Senior Engineer- Data Efficiency/Datalakehouse

About the Role

Key Responsibilities

• Team up with Tech leads, Managers, work in an Agile environment to tackle organization wide goals centered on Data Efficiency.
• Lead the technical onboarding of new data use cases and projects to the Lakehouse platform, working with data scientists, analysts, and business teams.
• Design, build, and optimize scalable data pipelines (ETL/ELT) for ingesting and transforming data into the Lakehouse.
• Collaborate with data producers and consumers to define data requirements, data models, and transformation logic.
• Troubleshoot and resolve technical issues related to data ingestion, processing, and consumption within the Lakehouse.
• Collaborate with platform engineers to implement infrastructure improvements to support new use cases and optimize platform performance.
• Mentor junior engineers and contribute to knowledge sharing within the team and across the organization.
• Stay at the forefront of emerging identity trends, technologies, and best practices, and apply this knowledge to enhance GEICO's data protection strategies.

Requirements

• 4+ years of experience in data engineering, data warehousing, or a related data-focused discipline, with a focus on data ingestion and onboarding.
• Experience working with data technologies such as SQL, Python, PySpark, Spark, Scala, JSON, Kafka, DBT (Data Build Tool), Iceberg, Snowflake, Airflow, ADO and Azure Data Factory (ADF).
• Experience building and operating data pipelines using technologies like Apache Spark, Flink, Kafka, etc.
• Hands-on experience with cloud data platforms, such as AWS, Azure, or GCP, and their respective data services.
• Experience with data lakehouse technologies (e.g., Delta Lake, Apache Hudi, Apache Iceberg).
• Proficiency in programming languages such as Python, Scala, or Java.
• Experience with SQL and data modeling techniques.
• Strong understanding of data governance, security, and compliance principles.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.
• Experience with CI/CD pipeline setup with best practices, with Azure DevOps (ADO) preferred.
• 4+ years of professional software development or production support experience, preferably with data pipelines and data ingestion and transformation.
• 3+ years of experience with AWS, GCP, Azure, or another cloud service.
• 2+ years of experience in open-source frameworks.
• Bachelor's Degree in Computer Science, Information Systems, or equivalent education or work experience.

Nice to Have

• Experience working with data technologies such as SQL, Python, PySpark, Spark, Scala, JSON, Kafka, DBT (Data Build Tool), Iceberg, Snowflake, Airflow, ADO and Azure Data Factory (ADF).
• Experience with cloud data platforms like AWS, Azure, or GCP.
• Experience with data lakehouse technologies (e.g., Delta Lake, Apache Hudi, Apache Iceberg).
• Experience with CI/CD pipeline setup with Azure DevOps (ADO).

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, or equivalent education or work experience.

Benefits & Perks

• Competitive salary range of $105,000 to $215,000 annually, based on experience and other factors.
• Comprehensive Total Rewards program including personalized coverage, 401K with 6% match, performance incentives, tuition assistance, and mental healthcare benefits.
• Workplace flexibility and the GEICO Flex program allowing remote work from anywhere in the US for up to four weeks per year.
• Supportive work environment with industry-leading training, certification assistance, career mentorship, and coaching.
• Inclusive culture rooted in integrity, diversity, and shared success, with employee engagement and recognition programs.