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Remote Internship Data Engineering Jobs in California

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining ...

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining ...

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

You'll leverage cloud technologies, automation, and modern data engineering practices to transform ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote

AWS Data Engineering (Glue, Lambda, Step Functions) * Data Lake / ELT pipeline experience Education- Bachelors degree in Computer Science / IT or related field This is a remote position.

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K Experience ...

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K Experience ...

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Remote Internship Data Engineering information

What is the difference between Remote Internship Data Engineering vs Remote Internship Data Analyst?

AspectRemote Internship Data EngineeringRemote Internship Data Analyst
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, coding tasksData reporting, analysis, visualization
Industry UsageTech, finance, healthcareMarketing, retail, finance

Remote Internship Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring coding and technical skills. In contrast, Remote Internship Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles often share similar credentials but differ in daily tasks and technical depth, making them distinct yet related internship opportunities in data careers.

What are the most commonly searched types of Remote Data Engineering jobs in California? The most popular types of Remote Data Engineering jobs in California are:
What are popular job titles related to Remote Internship Data Engineering jobs in California? For Remote Internship Data Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Internship Data Engineering jobs in California look for? The top searched job categories for Remote Internship Data Engineering jobs in California are:
What cities in California are hiring for Remote Internship Data Engineering jobs? Cities in California with the most Remote Internship Data Engineering job openings:
Data Engineering Manager

Data Engineering Manager

Spokeo

Pasadena, CA • On-site, Remote

$172K - $206K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

About Spokeo:
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud.
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About this Opportunity
Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.
What you'll do:
  • Lead and manage data engineers to build data solutions for our business intelligence needs
  • Lead a cross-functional team in building a state-of-the-art data analytics platform
  • Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
  • Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
  • Define and manage SLA's for all data sets and reporting processes
  • Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
  • Document, automate, and enforce data quality, data integrity, and QA best practices

What you've done:
  • 7+ years of experience in Business Intelligence and Data Warehousing
  • 5+ years of experience with cloud solutions (AWS, Azure)
  • 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
  • 5+ years of experience with data pipelines orchestration tools like Airflow.
  • 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.
  • Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
  • Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.
  • Expertise in RDBMS, SQL, query optimization, and security
  • A Bachelor's degree in Computer Science, Information Management, or a related field
  • Attention to detail, excellent problem-solving ability, and strong communication skills

Working at Spokeo
Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:
  • annual bonus program
  • stock options
  • 401K matching
  • 100% medical/dental/vision coverage
  • unlimited PTO
  • mental health resources
  • paid home office equipment
  • fitness reimbursements
  • support paying for courses
  • and more

We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
#LI-Remote
Department Data Role Data Engineering Manager Locations Remote, United States Remote status Fully Remote Yearly salary $172,800 - $206,100