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Weekend Data Engineering Jobs in Bakersfield, CA

Sr. Maintenance Scheduler

Bakersfield, CA

$61K - $74K/yr

... data analysis, including schedule adherence, downtime trends, and resource utilization. * Weekend ... Partner closely with Production, Procurement, Quality Assurance, Engineering, and Materials ...

Sr. Maintenance Scheduler

Bakersfield, CA ยท On-site

$61K - $74K/yr

... data analysis, including schedule adherence, downtime trends, and resource utilization. * Weekend ... Partner closely with Production, Procurement, Quality Assurance, Engineering, and Materials ...

Sr. Maintenance Scheduler

Bakersfield, CA ยท On-site

$61K - $74K/yr

... data analysis, including schedule adherence, downtime trends, and resource utilization. * Weekend ... Partner closely with Production, Procurement, Quality Assurance, Engineering, and Materials ...

Media Sales Executive

Bakersfield, CA

$76K - $91K/yr

This role sits at the center of client relationships, AGM internal programming teams, and external ... Collaborate with internal teams (strategy, planning, creative, data, and activation) to develop ...

Media Sales Executive

Bakersfield, CA ยท On-site

$76K - $91K/yr

This role sits at the center of client relationships, AGM internal programming teams, and external ... Collaborate with internal teams (strategy, planning, creative, data, and activation) to develop ...

... programming and repairs * Must have intermediate computer literacy, including Microsoft Word and Excel, and accurate data entry skills General * This position requires driving throughout Kern County

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Weekend Data Engineering information

See Bakersfield, CA salary details

$46K

$134.2K

$183.6K

How much do weekend data engineering jobs pay per year?

As of Aug 24, 2026, the average yearly pay for weekend data engineering in Bakersfield, CA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,200.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Bakersfield, CA?

The most popular types of Data Engineering jobs in Bakersfield, CA are:

What cities near Bakersfield, CA are hiring for Weekend Data Engineering jobs?

Cities near Bakersfield, CA with the most Weekend Data Engineering job openings:

Software Engineer, Data Infrastructure & Acquisition - Bakersfield, CA, USA

Speechify

Bakersfield, CA โ€ข On-site

$118K - $142K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.