Sr Data Engineer

Anticipated hiring rate starts at: $130,000. Actual base salary will be determined based on work location, relevant experience, skills, qualification and other job related factors.

Visa sponsorship is not available for these roles.

• Design, build, and maintain scalable ETL/ELT pipelines and data workflows.
• Develop and optimize Silver and Gold layer datasets within a modern data lake architecture.
• Build data integrations supporting analytics, reporting, machine learning, and operational use cases.
• Perform data ingestion, cleansing, transformation, migration, and validation activities.
• Develop automated workflows to improve operational efficiency and data reliability.
• Ensure data quality, integrity, and performance across enterprise data platforms.
• Support batch and streaming data processing initiatives.
• Design, implement, test, and document data pipelines and integrations.
• Identify opportunities to simplify, automate, and modernize existing data processes.
• Partner with cross-functional teams to deliver trusted, curated datasets for business consumption.
• Mentor junior engineers and promote data engineering best practices.

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
• 8+ years of hands-on Data Engineering or ETL development experience.
• 2+ years of experience working with Data Lakes in a cloud environment.
• Strong experience building and supporting enterprise-scale ETL/ELT solutions.
• Hands-on experience with Databricks and/or PySpark.
• Experience developing and optimizing data pipelines within modern lakehouse architectures.
• Experience with ETL tools such as Informatica.
• Experience with event-driven and streaming technologies such as Kafka or Amazon Kinesis.
• Strong programming skills in Python, Scala, Java, or similar languages.
• Excellent problem-solving, analytical, and communication skills.

• Experience with Azure and/or AWS cloud platforms.
• Experience supporting Medallion Architecture, including Silver and Gold layers.
• Experience improving data quality, governance, and operational efficiency.
• Experience building streaming and real-time data processing solutions.
• Agile/Scrum experience.