44 Data Engineer Jobs in Los Angeles, CA
INSTRIDE is Hiring a Remote Data Engineer
What we're looking for:
Join our dynamic team as a talented engineer tasked with maintaining and expanding our data warehouse to meet the diverse needs of both internal and external stakeholders. Reporting directly to the Manager of Engineering, this pivotal role collaborates closely with a diverse team of on-site and off-site software engineers to bring our data roadmap to fruition. As a Data Engineer, you'll play a crucial role in upholding our commitment to excellence by leveraging your engineering prowess to maintain and expand our data infrastructure.
How you will create impact:
- Ensure use of engineering “best practices” for development, security, accessibility, compliance, performance, etc.
- Design, develop, and maintain scalable systems, data pipelines, architectures.
- Develop data processing algorithms and analytics in Python, leveraging libraries like Pandas, NumPy, and Matplotlib.
- Write well-designed, testable, and efficient code.
- Protect operations by keeping information and data confidential.
- Collaborate with cross-functional teams to identify and solve data-related technical challenges.
- Integrate and contribute to the development of REST APIs to facilitate data exchange and service communication.
- Contribute to the development and implementation of machine learning models, including data preparation, feature engineering, and model evaluation.
- Develop, optimize, and maintain databases, with proficiency in both SQL and NoSQL databases
- Ensure data integrity and system performance through rigorous testing and validation.
Who you are:
- 5 years of professional experience in software development with familiarity in data engineering or data science. Relevant experience will be accepted in lieu of a Computer Science or related degree.
- 5 years experience collaborating with and working in cross functional teams including product, user experience, project management, etc.
- 2 years leading or mentoring other developers on the team
- Expertise in Python, specifically with libraries like Pandas, NumPy, and Matplotlib.
- Experience in developing and consuming REST APIs.
- Strong knowledge of SQL and experience with NoSQL databases, specifically MongoDB.
- Proven ability to design and optimize data models and database schemas.
- Familiarity with machine learning concepts and tools.
Desirable Skills:
- Experience with cloud platforms (AWS, GCP, Azure) and their data services.
- Experience with structured ETL frameworks like Apache Airflow, or related technologies such as AWS Glue/ AWS lambda step functions.
- Experience with cloud-based data warehousing solutions like Snowflake and data engineering platforms like Databricks
- Knowledge of data streaming technologies like Kafka, AWS Kinesis, or RabbitMQ.
- Experience with data visualization and business intelligence tools.
- 5 years full stack development experience with back end technologies.
Job Summary
Full Time
$127k-157k (estimate)
02/22/2024
06/22/2024
instride.com
Los Angeles, CA
<25
Related Companies
The job skills required for Data Engineer include SQL, Python, Data Engineering, AWS, Data Warehouse, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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.
Similar Jobs
Popular Articles
