Sr Data Engineer - REMOTE

Job Description An employer is seeking a Senior Data Engineer to support the Data Strategy & Operations function. This role will focus on building and managing scalable data integration patterns into Data 360, onboarding third-party data providers, and ensuring reliable ingestion, transformation, and distribution of data across the organization. The ideal candidate will combine strong technical expertise in modern data engineering stacks with hands-on experience building and maintaining production-grade pipelines in a fast-paced environment. He or she will be responsible for: Design and deliver new data integrations from third-party data providers into Data 360 Manage and enhance existing ingestion pipelines to support new datasets and evolving business needs Develop and maintain data egress patterns to distribute data outputs to multiple downstream systems and platforms Monitor, maintain, and troubleshoot batch and real-time data pipelines to ensure reliability and performance Track and report key ingestion KPIs including data volume, number of streams, pipeline health, and throughput metrics Collaborate closely with Product, Data Science, and Analytics teams to support data-driven initiatives Ensure data quality, integrity, and availability across all pipelines and integrations This role is fully remote with the preference being located with PST or CST time zone preference. 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5+ years of experience in data engineering and ETL development Strong experience with Informatica (preferred) or similar ETL tools Hands-on experience with Airflow for orchestration and MuleSoft for integrations Advanced SQL skills with Snowflake and other relational databases Proven experience building batch and real-time data pipelines Strong experience writing Python modules for custom ETL workflows Experience with dbt for data transformation and modeling Solid understanding of data modeling, data warehousing, and big data processing frameworks Experience with data quality, monitoring, and pipeline orchestration frameworks Familiarity with AWS and/or GCP environments Experience working with distributed and event-driven architectures Experience working with Salesforce platforms and data models Exposure to Salesforce Flows and Apex Experience integrating with third-party data vendors and APIs