Data Solutions Engineer

October 24

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Logo of Higher Logic

Higher Logic

B2B • B2C • SaaS

Higher Logic is a leading provider of community engagement solutions. Since its inception in 2007, the company has been helping associations, businesses, and organizations build and manage their online communities. Its platforms, Higher Logic Thrive and Higher Logic Vanilla, facilitate member engagement, member acquisition, and customer retention through a variety of tools including AI, analytics, and integrations. Higher Logic empowers users to create and sustain meaningful connections with their communities, enhancing collaboration, advocacy, and customer experiences. The company focuses on providing comprehensive solutions for professional and trade associations, user groups, and both B2B and B2C markets.

201 - 500 employees

🤝 B2B

👥 B2C

☁️ SaaS

💰 $55M Private Equity Round on 2016-09

📋 Description

• Support Higher Logic’s strategic data initiatives by designing, developing, and scaling data pipelines and models. • Build the next generation of the data platform. • Play a key role in architecting scalable, performant, and governed data systems. • Design and build new data pipelines and lakehouse patterns. • Establish data governance and lineage foundations. • Build and optimize pipelines that power analytics and operational workloads. • Design performant warehouse schemas and ETL/ELT processes. • Lead performance and cost optimization initiatives across Glue, Databricks, and S3. • Implement data quality, documentation, and testing frameworks. • Develop infrastructure as code using Terraform and automate deployments.

🎯 Requirements

• 5+ years of experience in data engineering, including architecting scalable data platforms in AWS. • Deep hands-on experience with S3, Glue, Databricks, Postgres/MSSQL, and streaming pipelines. • Strong background in data modeling, warehouse performance tuning, and ELT patterns. • Demonstrated experience implementing data governance, quality frameworks, and ideally designing lineage systems. • Proficiency with Terraform and CI/CD (GitHub Actions) for data infrastructure. • Excellent communication skills — able to translate business needs into data architecture. • Comfortable operating as a senior team member in a growing data org, influencing architecture and mentoring others.

🏖️ Benefits

• Competitive compensation. • Comprehensive health benefits package. • 401(k) plan with employer match. • Healthcare and dependent-care flexible spending account. • Company short-term and long-term disability insurance. • Company culture that recognizes its employees. • Room for growth and development and management that cares about your professional growth and will help you achieve your goals. • Significant advancement opportunities for outstanding performers.

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