65 Data Engineer Jobs in Los Angeles, CA
CREXi is Hiring a Data Engineer Near Los Angeles, CA
What You'll Do
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL/NoSQL databases and data stores like MSSQL , Dynamodb.
- Building and optimizing 'big data' data pipelines, architectures and data sets using AWS cloud services and SnowFlake
- Design & support a multi-tenant SnowFlake data warehouse
- Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management using DBT and Airflow or similar tools.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores using Hadoop, Spark, Kafka, etc.
- Creating a strong test suite, alerting, monitoring and documentation for all the pipelines
- BS degree in Computer Science or relevant work experience
- 5 years of experience in developing data pipelines and databases
- Proficient in Python and SQL
- Experience with Data Engineering best practices including Test Automation, Quality Controls, Reconciliation, Documenting data flows, etc.
- Have thorough knowledge of data structures and algorithms
- Have experience working with customers to understand and capture requirements
- Experience building highly scalable and reliable data pipelines using technologies like Spark, Hive, Trino/Presto, Airflow, Kafka, and/or Flink.
- Experience with data stores like Snowflake, Postgres, Feast
- Experience with cloud service providers, including AWS, Azure, or Google
- Experience supporting multi-tenant data warehouses
- Familiarity with Analytical tools like Tableau
- Knowledge of data service and deployment frameworks, including Docker, and Kubernetes
- Experience with data compliance and governance tools like OneTrust or DataGrail
- Experience with the Kafka
Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Job Summary
Full Time
Retail
$128k-157k (estimate)
06/24/2024
07/27/2024
crexi.com
MARINA DEL REY, CA
100 - 200
2015
Private
JAIME TRIMBLE
$10M - $50M
Retail
Related Companies
About CREXi
Crexi is a real estate platform that enables users to buy, sell and lease commercial properties.
The job skills required for Data Engineer include SQL, Python, Data Engineering, AWS, Big Data, Data Warehouse, 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.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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.
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Oil changes are an essential component of preventative maintenance.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.
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