Data Engineer

Who We Are Solstice Analytics enables ecommerce and digital marketing teams greater control over how their products are found, merchandised, and sold—on-site and across all digital marketing channels. Our tools span AI-powered search, personalized recommendations, smart merchandising, optimized product data syndication, A/B Testing, and marketplace/social commerce performance. We help brands grow with sharper visibility, higher conversion, and less friction. Backed by PSG Equity and supported by a global team across North America, Europe, and APAC, we are building practical, powerful tools for the next era of commerce. Solstice Analytics unites shopper intent and product visibility across every touchpoint. Who You Are A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems Detail-oriented with a strong focus on data quality and performance • Comfortable working in fast-paced, agile environments Strong communicator who can work cross-functionally with technical and non technical stakeholders Curious and proactive with a continuous learning mindset Ownership-driven and accountable for end-to-end delivery What You’ll Do As a Data Engineer, you will be part of the team responsible for building and maintaining the production data systems that power our ecommerce platform. You will design, develop, and optimize scalable ETL/ELT pipelines across batch and streaming architectures while ensuring high reliability, observability, and performance. Working closely with Product Managers, Tech Leads, and Engineering teams, you will contribute to building data-driven systems that support leading global retailers and brands. How You Will Succeed In this role, you will lead and execute initiatives that support our data engineering and platform scalability efforts. You will collaborate closely with Product Managers, Tech Leads, and cross-functional engineering teams to design and deliver reliable data pipelines and production-grade data services. This role requires strong expertise in modern data engineering practices, cloud infrastructure, and scalable architecture design. You will play a key role in helping Solstice Analytics drive product visibility, operational efficiency, and ecommerce growth for global brands. How You Will Succeed Design, build, and maintain scalable ETL/ELT pipelines using Python for batch and streaming workloads Develop and manage production-grade data services exposed through REST and/or gRPC APIs Design and optimize data models across OLTP and OLAP systems Implement and maintain Change Data Capture (CDC) and time-travel-enabled data architectures Manage and optimize cloud-based data infrastructure across Azure, AWS, or GCP environments Own CI/CD workflows for data pipelines, including automated testing and deployments Write unit and integration tests to ensure data quality, pipeline stability, and reliability Collaborate with Product Managers and Tech Leads to scope, estimate, and deliver engineering work Participate in code reviews and contribute to engineering best practices and documentation Monitor and improve system observability, performance, and operational efficiency What We’re Looking For Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience 2+ years of experience in Python and modern data engineering practices Strong experience building production ETL/ELT pipelines for batch and streaming systems Hands-on experience with DataFrame-based processing tools such as pandas, Polars, or Arrow Understanding of OLTP vs OLAP systems and modern data modeling principles Experience with CDC frameworks and time-travel-enabled data systems such as Delta Lake or Apache Iceberg Experience building and managing REST and/or gRPC APIs Familiarity with CI/CD tools such as GitHub Actions, AWS CodePipeline, or similar • Experience working with cloud platforms such as Azure, AWS, or GCP • Knowledge of Git, Agile methodologies, and collaborative engineering workflows Experience with tools such as Apache Airflow, dbt, Kafka, Databricks, or equivalent is a plus Benefits and Company Perks 24 PTOs in a calendar year Company-paid Health Insurance Company-paid Short Term and Long Term Disability coverage Company-paid Accidental Insurance Company-paid Learning & Development (L&D) programmes Flexible work environment – work from home, office, or hybrid Collaborative and innovation-driven work culture Opportunity to work on cutting-edge AI-powered ecommerce technology Solstice Analytics is an equal-opportunity employer and proud to foster a workplace free from discrimination and harassment. We strongly believe that diverse backgrounds, experiences, and perspectives are essential in cultivating an inclusive culture and building an innovative, successful organization. All qualified applicants are considered for employment, without regard to age, race, color, religion, sex, national origin, disability, veteran st