Senior Data Analytics Engineer

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy. Beyond just managing tickets or building pipelines, you will take full ownership of the data ecosystem. You will play a pivotal role in supporting our AI/ML initiatives , managing the modern data stack while simultaneously answering critical business questions to ensure data accessibility, reliability, and scalability. WHAT YOU SHOULD KNOW ABOUT US: • We are laid back but buttoned up. We offer a casual work environment and remote work flexibility and have a passion for developing creative, innovative best in class solutions that directly contribute to the success of our customers • We care deeply and deliver service and solutions that make a real difference in the lives of our clients and their businesses • We openly accept others as they are and build strong partnerships based on trust • Teamwork and collaboration is key to help our colleagues and customers solve their challenges • Our team is energetic, fun, naturally inquisitive and eager to make an impact, we invite you to join us! LOVE WHAT YOU DO, NO MATTER WHERE YOU DO IT: • Join our Remote-First Global Work Community: WorkWave provides an innovative and dynamic remote-first Global Work Community that encourages growth, creativity, and collaboration. No matter what stage of your career or where you live, WorkWave is your place to be part of a global company with a startup feel, where your ideas matter and your growth is a priority. A GLOBAL COMPANY WITH A LOCAL PRESENCE:  • We know that there are benefits of being in the office and working from home. WorkWave promotes a healthy work/life balance and provides employees with the flexibility of collaborating in the office or the option to work virtually if desired. Our teams are well versed at working collaboratively in a fully virtual environment. • Our HQ is based at our state of the art home office in the historic Bell Works complex located in Holmdel Township, New Jersey. We keep our offices available to all to use when working remotely isn’t feasible, or to help with cross training, team building and/or brainstorming. • We have employees in over 30 states, 7 countries and many regional offices - each with their own set of perks and opportunities to give back to the local community. • Whether you work remotely or take advantage of one of our offices, you’ll find a community of WorkWavers that value diversity, and care deeply about our products, clients, our communities and each other. RELAX, WE'VE GOT YOU COVERED: • Employees can expect a robust benefits package, including health and dental and 401k with company match AND BEYOND... • Find your perfect work/life balance with our Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays • Up to 4 weeks paid bonding leave • Tuition reimbursement • Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more! • 24/7 access to virtual medical care with Teladoc • Quarterly awards based on peer nominations • Regional discounts and perks • Opportunities to participate in charitable events and give back to the community GROW WITH US: • 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 JOIN OUR WINNING TEAM! • 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!) We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status: Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At WorkWave, we are dedicated to building a diverse, inclusive and authentic workplace, so if you feel like you could make a great impact in this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may just be the right candidate for this or other roles! WHAT YOU'LL DO: 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. 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. 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. WHAT YOU'LL BRING: 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.

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