This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Data Platform in the United States.

As a Senior Software Engineer on the Data Platform team, you will design and build the core systems that power enterprise-scale data products. You will have the opportunity to shape the architecture of a high-performance, reliable data platform while working closely with cross-functional teams to enable data-driven features across the organization. This role emphasizes both strategic technical leadership and hands-on engineering, solving complex challenges involving large-scale datasets, distributed systems, and modern data technologies. You will contribute to designing APIs, frameworks, and infrastructure that ensure scalable, fault-tolerant data processing and drive measurable business impact. Your work will support innovation, reliability, and efficiency for internal and external data products at scale.

Accountabilities

Design, develop, and maintain scalable, high-performance data services and infrastructure
Build clean, well-tested software for ingestion, transformation, and serving of large-scale datasets
Engineer high-availability and fault-tolerant systems for data processing and storage
Collaborate with cross-functional teams to integrate with upstream systems and enable data-driven features
Evaluate and implement distributed storage, compute, and query technologies to optimize platform performance
Continuously improve platform reliability, efficiency, and observability through automation and monitoring
Build APIs, frameworks, and libraries to standardize data processing and access across teams

Requirements

B.S. in Computer Science or related technical field (or equivalent experience)
5+ years of experience as a Software Engineer or Data Engineer building production systems at scale
Strong software engineering fundamentals: design patterns, testing, debugging, code quality, and performance optimization
Proficiency in one or more programming languages (Python, Java, Scala, or similar)
Hands-on experience with big data technologies (e.g., Snowflake, Redshift, Spark, Hadoop/Hive)
Strong SQL skills; experience with Snowflake is a plus
Familiarity with modern data tooling (e.g., dbt, Kafka, Kinesis) is desirable
Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud infrastructure (AWS, GCP, Azure) is a plus
Excellent problem-solving, communication, and collaboration skills
Ability to work in a fast-paced, complex environment and balance technical trade-offs with business impact

Benefits

Competitive base salary with an annual bonus and equity opportunities
Flexible time off, recognition programs, and support for autonomous work
Comprehensive health, dental, and vision benefits, including company-paid options and coverage for dependents
Retirement plans with company match and financial planning resources
Parental leave and family support, including fertility, adoption, and surrogacy assistance
Holistic wellness programs, including telehealth, mental health support, and One Medical membership
Learning and development opportunities, leadership training, and career growth programs

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!