WorkWave - Senior Data Analytics Engineer
Requirements
• 5+ years of experience in data engineering roles, including taking ownership of pipelines and optimizing infrastructure. • Technical "Ninja" Skills: Ninja-level proficiency in SQL (specifically CTE optimization) and Python (complex scripting and ML/AI). • Pipeline Architecture: Expertise in architecting data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT. • Business Intuition: Proven ability to apply business intuition, leveraging analytical skills to present complex data insights and actionable recommendations to technical and non-technical stakeholders. • Visualization Proficiency: Experience building visual data analytic business-driven solutions using tools like PowerBI, Sigma, or similar analytic tools. • Masters degree in engineering or analytics • WHAT WOULD ALSO BE AWESOME: • Cloud & Big Data: Familiarity with cloud platforms like AWS and experience with big data technologies such as Snowflake. • Leadership: Proven experience in leading data engineering projects and integrating data from multiple sources. • Small Team Experience: You have worked in small teams driving innovative solutions and thrive in agile environments. • $130,000 - $175,000 a year
Responsibilities
• Ecosystem Ownership & Strategy • Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack to prevent downtime before it impacts stakeholders. • Business-First Data Modeling: Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models that make self-service easy in platforms like PowerBI, Tableau, and Sigma. • Documentation & Governance: Maintain comprehensive documentation of all data engineering processes to enable stakeholder self-service, following the industry’s best practices. • Engineering & Execution • Infrastructure Development: Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows. • Performance Tuning: Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring queries are efficient and scalable. • Data Quality Management: Implement frameworks that ensure data reliability across the organization, ensuring smooth integrations across systems. • Analytics Translation & Collaboration • Bridge the Gap: Collaborate with cross-functional product, engineering teams, and customers to translate vague business goals into precise technical requirements. • Support AI/ML: Create models that specifically enhance Analytics and AI/ML projects. • WHO YOU MIGHT BE: • We know that great talent comes from many backgrounds. If you are a technical expert who cares about the business "why," we want to hear from you. • The Product-Minded Engineer: You are a Senior Data Engineer who is tired of just "taking tickets." You want to understand the business strategy behind the data and take ownership of the full lifecycle. • The Analytics Architect: You have a background in BI or Analytics but have grown into a "Ninja-level" technical expert in SQL and Python. You build pipelines not just to move data, but to answer questions. • The Startup Builder: You have worked in small teams driving innovative solutions and are comfortable wearing multiple hats—from architecting infrastructure to troubleshooting a dashboard.
Benefits
• Please note that salary estimates provided by websites (LinkedIn, Glassdoor, etc.) and not by WorkWave may not accurately reflect the actual salary range for the position. • Opportunities to participate in charitable events and give back to the community • We understand the impact of attracting and keeping top talent and reward intellectual curiosity and a thirst for personal and professional growth • Encouraging our employees that already have an intimate knowledge of and passion for our products to apply for other roles within our walls just makes sense! • Our employees have access to extensive video libraries for soft skill and role specific training available 24/7 and live trainings are provided throughout the year • 10 Time winner of Best Place to Work in New Jersey by NJBiz! • WorkWave has been recognized with multiple awards for its outstanding products, growth and culture, including the Inc. 5000, SaaS Award, IT World Awards, Globe Awards, Silver Stevie Award for Employer of the Year, and Best Place to Work Inc. Magazine • Recently named one of The Software Report's 3rd annual list of the Top 100 Software Companies of 2022 (worldwide!)
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