Senior Software Engineer, Data Infrastructure

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Data Infrastructure in New York (USA).

As a Senior Software Engineer in Data Infrastructure, you will play a pivotal role in building and scaling the organization’s data platforms to support analytics, machine learning, and business decision-making. You will design and operate large-scale data systems, optimize ETL pipelines, and ensure data integrity, discoverability, and governance across multiple environments. The role requires close collaboration with data scientists, analysts, and product teams to deliver reliable, high-performance solutions that drive actionable insights. You will influence the roadmap for data infrastructure, implement best practices for data storage and modeling, and contribute to the long-term strategy for cloud-native big data platforms. This position provides the opportunity to work on complex and meaningful challenges in a remote-first, innovative, and fast-growing environment. You will also be empowered to implement new technologies that enable data-driven decision-making and improve overall organizational efficiency.

Accountabilities:
• Design, build, and operate scalable data infrastructure systems for analytics, reporting, and machine learning.
• Develop and maintain ETL pipelines, ensuring data quality, integrity, and accessibility.
• Build data platform-as-a-service solutions for internal stakeholders, enhancing discoverability and usability.
• Establish data governance standards, managing contributions from multiple teams to maintain a high-quality data warehouse.
• Collaborate with cross-functional teams to inform data infrastructure strategy and roadmap.
• Optimize batch and streaming data workflows to improve latency and performance.
• Advocate for and implement new technologies or open-source frameworks to empower data and product teams.

Requirements

 • 5+ years of experience in data infrastructure, data engineering, or analytics engineering roles.
• Strong experience with relational databases (Postgres/MySQL), dbt, and Airflow.
• Hands-on experience with cloud-native big data infrastructure (e.g., BigQuery, Vertex AI on GCP).
• Proven ability to design effective data models for analytics and machine learning use cases.
• Experience managing and maintaining data warehouses with multiple contributors.
• Familiarity with feature stores, metadata management, and scheduling workflows.
• Strong problem-solving skills and ability to prioritize autonomously.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Preferred: experience in fintech, startups, self-employment financial tools, or ML feature store systems.

Benefits

 • Competitive salary range ($181,000 – $241,000) with meaningful equity participation.
• Remote-first work with flexibility to work from anywhere in the US.
• Comprehensive medical, dental, and vision benefits (100% covered for employees, 90% for dependents).
• 401(k), FSA, and commuter benefits.
• Paid parental leave of 16 weeks.
• Flexible vacation and time-off policy for appointments, mental health, and personal needs.
• Opportunities for professional development and training.
• Inclusive and diverse team environment with a focus on growth and impact.

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!

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