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Weekday Sql Data Engineer Jobs in California (NOW HIRING)

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

AWS Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... in SQL, data modeling, and dimensional modeling techniques. • Experience working with Apache ... Engineer or AWS Certified Solutions Architect. • Familiarity with Python, Spark, or other big ...

Senior Data Engineer

Beverly Hills, CA · On-site

$122K - $166K/yr

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

Senior Data Engineer

Beverly Hills, CA

$122K - $166K/yr

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

Senior Data Engineer

Beverly Hills, CA

$122K - $166K/yr

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience writing sof tware in programming languages, including Python, SQL, R, Javascript, or C+

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience writing software in programming languages, including Python, SQL, R, Javascript, or C+

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience writing software in programming languages, including Python, SQL, R, Javascript, or C+

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience writing software in programming languages, including Python, SQL, R, Javascript, or C+

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Experience writing sof tware in programming languages, including Python, SQL, or C++ * Experience with data visualization tools, including Power Bi, Tableau, or Qlik * Knowledge of relational and non ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Experience writing software in programming languages, including Python, SQL, or C++ * Experience with data visualization tools, including Power Bi, Tableau, or Qlik * Knowledge of relational and non ...

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Experience writing software in programming languages, including Python, SQL, or C++ * Experience with data visualization tools, including Power Bi, Tableau, or Qlik * Knowledge of relational and non ...

Experience writing software in programming languages, including Python, SQL, or C++ * Experience with data visualization tools, including Power Bi, Tableau, or Qlik * Knowledge of relational and non ...

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Knowledge of relational and non-relational database technologies, including SQL or GraphQL

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Knowledge of relational and non-relational database technologies, including SQL or GraphQL

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are looking for a Data Engineer to join our Enterprise Analytics & Data Engineering team - a ... SQL, data modeling, and performance tuning Working proficiency with a SQL-based data transformation ...

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

We are looking for a Data Engineer to join our Enterprise Analytics & Data Engineering team - a ... SQL, data modeling, and performance tuning Working proficiency with a SQL-based data transformation ...

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Weekday Sql Data Engineer information

What are the most commonly searched types of Sql Data Engineer jobs in California? The most popular types of Sql Data Engineer jobs in California are:
What cities in California are hiring for Weekday Sql Data Engineer jobs? Cities in California with the most Weekday Sql Data Engineer job openings:
Data Engineer

$116K - $140K/yr

Full-time

Posted 18 days ago


Job description

PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
  1. Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
  1. Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
  1. Create and maintain logical and physical data models following established data modeling standards and best practices.
  1. Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  1. Participate in technical discussions, solution design, and implementation activities across data engineering projects.
  1. Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
  1. Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
  1. Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  1. Ensure compliance with data security, governance, and regulatory requirements across cloud and on-premise data platforms.
  1. Communicate technical concepts, project status, and data-related issues effectively to team members and business stakeholders.

QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
  • 3-5 years of experience in data engineering or a related field required.
  • Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
  • Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
  • Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
  • Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
  • Strong programming skills in Python or another modern scripting language required.
  • Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.
  • Familiarity with data quality, data governance, and security best practices preferred.

KNOWLEDGE, SKILLS AND ABILITIES
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective verbal and written communication skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Proficiency in SQL, data analysis, and data transformation techniques.
  • Experience working with cloud-based data platforms and modern data engineering tools.
  • Knowledge of data modeling concepts, data warehousing principles, and ETL/ELT best practices.
  • Familiarity with data quality, data governance, and data security practices.
  • Proficient in building Power BI data models and developing dashboards and reports.
  • Ability to manage multiple priorities and work effectively in a fast-paced environment.

TYPICAL WORKING CONDITIONS
  • Full time remote/telework

OTHER PHYSICAL REQUIREMENTS
  • Vision
  • Sense of sound
  • Sense of touch

PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.