Responsibilities
Team Intro
This is a Site Reliability Engineer role, focusing on the data pipeline reliability for the Video Platform team in USDS. Data SREs monitor data and keep production batch and realtime processing jobs up and running with the highest level of availability, ensuring our users have the freshest, complete and correct data possible.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:- Manage day-to-day operations of data service, realtime/batch data pipelines, such as Service Level Agreement management, pipeline deployment, performance tuning and troubleshooting
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- Proactively monitor and troubleshoot data pipelines and systems for performance issues, errors, or anomalies
- Create tools, build alarms and dashboards, drive internal process improvements, and automation to monitor and improve data engineering operations
- Improve systems reliability, efficiency, and velocity through scaling, optimization of both resources and data processing workflows, potentially refactoring code or implementing new solutions
- Develop and deploy new reliable and scalable data pipelines and infrastructure components as required by business needs
- Work closely with data engineering and various vertical teams within the Video Architecture platform
Qualifications
Minimum Qualifications
- Bachelor's in Computer Science or a related technical background involving software/system engineering, or equivalent working experience
- Good programming experience with SQL and at least one of the following languages: Java, Python, Go, or Scala
- Experience in data engineering, with a focus on data systems reliability, scalability, performance and capacity management
- Solid experience with big data technologies (e.g., Hadoop, Spark, Flink, YARN) and databases (SQL, NoSQL)
- Knowledge of data pipeline and workflow management tools (e.g., Airflow, Luigi)
- Experience in building data solutions with AWS, Google, Azure and other cloud services is a plus
Preferred Qualifications
- Demonstrated independent thinking capabilities and troubleshooting skills in large scale distributed systems
- Good communication and coordination skills
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $118657 - $250000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.