Position OverviewJoin Us as a Lead Data Engineer!
The Atlas Team operates at the intersection of Vehicle Design and Software/Data Engineering. We’re seeking a candidate to help us build out our application ecosystem!
Responsibilities
- Transform raw, complex data into governed high-performance pipelines using cutting-edge tools such as Databricks
- Build and rigorously test data products to support analytics, operational reporting, and real-time decision-making
- Build scalable pipelines that bring together data from legacy and modern enterprise platforms including DB2, Teradata, Hadoop, and Snowflake
- Lead the design and delivery of Azure based data engineering solutions using ADF, ADLS, and Databricks
- Define, enforce, and educate the team on data engineering standards
- Build RESTful APIs, event-driven pipelines, and integrate third-party services
- Support CI/CD deployments, auditing, and troubleshooting across environments
Minimum Requirements
- Bachelor's degree and at least 2 years of data engineering, data quality and/or analytics or statistical analysis experience
OR
- Master's degree and at least 1 year of data engineering, data quality and/or analytics or statistical analysis experience
OR
- At least 5 years of data engineering, data quality and/or analytics or statistical analysis experience
Additional Requirements
- Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)
Desired Skills
- 5 years of data engineering, data quality/analytics, statistics or related experience
- Take pride in clean code, scalable systems, documentation, and rigorous testing
- Collaborative mindset that seeks constructive feedback and offers coaching to more junior teammates
- Excellent in languages such as SQL, Python, and PySpark
- Strong knowledge of cloud-based data platforms such as Azure Data Factory, AWS Glue, or Databricks
- Deep understanding of data engineering concepts such as medallion architecture, data governance, and distributed systems
Benefits and Compensation
This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.
