Software Engineer, Data Platform (Remote - US)

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

This role offers the chance to design, build, and maintain a cutting-edge data platform that powers analytics, machine learning, and operational systems. The Software Engineer will work on developing scalable data pipelines, optimizing warehouses, and supporting real-time streaming and MLOps workflows. You will collaborate closely with cross-functional teams to ensure data availability, reliability, and security while enabling advanced analytics and AI at scale. This position provides exposure to modern data technologies like Databricks, Spark, Python, and streaming platforms, with the opportunity to influence architecture and deliver high-impact solutions. Your work will directly contribute to the company’s mission of empowering millions of consumers with simple, accessible financial tools.

Accountabilities

·         Design, implement, and maintain batch and streaming data pipelines to support analytics and machine learning workloads.

·         Build and optimize data platforms and warehouses for scalability, reliability, and efficiency.

·         Ensure data infrastructure meets industry standards for security, governance, and regulatory compliance.

·         Assist in re-architecting batch pipelines to real-time streaming pipelines to support operational and ML needs.

·         Establish and maintain MLOps workflows, including feature engineering, model training, deployment, and monitoring.

·         Collaborate with cross-functional teams to understand data requirements and provide actionable insights.

·         Troubleshoot and resolve data pipeline and platform issues to maintain smooth operations.

·         3–7 years of software engineering experience in data platforms or similar roles.

·         Expertise in Apache Spark for large-scale data processing.

·         Strong production-level Python programming skills.

·         Advanced SQL skills for ETL processes and data manipulation.

·         Experience with real-time streaming technologies such as Kafka or Kinesis.

·         Familiarity with MLOps practices, including model deployment, feature engineering, and monitoring.

·         Preferred: experience with Databricks, Infrastructure as Code (IaC), Terraform, or AWS.

·         Strong problem-solving skills and an “act-like-an-owner” mentality with a bias toward action.

·         Competitive base salary and stock options.

·         Comprehensive health benefits from Day 1.

·         401(k) plan with company match.

·         Remote-friendly (US) with flexible time off (FTO).

·         Opportunities for professional growth and development.

·         Inclusive, mission-driven culture where your work has tangible 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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