Software Engineer, Data Platform

🕒 May 9

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Lattice

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

☁️ SaaS

👥 HR Tech

🏢 Enterprise

SaaS • HR Tech • Enterprise

Lattice is a people management platform designed to help organizations improve employee engagement, performance, and development. It offers tools for performance reviews, goal setting, employee feedback, and analytics to help HR teams and managers foster a high-performance culture. Lattice integrates with various HRIS systems and aims to streamline HR operations by centralizing data and automating workflows. The platform supports strategic HR teams in managing employee information, driving performance, capturing team sentiment, and providing insights, ensuring that the company can build operational excellence and meaningful work experiences for employees.

📋 Description

• Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data • Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads. • Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling • Shape data governance practices ensuring access to data is secure, compliant, and high-quality. • Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.

🎯 Requirements

• 2+ years of experience in software, data, or analytics engineering with exposure to a centralized “data platform” or large-scale data infrastructure project. • Fluency in SQL and a general purpose programming language; Python or TypeScript preferred • Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks • Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS • Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink • Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users

🏖️ Benefits

• Medical insurance • Dental insurance • Life, AD&D, and Disability Insurance • Natural Disaster Support Program • Wellness Apps • Paid Parental Leave • Paid Time off inclusive of holidays and sick time • Working Remotely Stipend • One time WFH Office Set-Up Stipend • Retirement Plan • Financial Planning • Learning & Development Budget