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Sql Python Data Engineer Jobs in Los Angeles, CA

YO AI Labs

Senior Data Engineer

Glendale, CA · On-site

$112K - $152K/yr

Python for data engineering and automation. * Advanced SQL (complex queries, optimization, performance tuning). * Snowflake (hands-on implementation and optimization). * Understanding of OLTP vs.

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Design, build, and maintain scalable ETL/ELT data pipelines using Python and PySpark. * Develop ... Optimize SQL queries and data models for analytical workloads. * Build CI/CD pipelines for ...

Judge Group, Inc.

Data Engineer III

Newport Beach, CA · On-site

$70 - $75/hr

... Python Minimum 2 year hands on ETL development experience using DBT Minimum 2 year hands on ... Expertise in SQL, complex query writing, query organization, optimization. Create unit/integration ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire ... Expert proficiency in Python and SQL. * Hands-on experience with experimentation platforms, uplift ...

The Habit Burger Grill

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

Experience with SSIS, SSRS, and SSAS is a plus * Knowledge of programming languages such as Python is a plus * Awareness of laws surrounding data and data privacy * Strong problem-solving skills and ...

Yum! Brands

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

Experience with SSIS, SSRS, and SSAS is a plus * Knowledge of programming languages such as Python is a plus * Awareness of laws surrounding data and data privacy * Strong problem-solving skills and ...

Yum Brands

Data Engineer

Irvine, CA · Hybrid

$34.47 - $38.46/hr

Experience with SSIS, SSRS, and SSAS is a plus * Knowledge of programming languages such as Python is a plus * Awareness of laws surrounding data and data privacy * Strong problem-solving skills and ...

Everytable

Data Engineer

Los Angeles, CA · On-site

$115K - $150K/yr

We're looking for a Data Engineer to help build and maintain reliable, observable data pipelines ... Strong proficiency in Python (or another scripting language) * Strong SQL , including advanced ...

New

In-N-Out Burgers, Inc.

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Advanced proficiency in SQL, PL/SQL, and Python; exposure to modern data engineering tools and distributed processing frameworks such as Spark. * Experience working with relational databases and ...

ALO

Lead Data Engineer

Beverly Hills, CA · On-site

$180K - $250K/yr

Data Engineering * dbt, SQL, Python * Batch and real-time pipelines * Medallion architecture * Analytics & Data Products * Tableau and ThoughtSpot * Semantic layers and KPI standardization

In-N-Out Burgers

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Advanced proficiency in SQL, PL/SQL, and Python; exposure to modern data engineering tools and distributed processing frameworks such as Spark. * Experience working with relational databases and ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Advanced proficiency in SQL, PL/SQL, and Python; exposure to modern data engineering tools and distributed processing frameworks such as Spark. * Experience working with relational databases and ...

S Linx LLC

Sr Data Engineer

Santa Monica, CA · On-site

$128K - $154K/yr

... Python , loading clean data into Snowflake. · Collaborate with cross-functional teams to ... relational databases , SQL, and data modeling concepts. · Strong problem-solving skills and ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within ... Integrate and automate business processes using SQL, Python, REST APIs, Power Automate, Power Apps ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$118K - $141K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within ... Integrate and automate business processes using SQL, Python, REST APIs, Power Automate, Power Apps ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job RoleThe Senior Data Analytics Engineer serves as a key technical and analytical partner within ... Integrate and automate business processes using SQL, Python, REST APIs, Power Automate, Power Apps ...

Eleven Recruiting

Data Engineer II

Long Beach, CA · On-site

$125K - $150K/yr

Eleven Recruiting is seeking a Data Engineer II for one of our largest aerospace manufacturing ... Python and SQL. • Experience with version control systems (Git). • Understanding of data ...

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Showing results 21-40

All JobsSql Python Data Engineer JobsSql Python Data Engineer Jobs in Los Angeles, CA

Sql Python Data Engineer information

See Los Angeles, CA salary details

$47.9K

$139.8K

$191.3K

How much do sql python data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for sql python data engineer in Los Angeles, CA is $139,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

What is the difference between Sql Python Data Engineer vs Data Analyst?

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

What cities near Los Angeles, CA are hiring for Sql Python Data Engineer jobs?

Cities near Los Angeles, CA with the most Sql Python Data Engineer job openings:

Sql Python Data Engineer jobs near you
Infographic showing various Sql Python Data Engineer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,771 per year, or $67.2 per hour.

Senior Data Engineer

Glendale, CA • On-site

YO AI Labs
See more jobs at YO AI Labsexternal

$112K - $152K/yr

Full-time

Re-posted 6 days ago

Job description

Job Description

  • Job title: Senior Data Engineer
  • Experience: 8-15 Years
  • Location: Glendale, USA
  • Job Type: Full-time


Must Haves:

  • 5+ years of Strong experience with Core Data Platform/Data Engineering.
  • Data Modeling (Dimensional Modeling, Normalization, OLTP vs. OLAP)
  • Python for data engineering and automation.
  • Advanced SQL (complex queries, optimization, performance tuning).
  • Snowflake (hands-on implementation and optimization).
  • Understanding of OLTP vs. OLAP architectures and data warehouse design

Qualifications:

  • 5+ years of data engineering experience developing data pipelines.
  • Strong understanding of data modeling principles, including Dimensional modeling and data normalization principles.
  • Proficiency in at least one major programming language (eg, Python).
  • Expert SQL skills and ability to create queries to analyze complex datasets.
  • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
  • Experience with Snowflake.
  • Strong algorithmic problem-solving expertise
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Advance understanding of OLTP vs OLAP environments


Key Responsibilities:

  • Create and maintain Data Platform pipelines.
  • Create Conceptual, Logical, and Physical data models.
  • Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem.
  • Collaborate with other data engineers, data scientists, and cross-functional teams.
  • Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs.
  • Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements.
  • Maintain detailed documentation of your work and changes to support data quality and data governance requirements.