Description

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 Engineering team at System1 is focused on building data assets, catalog, frameworks, and automation to ensure smooth running data pipelines and infrastructure. We process billions of records per day, for the benefit of multiple business functions like business intelligence, data analytics, data science & machine learning, traffic quality and serving optimizations.

You would be working in a fast-paced environment where data system scalability, reliability, usability, efficiency and data quality are the goals. Come join us!

The Role You Will Have:

Designing, development and productizing of new well-orchestrated data pipelines, with data ingestion from various sources, delivering data assets at specific destinations.
Gather requirements, understand the big picture, create detailed proposals in technical specification documents.
Provide mentorship to colleagues within the team, and across the organization. Proof of concept evaluations of new technologies, new features, patterns, frameworks, API.
Influence the adoption of new or better practices, and outreach across the organization.
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.
Consolidate and modernize the codebase.

What You Will Bring:

Bachelor’s or Master’s degree in Computer Science/Engineering.
Very strong SQL proficiency, and SQL query optimization experience is required.
Extensive expertise in Python programming is required. Scala, Java experience is a bonus.
Excellent communication skills.
Proponent of strong 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.
Hands-on experience with modern orchestration platforms, such as Airflow.
Experience in relational databases like Postgres, MySQL, Oracle or SQL Server required.
Experience in non-relational technologies like MongoDB, Redis, DynamoDB or Cassandra is preferred.
Applications and data-flow development in the Hadoop ecosystem is a plus.
Deep understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing.
Excellent data modeling skills, database design, relational/non-relational.
Very comfortable with exploring new technologies, leveraging new patterns, designing new data architectures, and creative problem solving.
Familiarity with docker, kubernetes containerization strategies and optimization is preferred.
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 strong plus.
Strong Linux skills.

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 $172,000 - $257,000 + 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.

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