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Data Engineer Python Jobs in California (NOW HIRING)

Data Engineer

San Bruno, CA · On-site

$136K - $164K/yr

Looking for a Data Engineer who is well versed with Hive, Spark, Python and Airflow. Skills * Designs, develops, and implements Hadoop eco-system based applications to support business requirements.

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

You'll lead data engineering initiatives, ensure governance and compliance, optimize performance ... Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and ...

Data Engineer.

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer. Location: Sunnyvale, CA. Duration: Long Term Contract. Direct Client: Req. Key ... Experience with Java, Scala, and Python. * Experience with cloud computing platforms like AWS, and ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Data Engineering, such as Python, Scala, or Java • Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3) • ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer SFO, CA * Strong experience with Python (PySpark) and Apache Spark * Hands-on experience with Apache Airflow for orchestration * Solid understanding of distributed systems and data ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Data Engineer

Thousand Oaks, CA · On-site

$120K - $144K/yr

Position: Data Engineer Location: Thousand Oaks, CA (Remote Position Till Covid) Duration: 11 + Months Proven proficiency with scripting languages such as Python, Ruby, and JavaScript, and build ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... backend APIs (Python/FastAPI) to expose AI-powered capabilities • Ensure observability ... in data engineering and AI-powered logistics systems Qualifications : Required : • Bachelor ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Strong proficiency in programming languages such as Python, Scala, Java, or SQL. * Experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, etc. * Solid understanding of ...

Data Engineer

Thousand Oaks, CA · On-site

$120K - $144K/yr

Position: Data Engineer Location: Thousand Oaks, CA (Remote Position Till Covid) Duration: 11 + Months Proven proficiency with scripting languages such as Python, Ruby, and JavaScript, and build ...

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

... Python, PySpark, Jupyter Notebook, database design, and ETL processes The ideal candidate will have proven experience on building modern data pipelines - Ingestion, Profiling, Integration ...

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

Data Engineer LOCATION:Carlsbad, CA Duration: 6 to 12+ months Rate: DOE Required: 1. Proficient ... Good in python, scala and java Designs, develops, and implements Hadoop eco-system based ...

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

Extensive experience in data engineering, data processing, and automation using Python. * Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and ...

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

We are looking for an experienced Python developer with a passion for Generative AI and hands-on ... Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Proper LinkedIn ID About the Role We are seeking Senior Data Engineers to join an experienced team ... Strong coding ability with Python for scripting and transformations * Experience with ETL tools or ...

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Data Engineer Python information

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What job categories do people searching Data Engineer Python jobs in California look for? The top searched job categories for Data Engineer Python jobs in California are:
Infographic showing various Data Engineer Python job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer

Data Engineer

Redolent, Inc

San Bruno, CA • On-site

$136K - $164K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description


One of our direct client is urgently looking for a Data Engineer @ San Bruno, CA
TITLE: Data Engineer
LOCATION:San Bruno, CA
Duration: 6 to 12+ Months
Rate: DOE

Note:
Looking for a Data Engineer who is well versed with Hive, Spark, Python and Airflow.
Skills

  • Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.
Experience/Skills Required:
1. Bachelors degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related
2. 3+ years of solid Java and 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase
3. Hands on experience with Unix, Teradata and other relational databases.
Experience with @Scale a plus.
4. Strong communication and problem-solving skills

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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