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AI Data Engineer

WE KNOW BUSINESS

Aries: The Business Values

Aries Solutions is a global technology partner focused on headless platforms and full-service commerce implementations. Our team’s success comes from our transparency, flexible approach, and delivering scalable solutions. We are composable experts who strongly believe in its capabilities. Composable allows our customers to differentiate themselves the way they want to. It also enables them to choose what’s most important to their business without any extras or parts of a commerce service that underperform. As the world trends toward needing custom, headless, and cloud-based commerce platforms to run their companies efficiently, Aries Solutions will continue to meet the needs of businesses on a global scale.

WE KNOW BALANCE

Aries: The Human Values

We are foodies. You will often find Aries celebrations and gatherings centered around new or favorite restaurants and delicious libations. We are animal lovers. Pig the Dog is our mascot. She will occasionally grace us with her presence at gatherings inside and outside of the office. We are family-oriented. Whenever possible, our team gatherings outside the office include our partners and progeny. We understand that the work-life balance is easier if your company doesn’t feel that Work Is Life.

We are healthy. If you’re feeling under the weather, please work from home or talk to your manager about taking a sick day. We all benefit from this practice! We are philanthropists. It is important to us to support our surrounding community. These opportunities include hosting donation drives for food banks and animal shelters and making in-kind donations to local schools and non-profits. Our team members are invited to, but not obligated to, participate in these initiatives.

Aries Solutions boasts one of the highest concentrations of composable commerce talent. Would you like to join our team and launch your career at Aries?


AI Data Engineer

Essential Skills

  • Education: Four-year degree in Computer Science or equivalent experience.
  • 5+ years of professional data engineering experience with strong Python and SQL.
  • Experience building transformation pipelines (Airflow, Dagster, dbt, or equivalent).
  • Knowledge of how LLMs consume data (tokenization, context windows, parsing).
  • Experience with vector databases or embedding-based retrieval (Pinecone, pgvector, etc.).
  • Understanding of data quality patterns: validation, schema enforcement, and anomaly detection.
  • Experience with API-based and webhook-based data integration.
  • Excellent communication skills for technical and non-technical stakeholders.
  • Ability to manage multiple responsibilities in a fast-paced environment.
  • Comfortable in a consulting environment where data sources and quality vary wildly.

Preferred Skills

  • Experience working and integrating systems with commerce platforms (commercetools, Shopify, Kibo, or similar).
  • Hands-on experience with LLMs for production-level content generation or classification.
  • Experience with web scraping or content extraction pipelines.

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