Data Engineer III
Los Angeles, CA / Seattle, WA
Engineering /
Full-time /
Hybrid
System1 is one of the largest customer acquisition companies in the world whose growth depends heavily on a very talented data engineering team.
The Data Operations team at System1 is an engineering team that is focused on building processes, procedures and automation to ensure smooth running data infrastructure. We process billions of records per day, providing a core component of many organizational functions. The data that flows through these systems supports business intelligence, data science and machine learning, traffic quality and analytics.
You would be working in a fast-paced environment where enhancements to system scalability, reliability, usability, efficiency and performance are the goal. Come join us!
The Role You Will Have:
- Gather requirements, understand the big picture, create detailed proposals in technical specification documents.
- Proof of concept evaluations of new technologies, new features, patterns, frameworks, API.
- Productizing data ingestion from various sources, data delivery to various destinations, and the creating well-orchestrated data pipelines.
- Consolidate and modernize the codebase.
- Continuously improve monitoring and alerting coverage.
- Communicate effectively with upstream / downstream stake-holders, with clear understanding of data contracts or dependencies.
- Conduct SQL data investigations, data quality analysis and optimizations.
- Work in a transparent, and agile team environment, supporting the peers.
- Perform maintenance of existing infrastructure, improving efficiency and costs.
- Contribute in peer code reviews, and help the team produce high quality code.
What You Will Bring:
- Bachelor’s or Master’s degree in Computer Science/Engineering.
- Very strong SQL proficiency, and preferably SQL query optimization experience.
- Programming expertise in Python, Scala, Java is preferred.
- Excellent communication skills.
- Versed in software production engineering practices, version control, code peer reviews, automated testing, and CI/CD.
- Experience in AWS cloud is required. GCP, Azure are preferred.
- Proficiency with one of the Cloud data-warehouses / data-lakes like Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks.
- Applications and data-flow development in the Hadoop ecosystem is a plus.
- Experience in databases like Postgres, MySQL, Oracle or SQL Server required.
- Good understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing.
- Experience with modern orchestration platforms, such as Airflow.
- Familiarity with docker, kubernetes containerization strategies and optimization is preferred.
- Good data modeling skills, database design, relational/non-relational.
- Working knowledge of dbt and jinja macros, dbt docs, dbt test is preferred, but not required.
- Any experience collaborating with business intelligence, data analytics, data science stake-holders is a plus.
What We Have to Offer:
- Competitive salary + bonus + equity
- Generous PTO + 11 company holidays
- Open sick time
- 100% covered Medical, Dental, Vision for employees
- 401k with match
- Health & Dependent Care Flex Spending Account
- Paid professional development
- Leadership & growth opportunities
- Virtual company and team building events
The U.S. base salary range for this full-time position is $141,000 - $211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.
System1’s headquarters is located in Marina del Rey, CA with additional offices in Bellevue, WA and Guelph, ON, Canada. Employees near office locations are returning to the office. Location-specific policies and available accommodations will be discussed during the interview process.
System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Connecticut, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment. Reasonable accommodations will be provided as applicable.
Equal Employment Opportunity:
System1 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
