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Accurant International · 4 months ago

Software Engineer - Data Analytics

United States

Full-time

Remote

Mid Level

$80K/yr - $100K/yr

3+ years exp

Accurant International is focused on data analytics for virtual power plants, and they are seeking a Data Analytics Software Engineer. This role involves analyzing data from numerous devices, creating scalable storage solutions, and collaborating with cross-functional teams to ensure accurate data delivery for utility customers.

Business DevelopmentConsultingManagement ConsultingVenture Capital

Responsibilities

Design, implement, and maintain efficient data pipelines for ingesting high-volume time-series data from multiple sources

Optimize data storage using scalable solutions (e.g., columnar stores, time-series databases, data lakes)

Build and manage ETL/ELT processes to ensure data integrity, quality, and availability

Develop solutions to query, aggregate, and analyze time-series data in real-time and batch modes

Grow our analysis into a Hadoop-like Big Data job

Support visualization efforts in Tableau

Build forecasting using AI models along with other team members to predict value provided to utilities

Ensure our scheduling service accurately collects data from devices

Collaborate with product and design teams to deliver the underlying data to demonstrate impact, enthrall customers, and meet business objectives

Follow engineering best practices, including code quality, testing, CI/CD pipelines, and agile methodologies

Ensure system reliability, scalability, and performance for time-sensitive data processing

Monitor data flows and build alerts for anomalies or failures in pipelines

Qualification

Big Data systemsData analyticsCloud platformsC#Data pipelinesETL/ELT processesDevOps practicesContainerization technologiesAgile methodologiesCommunication skillsProblem-solving skills

Required

Bachelor's degree in Computer Science, Software Engineering, or an Engineering field

3+ years of experience in large-scale data analytics

Experience building & operating scalable, high-performance Big Data systems (Hadoop, Spark, Azure Synapse Analytics, etc)

Strong understanding of software architecture principles, data modeling, design patterns, and best practices

Experience with cloud platforms (AWS and Azure) and microservices architectures

Proficiency in C#

Experience with Big Data databases and distributed systems

Strong problem-solving skills with the ability to analyze complex technical challenges and implement effective solutions

Excellent communication and collaboration skills, with the ability to work across teams and communicate technical concepts to non-technical stakeholders

Knowledge of DevOps practices and CI/CD pipelines

Experience with containerization technologies like Docker and Kubernetes

Knowledge of security best practices in software development

Familiarity with agile development methodologies (Scrum, Kanban, etc.)