Data Engineer

As a Data Engineer, you will play a pivotal role in transforming operations by ensuring high-quality data and efficient tooling. This position involves building, maintaining, and optimizing data pipelines to drive insights, improve product solutions, and support cross-functional teams.

Experience:

• 5+ years of relevant experience in software development, specifically in data engineering.

Responsibilities:

• Design, document, build, and maintain robust data pipelines to collect, process, and store data from various sources, including user interactions, listing details, and external feeds.
• Develop data models that support efficient data analysis for merchandising optimization, ensuring data quality, consistency, and accuracy.
• Build scalable data pipelines using technologies like SparkSQL, Scala, and Python within an Airflow scheduling framework.
• Collaborate with Data Scientists, Product Managers, Operations, Finance, and Software Engineers to define data requirements and deliver impactful data solutions for merchandising and sales.
• Analyze large data sets to identify gaps, inconsistencies, and provide actionable insights.
• Contribute to the broader Data Engineering community, influencing tools and standards to enhance productivity and code quality.
• Implement effective monitoring and logging practices to maintain high-performance systems.
• Communicate effectively with non-technical stakeholders to clarify technical aspects and project impacts.

Qualifications:

• Bachelor’s degree or equivalent practical experience.
• Proficiency in relational databases and query authoring with SQL, Scala, and Python.
• Experience with Big Data technologies such as Hadoop, Hive, Spark, Presto, Flink, and Kafka.
• Ability to architect and develop solutions to complex, ambiguous problems with integrations across multiple teams.
• Experience in creating high-performance systems with reliable monitoring and logging.
• Strong collaborative skills to work effectively with cross-functional teams, including design, product, data science, and research partners.
• [Bonus] Experience with leveraging Large Language Models (LLMs).

Skills Summary:

• Programming Languages: SQL, Scala, Python
• Big Data Technologies: Hadoop, Hive, Spark, Presto, Flink, Kafka
• Data Engineering Tools: Airflow, SparkSQL
• Collaboration & Communication: Cross-functional teamwork, non-technical stakeholder communication
• Design & Architecture: Data pipeline design, data modeling, high-performance system design

The pay range that the employer in good faith reasonably expects to pay for this position is $25.43/hour - $39.73/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.