Who are you?
You’re a builder at heart—of systems, of solutions, and of insights. You thrive in the world of data, where structure meets creativity. You’re fluent in SQL, comfortable in the cloud, and energized by automation. You get excited about prompting AI and seeing its capabilities. You’re the kind of person who sees a messy dataset and gets excited about the story it could tell. You are not afraid to jump in; you become the owner of the systems you design and maintain. You love solving puzzles, streamlining processes, and collaborating with others to turn raw data into meaningful action. You’re a team player, a systems thinker, and a lifelong learner who’s always looking for the next challenge.
Who are we?
We’re INT. We provide essential business services—Information Security, Technology, Creative, HR, and Accounting—to help our clients grow and thrive. We’re a small business that understands small businesses, and we measure our success by the success of our clients. For more than 25 years, we’ve been the behind-the-scenes engine that powers companies forward.
We’re also proudly women-owned and deeply committed to diversity, equity, and inclusion. We believe that innovation comes from different perspectives, and we’ve built a culture where every voice matters. At INT, you’ll find a team that celebrates wins together, learns from challenges, and supports each other every step of the way.
Some of the things you’ll do:
As a Data Platform Developer, you’ll wear multiple hats across data engineering, analytics, CRM administration, and software architecture. Your work will directly support business operations, decision-making, and client success. Here’s a snapshot of what you’ll be doing:
- Design, build, and maintain scalable data pipelines and ETL/ELT processes using modern cloud tools.
- Document data sources, data handling systems, pipelines, and integration guidelines to ensure transparency and maintainability.
- Automate data synchronization and ingestion across systems, including APIs and databases.
- Act as the team’s expert in prompt engineering and context design, crafting high-quality prompts and structured inputs to maximize the effectiveness of AI models.
- Leverage state-of-the-art AI tools (e.g., large language models, generative AI, and code assistants) to accelerate development, automate workflows, and enhance data-driven decision-making.
- Design and implement intelligent systems that integrate AI capabilities into enterprise data pipelines, applications, and services.
- Integrate platforms and SaaS tools (e.g., HubSpot) via APIs to streamline and automate data flows.
- Develop and maintain dashboards and reports using AWS Redshift and QuickSight to support internal stakeholders and client decision-making.
- Ensure data quality, integrity, consistency, and governance across multiple platforms and sources.
- Leverage serverless technologies (e.g., AWS Lambda) to automate and scale data workflows.
- Administer and optimize CRM systems, primarily HubSpot, including workflows, dashboards, and custom configurations.
- Perform data mapping and transformation to align disparate data formats and schemas.
- Develop scripts in Python and JavaScript to support data processing, automation, and integration tasks.
- Design, deploy, and manage cloud-based data platforms for scalable and reliable infrastructure.
- Monitor, troubleshoot, and optimize data pipeline performance across various platforms.
- Collaborate cross-functionally with internal teams to align data solutions with business requirements.
What Success for this role looks like:
- You consistently deliver reliable, scalable, and well-documented data pipelines that meet business and technical requirements.
- Data integrations across platforms are seamless, automated, and require minimal manual intervention.
- Internal and external stakeholders have access to accurate data through well-designed dashboards and reports.
- Business systems are optimized to support internal and client needs.
- Data quality and governance standards are upheld across all systems, ensuring trust and compliance.
- You proactively identify and resolve data issues, minimizing downtime and performance bottlenecks.
- Cross-functional teams view you as a trusted team member who translates business needs into effective solutions.
- You are available and responsive during business hours, providing internal teams and customer contacts with a high level of support and customer service.
- You continuously explore and implement modern tools and best practices to improve data infrastructure and workflows.
- You demonstrate strong ownership by driving projects forward, anticipating roadblocks, and adjusting priorities as needed.
What do we expect?
You live up to INT’s core values:
- We are team players, always.
- We see problems as opportunities.
- We constantly push the boundaries of our knowledge and perspectives.
- We believe that positive energy is the fuel of success.
You also:
- Take pride in your work and deliver high-quality results efficiently.
- Communicate clearly with both technical and non-technical stakeholders.
- Think strategically but execute with precision.
- Embrace documentation, process improvement, and scalable systems.
- Stay curious, ask questions, and share your knowledge with others.
- Work independently but remain plugged into the bigger picture.
Requirements for the job:
- Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Data Science, Information Systems).
- 2–4+ years of experience in data engineering, analytics, CRM administration, or software development.
- Proficiency in SQL (Redshift, SQL Server, MySQL) and scripting languages like Python.
- Experience with cloud platforms (especially AWS), including Redshift, Lambda, and QuickSight.
- Expertise with CRM systems (HubSpot preferred), including reporting, workflows, and customization.
- Demonstrated expertise in using generative AI tools (e.g., OpenAI, Anthropic, GitHub Copilot, etc.) for software development, data analysis, and problem-solving.
- Deep understanding of context engineering—structuring inputs, metadata, and system instructions to guide AI behavior effectively.
- Strong experience with AI-assisted development environments and workflows.
- Ability to translate complex business problems into AI-solvable tasks using advanced prompting strategies.
- Strong understanding of data modeling, ETL processes, and API integrations.
- Excellent problem-solving, documentation, and communication skills.
- Bonus: HubSpot certification, experience with DevOps or CI/CD, or background in software architecture.
What we can do for you:
- Full-time/exempt position.
- Base Compensation: Starting pay is $80,800-$99,500 based on your experience.
- Retirement plan (401k).
- Excellent health insurance options
- Paid Holidays
- Paid Time Off (based on length of service)
- Professional development opportunities (because we’ve got to keep learning!)
- Provide a great work environment and team members who love what they do.
Ready to apply?
Does this job speak to you? It must if you’ve made it all the way to this part of the job description! In addition to being a detailed person, you must follow systems and processes. A little trick we use to sort out the mass-applicants from the people like you who are truly interested in working here is to use our secret phrase in the last field of the application.
When you apply for this position, you must use the secret phrase: “Problems are not the enemy. Hidden problems are the enemy.”
Include a cover letter or a short video telling us why you’re the perfect fit for this role. We’re excited to meet the next member of our team!
Compensation/Benefits
The position has an estimated base salary range of $80,800-$99,500. Other compensation for the role may include participation in short- or long-term incentive programs. This position includes standard INT benefits such as health insurance coverage; life and disability insurance; a retirement savings plan; and paid time off
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