About Entravision
Entravision is a leading global advertising, media and ad-tech solutions company connecting brands to consumers by representing top platforms and publishers. Our service portfolio enables high-performance campaigns while using highly competitive audience reach, cutting-edge mobile programmatic solutions, machine-learned bidding algorithms and demand-side platforms on a global scale.
In the US, Entravision is a leader in Hispanic marketing & media solutions serving both local and national Clients for more than 25 years. Our unique portfolio includes primarily Spanish language TV & Radio broadcast assets across 35 markets, an exclusive audio network & streaming platform, and a robust mix of curated digital & social media content solutions.
Data Engineer
Santa Monica, CA | Full Time
COMPENSATION RANGE: 70,000.00 - 120,000.00
Role Overview:
We are seeking a highly skilled and motivated Data Engineer to join our dynamic data team. The ideal candidate will have deep expertise in SQL, cloud platforms, data modeling, and building production-ready ETL pipelines. This role will be essential in designing and maintaining scalable data infrastructure, ensuring seamless data integration, and optimizing end-to-end data workflows. As a key player in shaping our data architecture, you will contribute to building robust, cloud-based solutions that support data analytics and business intelligence initiatives across the organization.
Key Responsibilities:
- Develop, test, and deploy ETL pipelines to move and transform data across multiple data sources.
- Build integrations with third-party tools, APIs, and services, ensuring data is synchronized and accessible.
- Manage and optimize data storage, particularly in cloud-based OLAP databases (e.g., Snowflake, Redshift).
- Work with cross-functional teams including data scientists, business analysts, and product teams to understand data needs and ensure effective solutions.
- Monitor and tune data processes and queries for optimal performance and efficiency.
- Help design, deploy, and maintain cloud infrastructure and storage.
- Maintain clear and comprehensive technical documentation of data pipelines, workflows, and infrastructure.
- Knowledge of containerization technologies like Docker and Kubernetes and experience with deploying data pipelines in containerized environments.
Required Skills:
- Strong SQL scripting skills for querying and manipulating data.
Hands-on experience with cloud-based data warehouses such as Snowflake or Redshift. - Familiarity with ETL tools such as Fivetran, Stitch, Rivery, or Airbyte.
Experience working with AWS cloud services including S3, AWS Batch, ECR, Lambda, SNS, SQS, and other managed cloud platforms. - Experience writing production-ready, testable code in languages like Python, Scala, or Java.
- Familiarity with project management and documentation tools like JIRA Software, JIRA Service Management and Confluence.
- Experience with data transformation tools such as DBT (Data Build Tool).
- Advanced experience with API integrations and automating data ingestion.
Experience with data orchestration tools like Apache Airflow or Luigi for scheduling and managing workflows. - Experience with data modeling techniques such as Kimball, Inmon, or Data Vault.
- Experience with CI/CD pipelines, deployment, and automation using Git and other DevOps tools.
Nice to Haves
- Understanding of data governance practices and tools for managing data quality, lineage, and security.
- Experience with large-scale data processing frameworks such as Spark or Hadoop.
- Knowledge of data streaming tools and best practices using Kafka, Kinesis, or similar technologies.
- Experience with NoSQL technologies like MongoDB, Cassandra, or Elasticsearch.
Qualifications
- Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related quantitative discipline.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
POSITION TYPE/EXPECTED HOURS OF WORK
This is a Full Time position. Actual schedule and hours may vary.
SUPERVISORY RESPONSIBILITY
Reports directly to Manager, Data Engineering
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Entravision Communications Corporation participates in the E-Verify system operated by the US Department of Homeland Security and the Social Security Administration and will use E-Verify to confirm work eligibility for all new hire employees.
Entravision Communications is an Equal Opportunity Employer.
We encourage women and minorities to apply
