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Flexible Data Coding Jobs in California (NOW HIRING)

Sr Data Engineer - Databricks

Irvine, CA · On-site

$123K - $147K/yr

Work to a high engineering standard using Git, CI/CD, testing, code reviews, and clear ... A flexible, dynamic, and diverse workplace EQUAL OPPORTUNITY EMPLOYER In our commitment to promote ...

Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL ... equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental ...

New

Data Engineer

Irvine, CA · On-site

$34.47 - $38.46/hr

Participate in code reviews * Document database design, architecture, and processes * Implement and ... Flexible working in a variety of IDEs such as visual studio, snowflake, and others * Exposure to ...

Data Engineer

Irvine, CA · On-site

$34.47 - $38.46/hr

Participate in code reviews * Document database design, architecture, and processes * Implement and ... Flexible working in a variety of IDEs such as visual studio, snowflake, and others * Exposure to ...

Software Engineer, Data

San Francisco, CA · On-site

$196K - $278K/yr

... flexible tools without writing code. With our shift to an AI-native platform, customers can now ... Data engineering plays a critical role in this evolution by delivering the insights our teams rely ...

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

Develop high-quality, modular Python code for model training and experimentation using libraries ... Flexible schedules and work/life balance. * Opportunities for growth at every level - we are ...

Data Scientist

Irvine, CA

$100K - $130K/yr

Develop high-quality, modular Python code for model training and experimentation using libraries ... Flexible schedules and work/life balance. * Opportunities for growth at every level - we are ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

... code. * Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet ... These are fully onsite roles based in our Irvine office, with flexible hours to support work-life ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

... code. * Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet ... These are fully onsite roles based in our Irvine office, with flexible hours to support work-life ...

Data Solutions Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

... code data integration and automation • Version control and CI/CD practices for data workflows ... Proactive and showing initiative, flexible, and willing to take on new and challenging tasks.

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

... code. * Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet ... These are fully onsite roles based in our Irvine office, with flexible hours to support work-life ...

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

Showing results 41-60

Flexible Data Coding information

What are some common challenges faced in a flexible data coding role, and how can they be managed?

In a Flexible Data Coding role, professionals often encounter challenges such as handling large volumes of unstructured data, ensuring consistency in data labeling, and adapting quickly to changing project requirements. Effective communication with team members and clear documentation of coding protocols can help maintain accuracy and efficiency. Utilizing automated tools where appropriate and staying updated on coding standards also greatly assists in overcoming these challenges and delivering high-quality results.

What is flexible data coding?

Flexible data coding jobs involve categorizing, labeling, or organizing data according to specific guidelines, often for use in research, machine learning, or business analytics. These roles are typically remote or offer flexible hours, allowing workers to complete tasks on their own schedule. The work may include tagging images, transcribing audio, classifying text, or entering information into databases. Flexible data coding jobs are popular for those seeking part-time or remote work and often require attention to detail and basic computer skills.

What is the difference between Flexible Data Coding vs Data Analyst?

AspectFlexible Data CodingData Analyst
Required CredentialsBasic coding skills, possibly certifications in data managementDegree in statistics, data science, or related field; often certifications in analytics tools
Work EnvironmentData entry, coding, and database management in various industriesData analysis, reporting, and visualization in corporate or research settings
Employer & Industry UsageUsed across industries for data organization and coding tasksCommonly employed in finance, marketing, healthcare, and tech sectors

Flexible Data Coding focuses on coding and organizing data efficiently, often with basic programming skills. Data Analysts interpret and analyze data to inform business decisions, requiring more advanced analytical skills. While both roles work with data, their core functions and skill requirements differ significantly.

What are the key skills and qualifications needed to thrive as a flexible data coder, and why are they important?

