Associate Data Engineer

Cast & Crew•Burbank, CA

1d•$90,000 - $115,000

About The Position

We are looking for a Data Engineer to help design, build, and maintain data pipelines and ETL processes that power our payroll application platform. You will work with modern tools like Apache Kafka, Apache Spark, and Snowflake, collaborating with engineering and product teams to deliver reliable data solutions. This role offers an opportunity to learn data engineering, support the design, development, and maintenance of data pipelines and ETL processes that power our payroll application platform.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field (or equivalent combination of education and experience)
Basic programming skills in Python, node.js, Scala, or similar languages
Foundational understanding of SQL and relational databases
Familiarity with data structures, algorithms, and software engineering concepts
Interest in learning big data technologies and distributed systems
Strong analytical thinking and problem-solving abilities
Excellent communication skills and ability to work in a team environment
Detail-oriented with commitment to data quality and accuracy
Eagerness to learn new technologies and adapt to changing requirements

Nice To Haves

Exposure to Apache Kafka, Apache Spark for large-scale data processing
Experience with ETL tools or frameworks (Airflow, Luigi, dbt, Talend, Informatica)
Knowledge of data pipeline orchestration and workflow management
Coursework or projects involving data warehousing or data lakes
Understanding of cloud platforms (AWS, Azure, GCP) and their data services
Familiarity with containerization (Docker) and orchestration (Kubernetes)
Experience with data modeling and schema design
Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB)
Exposure to CI/CD practices and DevOps principles
Understanding of data governance and compliance concepts

Responsibilities

Assist in building and maintaining data pipelines and support the development of ETL (Extract, Transform, Load) processes
Help implement data ingestion workflows using tools like Apache Kafka
Participate in code reviews, data validation and testing activities
Write clean, maintainable code following team standards and conventions
Support integration of payroll data and accounting systems data into Snowflake data lake
Assist in mapping data fields between different systems and ensuring data quality
Help monitor data pipelines for issues and support troubleshooting efforts
Document data flows, transformations, and pipeline architectures
Partner with product to translate business requirements into technical data solutions
Participate in agile ceremonies including sprint planning, daily standups, backlog grooming, and retrospectives
Support data requests from analytics, finance, and business intelligence teams
Assist in implementing data quality checks and validation rules
Help create and maintain automated tests and clear documentation for data pipelines, schemas, and processes
Support monitoring and alerting systems for data pipeline health
Participate in root cause analysis when data issues occur