40 Data Engineer Jobs in Los Angeles, CA
Avispa Technology is Hiring a Data Engineer Near Los Angeles, CA
Data Engineer VIAJP00000868
A leading digital streaming network is seeking a Data Engineer. The successful candidate will be expected to lead a project from inception to completion as well as help mentor junior members of the team on best practices and approaches around data. The ideal candidate has good communication skills and possesses the ability to convey knowledge of data structures and tools. The company offers a great work environment!
Data Engineer Pay and Benefits:
- Hourly pay: $80-$90/hr (Pay varies based on candidate's location and experience)
- Worksite: Leading digital streaming network. (Remote, Candidates must be located in the United States)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
- 40 hours/week, 12 Month Assignment
- Work with large volumes of traffic data and user behaviors to build pipelines that enhance raw data.
- Able to break down and communicate highly complex data problems into simple, feasible solutions.
- Extract patterns from large datasets and transform data into an informational advantage.
- Find answers to business questions via hands-on exploration of data sets via Jupyter, SQL, dashboards, statistical analysis, and data visualizations.
- Partner with the internal product and business intelligence teams to determine the best approach around data ingestion, structure, and storage. Then, work with the team to ensure these are implemented correctly.
- Contribute ideas on how to make our data more effective and working with other members of the engineering, BI teams, and business units to implement changes.
- Ongoing development of technical solutions while developing and maintaining documentation, at times training impacted teams.
- Early on collaborate with the team on internal initiatives to create strategies that improve company processes.
- Look at ways of improving efficiency by staying current on the latest technology and trends and introducing team members to such.
- Develop prototypes to proof out strategies for data pipelines and products.
- Mentor members of the team and department on best practices and approaches.
- Lead initiatives in ways to improve the quality of our data as well as make the data more effective, with other members of engineering, BI teams, and business units to implement changes.
- Able to break down and communicate highly complex data problems into simple, feasible solutions.
- Bachelor's degree and 5 years of work experience in Data Engineering and Analytics fields or consulting roles with a focus on digital analytics implementations.
- Experience with large scale data warehouse management systems such as BigQuery for 3 years with advanced level understanding of warehouse cost management and query optimization
- Proficient in Python.
- Experience developing solutions to business requirements via hands-on discovery and exploration of data.
- Experience with Apache Airflow or equivalent tools for orchestration of pipelines.
- Experience with ETL & ELT.
- Experience building and deploying applications on the GCP cloud platform.
- Experience with Snowflake, Redshift and other AWS technologies preferred.
- Experience with Docker and container deployment preferred.
- Experience with Data Modeling of performant table structures preferred.
- Experience with Marketing tools like Kochava, Braze, Branch, and Salesforce Marketing Cloud is a plus preferred.
- Experience with exploratory data analysis using tools like iPython Notebook, Pandas & Matplotlib, etc. preferred.
- Able to write SQL to perform common types of analysis and transformations.
- Strong problem-solving and creative-thinking skills.
- Demonstrated development of ongoing technical solutions while developing and maintaining documentation, at times training impacted teams.
- Exceptional written and verbal communication skills, including the ability to communicate technical concepts to non-technical audiences, as well as translating business requirements into Data Solutions
- Builds strong commitment within the team to support the appropriate team priorities
- Stays current with new and evolving technologies via formal training and self-directed education
- Familiarity in Hadoop pipelines using Spark, Kafka preferred.
- Familiar with GIT preferred.
- Familiar with Adobe Analytics (Omniture) or Google Analytics preferred.
- Digital marketing strategy including site, video, social media, SEM, SEO, and display advertising preferred.
Job Summary
Full Time
$114k-141k (estimate)
04/15/2024
04/28/2024
avispatechnology.com
San Carlos, CA
<25
Related Companies
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, 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 Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a 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 Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
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 Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
01/22/2022: Fort Wayne, IN
Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
02/10/2022: Winston Salem, NC
Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.
