Sr Data Engineer - AI/Enrichment Platforms REMOTE

An employer is a seeking a Senior Data Engineer to support a current scrum team titled Enrichment Platform and Agents, focused on building and managing scalable data ingestion, transformation, and egress pipelines within the Data 360 ecosystem. This role will be responsible for ensuring reliable, high-volume data movement from third-party providers and enabling downstream consumption across enterprise systems, including internal.
Day to Day Responsibilities

Build and maintain data ingestion pipelines for third-party data sources into Data 360
Manage and optimize data egress patterns to downstream systems (e.g., Salesforce CRM and other destinations)
Develop batch and real-time data pipelines to support enrichment workflows
Monitor, troubleshoot, and maintain pipeline health and performance
Track and report key data ingestion KPIs (volume, throughput, pipeline performance)
Collaborate with Product, Data Science, and Analytics teams to support use cases
Ensure data quality, reliability, and scalability across pipelines
Contribute to integration design patterns across distributed systems

This role is fully remote and ideally working CST or PST hours.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:


Required Skills & Experience

5-8+ years of experience in data engineering, ideally supporting AI-driven workflows, especially around data distribution and agent use cases

Strong experience with ETL tools (Informatica preferred)

Hands-on experience with Airflow (orchestration) and MuleSoft (integration)

Advanced SQL skills with Snowflake and relational databases

Strong Python experience for custom ETL workflows

Proven experience building batch and real-time data pipelines

Experience with dbt for transformation and modeling

Familiarity with AWS and/or GCP environments

Strong understanding of Data modeling, Data warehousing, Big data processing

Experience with data quality, monitoring, and pipeline orchestration frameworks


Nice to Have Skills & Experience

Experience working with Salesforce platforms, data models, Flows, or Apex

Exposure to event-driven architectures

Experience working with third-party data providers and APIs


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.