Description We are seeking a Senior Data Engineer - Ingest to help transform data into meaningful insights and power innovation across the organization. In this role, you will work with a collaborative team of technologists to build scalable data solutions, integrate diverse data sources, and strengthen the core data platform. Your engineering expertise will directly support analytics, data science, operations, and key business stakeholders.
If you're passionate about building high-quality data systems that make a measurable impact, this role offers the opportunity to shape the future of a large, data-driven organization.
Key Responsibilities- Maintain, update, and expand configuration-driven data pipelines within the core data platform.
- Build tools and services supporting data discovery, lineage, governance, and privacy.
- Partner with software engineers, data engineers, architects, and product managers to deliver reliable and scalable data solutions.
- Help define and document data standards, naming conventions, pipeline best practices, and system guidelines.
- Ensure the reliability, accuracy, and operational efficiency of datasets to meet SLAs.
- Participate in Agile/Scrum ceremonies and contribute to ongoing process improvements.
- Collaborate closely with users and stakeholders to understand needs and prioritize enhancements.
- Maintain detailed technical documentation to support data quality, governance, and compliance requirements.
Requirements Must-Have Qualifications- 5+ years of Data Engineering experience
- Strong SQL expertise
- Hands-on experience with Databricks
- Proficiency with Python and Snowflake
- Experience working in Agile environments
- Data analysis capabilities
- Bachelor's degree in Computer Science, Information Systems, or equivalent experience
Preferred Qualifications- 7+ years developing large-scale data pipelines
- Experience with at least one major programming language (Python, Java, or Scala)
- Experience with pipeline orchestration tools (Airflow preferred)
- Cloud experience (AWS preferred), Kubernetes a plus
- Experience with ingest tools (Fivetran, Airbyte, DataFlow, Matillion, etc.)
- Strong understanding of cloud infrastructure and IaC
- Familiarity with data modeling and data warehousing methodologies
- Strong algorithmic problem-solving skills
- Excellent written and verbal communication skills
- Experience with distributed data processing, data services, or data modeling
- Familiarity with Scrum/Agile methodologies
- Ability to learn quickly and work independently with high attention to detail
Education- Bachelor's degree in a STEM field
- 5+ years of relevant experience
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