoring, and observability systems to ensure data integrity and platform reliability.
- Collaborate with software engineers, data scientists, and operations teams to deliver enabling infrastructure.
- Establish data engineering best practices, contribute to architectural decisions, and mentor team members.
- Drive projects from conception through production with minimal supervision.
Requirements
- 5+ years of progressive, post-baccalaureate experience in software engineering, data infrastructure engineering, or a related role.
- Bachelor’s degree or foreign equivalent in Computer Science, Data Engineering, Information Systems, or a closely related technical field.
- Proficiency in Python and at least one systems-level language; Go preferred, with Java, C, or C++ also valued.
- Experience designing and building data platforms, including data warehouses, data lakes, streaming systems, and ETL/ELT frameworks.
- Knowledge of distributed computing principles and experience building reliable, scalable systems.
- Advanced SQL skills for data modeling, query optimization, and database design.
- Familiarity with CI/CD, containerization, and infrastructure automation.
- Strong ownership, autonomy, and communication skills.
Nice to Have
- Experience with Google Cloud data services, including BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Experience with Apache Beam.
- Experience building infrastructure for AI/ML workloads or cloud computing platforms.
- Experience on a growing or early-stage data team.
- Familiarity with Airflow, Dagster, or Prefect.
- Experience with real-time data processing and streaming architectures.
Compensation and Benefits
- Compensation range of $170,000–$205,000 plus bonus.
- Restricted Stock Units included in all offers.
- Paid time off and holidays.
- Health, dental, and vision insurance.
- Employer HSA contributions.
- Paid parental leave.
- Paid life insurance and short- and long-term disability coverage.
- Professional development and tuition reimbursement.
- Mental health and wellness support.
- Commuter benefits and cell phone stipend.
- 401(k) plan with company match up to 4% of salary.
- Volunteer time off.
Skills
Python, Go, Java, C, C++, Data Warehousing, Data Lakes, Streaming Systems, ETL, ELT, Distributed Systems, SQL, CI/CD, Containerization, GCP
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