To excel as a Flexible Data Coder, you need strong analytical skills, attention to detail, and a solid understanding of data management or coding systems, often supported by a degree in computer science, information systems, or a related field. Familiarity with coding languages (such as SQL, Python, or R), data entry platforms, and data quality assurance tools is typically required. Strong problem-solving abilities, adaptability, and effective communication help professionals address data discrepancies and collaborate with diverse teams. These skills and qualities ensure accurate data processing, maintain data integrity, and support efficient decision-making within organizations.
What are the most commonly searched types of Data Coding jobs in California? The most popular types of Data Coding jobs in California are:
What cities in California are hiring for Flexible Data Coding jobs? Cities in California with the most Flexible Data Coding job openings:

Sr Data Engineer - Databricks

Adastra Corporation

Irvine, CA • On-site

$123K - $147K/yr

Other

Posted 4 days ago


Job description

Overview
Adastra is looking for a hands-on Data Engineer to join our team supporting a modern enterprise data platform. You'll design and run Databricks pipelines that turn raw operational, marketing, and retail data into trusted, analytics-ready data products the business relies on every day.
Working as an embedded member of the data team, you'll own pipelines end to end on the Databricks Lakehouse Platform. If you love clean data, well-tuned Spark jobs, and shipping solutions that people actually use, this role is for you.
Primary Location: Across Canada or USA
Work Model: Hybrid 2-Days Onsite
Employment Type: Full-Time or Contractor
Vacancy Status: New
RESPONSIBILITIES
  • Design, build, and maintain scalable batch and streaming pipelines on Databricks using PySpark and Spark SQL within a medallion (Bronze/Silver/Gold) architecture
  • Ingest and unify data from operational databases, cloud storage, APIs, and marketing platforms such as Braze
  • Model and optimize Delta Lake tables for performance, reliability, and cost efficiency using techniques such as partitioning, liquid clustering, OPTIMIZE, and VACUUM
  • Deliver analytics-ready data for reporting on sales, shipments, orders, and other key business metrics, supporting Power BI dashboards and downstream analytics
  • Orchestrate jobs using Databricks Workflows, managing dependencies, retries, alerting, and SLAs
  • Apply Unity Catalog for data governance, lineage, and access control
  • Work to a high engineering standard using Git, CI/CD, testing, code reviews, and clear documentation
  • Monitor pipeline health, troubleshoot issues, and tune Spark jobs and cluster configurations for speed and cost optimization
  • Partner with business and technical stakeholders to deliver reliable, high-quality data products

QUALIFICATIONS, SKILLS & EXPERIENCE
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field
  • 5+ years of data engineering experience building and operating production data pipelines
  • Hands-on expertise with the Databricks Lakehouse Platform, including Delta Lake, Databricks Workflows, and Unity Catalog
  • Advanced experience with PySpark and Spark SQL
  • Strong SQL development and performance tuning skills
  • Solid Python development skills and experience with modern engineering practices
  • Experience using Git, CI/CD pipelines, testing frameworks, and code review processes
  • Experience working with AWS, Azure, or GCP and their core compute and storage services
  • Strong understanding of data modeling concepts, including dimensional and medallion architectures
  • Experience designing ELT/ETL solutions and integrating data from databases, APIs, files, and event streams
  • Strong communication skills and the ability to work independently within a client-facing environment

NICE TO HAVE
  • Databricks Certified Data Engineer Associate or Professional certification
  • Experience with Structured Streaming, Auto Loader, Kafka, or Kinesis
  • Experience working with marketing or customer data platforms such as Braze
  • Retail, grocery, or consumer packaged goods (CPG) industry experience
  • Experience supporting Power BI reporting and self-service analytics initiatives

ABOUT ADASTRA
Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence-responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.
Trusted by some of the world's most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey-building future-ready capabilities and delivering measurable, lasting impact.
Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.
WHAT WE OFFER
  • Opportunity for advancement and career progression
  • Competitive compensation package
  • Comprehensive benefits plan
  • Successful referral program
  • The opportunity to work with one of Canada's 50 Best Managed Companies
  • Satisfaction of working for a reputable company
  • A flexible, dynamic, and diverse workplace

EQUAL OPPORTUNITY EMPLOYER
In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporation's implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.
AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.
There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from '@adastragrp.com' or '@talent.icims.com' are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.
Contact careers@adastragrp.com to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.