444 Senior Data Engineer (Senior Engineer III) Jobs in Los Angeles, CA
Rockerbox is Hiring a Senior Data Engineer (Senior Engineer III) Near Los Angeles, CA
At Rockerbox, the Core Data team is pivotal, managing everything from live data collection and aggregation to data warehousing, including governance. As a Senior Data Engineer, you will play a crucial leadership role within our technical organization, focusing on optimizing data storage, access patterns for efficiency and safety, and guiding data warehouse strategies.
The ideal candidate will bring profound expertise in data warehouses like Redshift and Snowflake, alongside a solid grasp of alternative data storage solutions (e.g., data lakes, NoSQL databases). Your experience should also include crafting data pipelines and a hands-on familiarity with technologies for event processing, pub/sub models, and orchestration tools such as Airflow.
We seek a Senior Data Engineer passionate about contributing to a team-focused, dynamic environment, eager to influence our product's evolution as we expand our reach to thousands of customers.
Responsibilities:
- Take the lead in building scalable, resilient, well-monitored, and cost-efficient data pipelines utilizing a range of technologies
- Provide expert advice and guidance on data architecture, ensure quality and scalability through design and code reviews
- Serve as the organization’s resident expert on SQL; mentor other engineers on improving and optimizing their queries
- Provide expertise and leadership in the application of effective patterns in the data engineering codebase, bringing your extensive experience to bear
- Lead the application of effective monitoring and quality control measures, including automated testing and alerting, to ensure data integrity across all data products.
- As a tech lead, work with Product Managers and cross-functional teams to design data solutions meeting business requirements, detailed in clear technical specifications
- Identify and evaluate emerging technologies, tools, and trends to improve efficiency and effectiveness in data engineering processes.
- 10 years of experience as a data engineer, working with data warehouses, pipelines and cloud technologies (ideally AWS)
- Proficient in data modeling and architecture for distributed data warehouses and cloud solutions, with deep knowledge of the trade-offs between data warehouses, databases, and data lakes to guide informed decisions on when to use each
- Skilled in crafting modern data pipelines, both real-time and batch, with tight SLOs and complex transformations, utilizing messaging, serverless, and streaming tech
- Expert-level SQL; experience with other database paradigms (key-value stores, graph databases) is a plus
- Expert-level python; comfort working with version control and CI/CD is required; significant exposure to other languages is a plus
- Experience mentoring engineers, especially on data warehousing, pipelines, and related technology architectures, with a proven ability to simplify complex topics in both written and verbal communication
- Strong comfort level with technical project leadership and the communication skills to bring stakeholders together around a project plan and architecture, demonstrated by successful large-scale projects spanning multiple teams
- Product mindset to embrace business needs and produce scalable data/engineering solutions
Compensation And Benefits
- Salary range between $175,000 - $195,000, depending on level as determined through the interview process; Equity options
- Remote-first - work anywhere in the US
- Health, vision, and dental insurance
- Unlimited PTO
- 10 Paid Holidays
- Rockerbox Unplugged - we shut down the last week of the year
- 12 weeks Parental Leave for all parents of a new child
- Traditional and ROTH 401k options
- $1000 annual training stipend
- Rockertreat! Annual company get-together
Please note that we are not able to accommodate C2C candidates for this role.
Job Summary
Full Time
$121k-151k (estimate)
09/09/2024
10/06/2024
rockerbox.com
New York, NY
50 - 100
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The job skills required for Senior Data Engineer (Senior Engineer III) include Data Engineering, AWS, Data Warehouse, Data Warehousing, Data Lakes, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer (Senior Engineer III). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer (Senior Engineer III). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer (Senior Engineer III) positions, which can be used as a reference in future career path planning. As a Senior Data Engineer (Senior Engineer III), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer (Senior Engineer III). You can explore the career advancement for a Senior Data Engineer (Senior Engineer III) below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
01/05/2022: Melbourne, FL
Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.
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