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Manager Sql Data Engineer Jobs in California (NOW HIRING)

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer collaborates with data analysts, data scientists, product managers, and business ... 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 ... management. • Solid understanding of Apache Arrow and columnar data processing concepts. • ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer collaborates with data analysts, data scientists, product managers, and business ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

Senior Data Engineer

Beverly Hills, CA

$122K - $166K/yr

Service management, done right. Runs the SQL data estate as a dependable service with clear ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

Senior Data Engineer

Beverly Hills, CA

$122K - $166K/yr

Service management, done right. Runs the SQL data estate as a dependable service with clear ... 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

Experience writing sof tware in programming languages, including Python, SQL, R, Javascript, or C ... Experience working with integrated groups comprised of customer success managers, infrastructure ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Experience writing software in programming languages, including Python, SQL, R, Javascript, or C ... Experience working with integrated groups comprised of customer success managers, infrastructure ...

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Experience writing software in programming languages, including Python, SQL, R, Javascript, or C ... Experience working with integrated groups comprised of customer success managers, infrastructure ...

Experience writing software in programming languages, including Python, SQL, R, Javascript, or C ... Experience working with integrated groups comprised of customer success managers, infrastructure ...

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

... optimization Manage version control and collaboration through GitHub, adhering to branching ... SQL, data modeling, and performance tuning Working proficiency with a SQL-based data transformation ...

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 +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 ...

Data Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

... optimization Manage version control and collaboration through GitHub, adhering to branching ... SQL, data modeling, and performance tuning Working proficiency with a SQL-based data transformation ...

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 ...

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 ...

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Manager Sql Data Engineer information

What does a Manager SQL Data Engineer do?

A Manager SQL Data Engineer oversees a team responsible for designing, developing, and maintaining SQL databases that store and organize large amounts of data. They manage data engineering projects, ensure best practices in data modeling and ETL processes, and work closely with other departments to understand data needs. In addition to technical responsibilities, they provide leadership, mentor junior engineers, and ensure data security and integrity across the organization. Their role is critical in making sure data systems are efficient, reliable, and scalable.

How does a Manager SQL Data Engineer typically collaborate with cross-functional teams within an organization?

A Manager SQL Data Engineer frequently works alongside data analysts, software engineers, business intelligence teams, and key business stakeholders to ensure data solutions align with organizational goals. This collaboration often involves gathering requirements, translating business needs into technical specifications, and overseeing the development and deployment of data pipelines and databases. The manager also facilitates communication between technical and non-technical team members, ensuring that data strategies are clearly understood and effectively implemented across departments.

What are the key skills and qualifications needed to thrive as a Manager SQL Data Engineer, and why are they important?

To thrive as a Manager SQL Data Engineer, you need deep expertise in SQL development, database architecture, data modeling, and leadership experience, usually supported by a degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), ETL tools, and certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Strong communication, problem-solving, and team management skills help you effectively lead data engineering teams and collaborate cross-functionally. These skills ensure robust data solutions, efficient team performance, and alignment of data systems with business objectives.
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 job categories do people searching Manager Sql Data Engineer jobs in California look for? The top searched job categories for Manager Sql Data Engineer jobs in California are:
What cities in California are hiring for Manager Sql Data Engineer jobs? Cities in California with the most Manager Sql Data Engineer job openings:

$116K - $140K/yr

Full-time

Posted 21 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.