Software Engineer I-II 0526

We are looking for a Junior to Midlevel Software Engineer who is eager to learn, grow, and contribute to
meaningful data challenges from day one. This is a role for someone who enjoys writing code, building
practical 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 analytics
platform. You will support ETL and AI generated pipelines, implement tagging solutions, and write clean SQL
and 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 solutions
that 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 code

reviews—learning team standards and best practices through hands-on collaboration.

• Build and maintain ETL and AI generated pipelines that extract, transform, and load identity and

behavioral data across our platform.

• Implement and maintain tagging solutions that support audience segmentation, tracking, and

measurement workflows.

• Contribute to technical documentation and assist in translating business requirements into well-scoped

development tasks.

Build & Learn

• Write SQL queries and stored procedures against AWS Redshift and SQL Server to support data

pipelines, 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 and

measurement platform.

• Support Python-based data workflows and contribute to scripts that process and transform identity and

behavioral datasets.

• Learn and apply AI-assisted development tools—including code-generation assistants and automated

testing 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-native

architectures on AWS.

• Explore and adopt emerging developer tools and AI-assisted workflows to accelerate your own

learning and output quality.

• Collaborate with product and data teams to understand requirements and develop practical solutions

with guidance from senior engineers.

Qualifications

Required

• 1–3 years of software engineering experience, including early-career roles involving data or

application development.

• Strong proficiency in SQL (required)—comfortable writing queries, joins, and transformations

against relational databases; experience with JavaScript and working knowledge of Python.

• Familiarity with ETL concepts and processes—experience building or maintaining data pipelines

that extract, transform, and load structured data.

• Familiarity with AI frameworks, Business Intelligence processes (strongly preferred) in the

automation of services related to data and service delivery.

• Experience with tagging implementations—pixel tags, tracking tags, or data layer implementations

for audience segmentation or analytics purposes.

• Strong attention to detail and a willingness to learn—comfortable asking questions, taking

feedback, and iterating quickly in a collaborative team environment.

• A curious, problem-solving mindset: you enjoy digging into data, asking why things work the way

they do, and finding cleaner ways to get the job done.

• Bachelor’s degree in Computer Science, Information Systems, or a related field—or equivalent

practical 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 through

academic projects or personal work.

• Experience with Python scripting or automation—even simple scripts that manipulate or move

data between systems.

• Basic familiarity with digital marketing concepts such as audience targeting, pixels, or

attribution—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 to

learn and improve code quality.

Why This Role

• Get hands-on experience with real production data systems—ETL pipelines, tagging, SQL—on a

platform 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 engineers

build and how systems perform.

• Work on genuinely interesting data problems—big scale, regulated industries, real-time

requirements—with mentorship and support as you build your skills.

• Join a focused, supportive team where your contributions are visible, your questions are welcome, and

your growth is a shared priority.

• Competitive compensation and the energy of an on-site, collaborative environment in North Andover,

MA.