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Srp Data Engineer Jobs (NOW HIRING)

SRP Systems Inc

Senior Python Developer

Princeton, NJ

$127K - $171K/yr

Company Description We are SRP System Inc., a Big Data startup company. We work on exciting ... Senior Python & SQL Developer: We need someone that carries strong experience in writing Python ...

SRP Systems Inc

Senior Python Developer

Princeton, NJ · On-site

$127K - $171K/yr

Company Description We are SRP System Inc., a Big Data startup company. We work on exciting ... Senior Python & SQL Developer: We need someone that carries strong experience in writing Python ...

Amat

Process Engineer IV - SRP

Santa Clara, CA · On-site

$147K - $202K/yr

You will collect and analyze data, perform hardware characterization, and troubleshoot engineering issues. You'll also measure film properties, generate technical documentation, and engage with ...

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Srp Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do srp data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for srp data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Srp data engineer?

Srp Data Engineers are specialized professionals who design, build, and maintain data architectures and pipelines, often within the context of SRP (Salt River Project) or similar organizations. They are responsible for ensuring that large volumes of data are collected, processed, and made accessible for analytics and business intelligence. Their role often includes working with big data technologies, managing databases, and optimizing data workflows to support organizational needs. Srp Data Engineers collaborate with data scientists, analysts, and IT teams to deliver reliable and efficient data solutions. This position typically requires strong programming skills, experience with cloud platforms, and an understanding of data modeling and ETL processes.

What are some common challenges faced by Srp data engineers when working with large-scale data pipelines?

SRP Data Engineers often encounter challenges such as ensuring data quality and consistency across multiple sources, optimizing pipeline performance for high-volume data, and managing evolving data schemas. Balancing scalability with cost-effectiveness can also be demanding, especially when dealing with real-time processing requirements. Collaborating closely with data scientists, analysts, and other engineering teams is essential to address these challenges and deliver reliable data solutions.

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

To thrive as a Srp Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Experience with big data tools like Hadoop, Spark, and ETL frameworks, as well as cloud platforms (e.g., AWS, Azure), and relevant certifications are highly valuable. Problem-solving, collaboration, and effective communication are essential soft skills for designing solutions and working with cross-functional teams. These skills ensure robust data infrastructure, reliable data pipelines, and successful support of business analytics and decision-making.

What is the difference between Srp Data Engineer vs Data Engineer?

AspectSrp Data EngineerData Engineer
Required CredentialsBachelor's in CS or related field, experience with data pipelinesBachelor's in CS or related field, experience with data pipelines
Work EnvironmentTech companies, data-driven organizationsTech companies, data-driven organizations
Employer & Industry UsageUsed in organizations focusing on data processing and analyticsUsed across various industries for data management

Both Srp Data Engineers and Data Engineers typically require similar educational backgrounds and work in comparable environments. The 'Srp' designation often indicates a specialized or senior-level role within data engineering, emphasizing advanced skills or specific project responsibilities. Understanding these nuances helps in aligning job expectations and career planning.

Are data engineers in high demand?

Data engineers are in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek skilled professionals with expertise in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making it a strong career choice with competitive job opportunities.

What are popular job titles related to Srp Data Engineer jobs?

For Srp Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Srp Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Experienced Big Data and Hadoop Trainer

Princeton, NJ • On-site

SRP Systems Inc
Software Development • 11 - 50 employees
Learn more about SRP Systems Incexternal

Contractor

Re-posted 2 days ago

Job description

Company Description
SRP is a Big Data startup company located in Princeton, New Jersey.
Job Description
We are looking to hire a part-time trainer in Big Data and Hadoop that can train our students in the evenings or weekends.
Qualifications:
* 3+ years of experience in Hadoop, Map/Reduce, Hive, Pig
* Strong experience in one of the Hadoop distributions such Cloudera or Hortonworks
* Experience in Spark
* Experience in handling large data sets on AWS or similar
Past experience in training students in a classroom settings is helpful although mandatory. Send us your resume immediately if interested.
Qualifications
Additional Information
This is a one time contracting project

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