We are looking for a Junior to Midlevel Software Engineer who is eager to learn, grow, and contribute tomeaningful data challenges from day one. This is a role for someone who enjoys writing code, buildingpractical solutions, and developing their skills alongside experienced engineers in a collaborative environment.
You will contribute to the development of data-intensive applications that power our identity and analyticsplatform. You will support ETL and AI generated pipelines, implement tagging solutions, and write clean SQLand JavaScript—growing your skills in a production environment with real impact.
If you are curious about data, comfortable with SQL and JavaScript, and excited to build workflows solutionsthat power real marketing decisions—this role is a great place to grow.
What You’ll Do
Contribute & Collaborate
• Work alongside senior engineers to implement features, fix bugs, and participate in codereviews—learning team standards and best practices through hands-on collaboration.• Build and maintain ETL and AI generated pipelines that extract, transform, and load identity andbehavioral data across our platform.• Implement and maintain tagging solutions that support audience segmentation, tracking, andmeasurement workflows.• Contribute to technical documentation and assist in translating business requirements into well-scopeddevelopment tasks.
Build & Learn
• Write SQL queries and stored procedures against AWS Redshift and SQL Server to support datapipelines, reporting, and platform operations.• Develop JavaScript-based components and integrations that support front-end tagging, data capture,and audience activation workflows.• Assist in building and maintaining backend services and APIs that support our targeting andmeasurement platform.• Support Python-based data workflows and contribute to scripts that process and transform identity andbehavioral datasets.• Learn and apply AI-assisted development tools—including code-generation assistants and automatedtesting aids—to build good habits and improve your own productivity.Grow & Improve
• Participate in the migration and improvement of existing systems, gaining exposure to cloud-nativearchitectures on AWS.• Explore and adopt emerging developer tools and AI-assisted workflows to accelerate your ownlearning and output quality.• Collaborate with product and data teams to understand requirements and develop practical solutionswith guidance from senior engineers.
Qualifications
Required
• 1–3 years of software engineering experience, including early-career roles involving data orapplication development.• Strong proficiency in SQL (required)—comfortable writing queries, joins, and transformationsagainst relational databases; experience with JavaScript and working knowledge of Python.• Familiarity with ETL concepts and processes—experience building or maintaining data pipelinesthat extract, transform, and load structured data.• Familiarity with AI frameworks, Business Intelligence processes (strongly preferred) in theautomation of services related to data and service delivery.• Experience with tagging implementations—pixel tags, tracking tags, or data layer implementationsfor audience segmentation or analytics purposes.• Strong attention to detail and a willingness to learn—comfortable asking questions, takingfeedback, and iterating quickly in a collaborative team environment.• A curious, problem-solving mindset: you enjoy digging into data, asking why things work the waythey do, and finding cleaner ways to get the job done.• Bachelor’s degree in Computer Science, Information Systems, or a related field—or equivalentpractical experience through coursework, bootcamps, or self-directed projects.• Must be authorized to work in the United States; no visa sponsorship available.Preferred• Exposure to cloud data platforms such as AWS Redshift, Snowflake, or BigQuery—even throughacademic projects or personal work.• Experience with Python scripting or automation—even simple scripts that manipulate or movedata between systems.• Basic familiarity with digital marketing concepts such as audience targeting, pixels, orattribution—curiosity about how data drives marketing decisions is a plus.• Any exposure to version control (Git), REST APIs, or basic software development workflows.• Interest in AI-assisted development tools (e.g., GitHub Copilot or similar) and a habit of using them tolearn and improve code quality.
Why This Role
• Get hands-on experience with real production data systems—ETL pipelines, tagging, SQL—on aplatform that processes hundreds of millions of identity records.• Work at a company that actively invests in and encourages the use of AI to improve how engineersbuild and how systems perform.• Work on genuinely interesting data problems—big scale, regulated industries, real-timerequirements—with mentorship and support as you build your skills.• Join a focused, supportive team where your contributions are visible, your questions are welcome, andyour growth is a shared priority.
• Competitive compensation and the energy of an on-site, collaborative environment in North Andover,MA.