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Srp Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Frisco, TX ยท On-site

$107K - $128K/yr

... SRP, and OOP (Preferred) Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred) How You Work Systems thinker: you consider how data, tools, processes, and ...

Senior Optimization Engineer

Princeton, NJ ยท On-site

$109K - $150K/yr

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Senior Optimization Engineer ...

Senior Optimization Engineer

Princeton, NJ ยท On-site

$109K - $150K/yr

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Senior Optimization Engineer ...

Big Data Trainer

Princeton, NJ ยท On-site

$55.50 - $72/hr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking to hire a part-time ...

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... engineering, anomaly handling, model development, model tune-ups, metric development to evaluate ...

Big Data Trainer

Princeton, NJ ยท On-site

$55.50 - $72/hr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking to hire a part-time ...

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... engineering, anomaly handling, model development, model tune-ups, metric development to evaluate ...

Senior Python/Spark developer

Princeton, NJ ยท On-site

$127K - $171K/yr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Title: Senior Python developer Location:

Senior Python/Spark developer

Princeton, NJ ยท On-site

$127K - $171K/yr

Company Description SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Title: Senior Python developer Location:

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a Senior Python/Django developer to start working with us immediately.

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a Senior Python/Django developer to start working with us immediately.

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Srp Data Engineer information

See salary details

$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.

Azure Data Engineer

Frisco, TX โ€ข On-site

Spar Information Systems
IT Servicesย โ€ขย 201 - 500 employees

$107K - $128K/yr

Other

Re-posted 19 days ago


Job description

Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.

Role: Data Engineer

Location: Bellevue, WA/ Frisco, TX Hybrid work role

Duration: Long term contract

ABOUT THE ROLE
Our team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro.
We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.
WHAT YOU'LL DO
Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale
Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting
Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture
Engage business teams to understand their problem space and coordinate technical changes end-to-end
Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes
Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast
Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability
Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead
WHAT WE'RE LOOKING FOR
Experience
2-4 years of data engineering experience
Experience designing & building data pipelines and data lakes in a cloud environment
Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
Comfortable flexing into an analytical or systems analyst role when the work requires it - this team supports the business, not just the pipeline
Experience managing stakeholder expectations across technical & business teams
Technical Skills
Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)
Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)
How You Work
Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem
Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you
Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
Bias toward simplicity: you ask whether complexity is necessary before adding it
EDUCATION
Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent
Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent

Thanks & Regards,

Pavan Raikhelkar

LEAD TALENT ACQUISITION SPECIALIST

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