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Internship Python Sql Developer Jobs in Las Vegas, NV

IGT

Data Engineer II

Las Vegas, NV · On-site

$110K - $132K/yr

Strong SQL development skills. * Strong Python programming experience. * Experience building data ... pipelines using Apache Spark and Databricks (or similar distributed data processing platforms)

Progressive Gaming

Data Engineer II

Las Vegas, NV · On-site

$110K - $132K/yr

Strong SQL development skills. * Strong Python programming experience. * Experience building data ... pipelines using Apache Spark and Databricks (or similar distributed data processing platforms)

VIATRON SYSTEMS INC

Be Seen First

JR IT TECHNICIAN

Las Vegas, NV · On-site

$60K - $70K/yr

SQL knowledge (queries, data validation, reporting) for Quality Control. * Python experience ... Programming languages * AI (api's, tokens, etc...) * 2-factor implementation/configuration/etc.

VIATRON SYSTEMS INC

Be Seen First

JR IT TECHNICIAN

Las Vegas, NV · On-site

$60K - $70K/yr

SQL knowledge (queries, data validation, reporting) for Quality Control. * Python experience ... Programming languages * AI (api's, tokens, etc...) * 2-factor implementation/configuration/etc.

Pwc

GenAI Python Systems Engineer-Manager

Las Vegas, NV · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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How much do internship python sql developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for internship python sql developer in Las Vegas, NV is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What does an Internship Python SQL Developer do?

An Internship Python SQL Developer is typically responsible for assisting with the design, development, and maintenance of applications that use Python programming and SQL databases. Interns in this role often help write and optimize queries, automate data processing tasks, and support software development teams in building data-driven solutions. They also learn best practices in coding, database management, and may participate in troubleshooting or debugging issues under the guidance of senior developers. The internship provides hands-on experience with real-world projects, helping interns build their technical skills and prepare for a career in software development.

What types of projects and tasks can I expect as an Internship Python SQL Developer?

As an Internship Python SQL Developer, you'll typically work on real-world projects that involve writing and optimizing SQL queries, developing Python scripts to automate data processing, and supporting database management tasks. You may assist with data extraction, transformation, and loading (ETL) processes, help troubleshoot data issues, and collaborate closely with senior developers and data analysts. This hands-on experience allows you to gain a deeper understanding of database structures and software development workflows, while also enhancing your problem-solving skills in a professional environment.

What are the key skills and qualifications needed to thrive as an Internship Python SQL Developer, and why are they important?

To thrive as an Internship Python SQL Developer, you need a foundational knowledge of Python programming, SQL databases, and basic software development concepts, usually evidenced by coursework or relevant projects. Familiarity with tools like MySQL, PostgreSQL, version control systems such as Git, and possibly cloud platforms is highly beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly will help you stand out. These skills and qualities are crucial for efficiently building, maintaining, and optimizing database-driven applications in a collaborative tech environment.

What is the difference between Internship Python Sql Developer vs Python Sql Developer?

AspectInternship Python Sql DeveloperPython Sql Developer
QualificationsEnrolled in or recent graduate of relevant programBachelor's degree in Computer Science or related field, certifications preferred
Work EnvironmentInternship, supervised, entry-level projectsFull-time, professional projects, collaborative teams
ResponsibilitiesAssisting with data queries, learning SQL and Python basicsDeveloping and maintaining SQL databases, scripting in Python, data analysis

In summary, an Internship Python Sql Developer is an entry-level position aimed at learning and gaining experience, while a Python Sql Developer is a full-time professional role with more responsibilities and expectations. Internships serve as a stepping stone toward becoming a full developer.

What are the most commonly searched types of Python Sql Developer jobs in Las Vegas, NV?

The most popular types of Python Sql Developer jobs in Las Vegas, NV are:

Internship Python Sql Developer jobs near you

Striim Developer

Las Vegas, NV • On-site

Cognizant Technology Solutions

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

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Learn more about Cognizant Technology Solutionsexternal

$48 - $66.25/hr

Full-time

Posted 6 days ago

Job description

Job Title - Striim Developer
Remote
Job Summary
Serve as a senior architect responsible for designing and evolving data quality and governance solutions using Striim platforms Python and RDBMS technologies in a hybrid work model. Apply deep expertise in data integration TQL and PL SQL to build scalable architectures that improve data reliability compliance and business decision making across the enterprise while collaborating with cross functional teams.
Responsibilities
  • Design robust data architecture blueprints that integrate Striim data quality Striim data governance and Striim data integration capabilities to deliver highly reliable and compliant enterprise data flows that support critical analytical and operational workloads across the organization
  • Lead the end to end definition of data quality frameworks using DQG architect patterns and Striim data quality modules to enforce standardized validation rules anomaly detection processes and consistent remediation workflows across diverse data domains
  • Oversee the translation of complex business requirements into scalable technical solutions using Python and PL SQL so that data pipelines transformations and validations are implemented in a maintainable and performance optimized manner
  • Provide technical guidance on the use of TQL for streaming data processing and rule configuration to enable near real time monitoring of data quality indicators and proactive resolution of issues before they impact downstream consumers
  • Drive optimization of RDBMS and SQL based data stores by reviewing schema designs indexing strategies and query structures to ensure that data quality checks and integration workloads run efficiently and support future growth in data volume and complexity
  • Collaborate closely with product owners data stewards and engineering teams to prioritize data quality and governance initiatives that directly enhance business reporting accuracy regulatory adherence and stakeholder trust in shared information assets
  • Implement reusable patterns and reference solutions for hybrid work teams that standardize how Python scripts PL SQL procedures and Striim components are orchestrated versioned and monitored to maintain consistency across different projects and regions
  • Guide end users and technical teams on best practices for data profiling metadata management and lineage capture within Striim platforms so that the organization gains transparent visibility into the origin transformation and usage of critical data sets
  • Coordinate structured reviews of data integration pipelines to identify sources of data drift incomplete records or inconsistent transformations and then define targeted remediation steps that improve overall data reliability and reduce operational rework
  • Develop detailed documentation and architectural diagrams that describe current and target state data landscapes highlighting how data governance controls and quality checks are embedded in each integration layer to meet internal and external requirements
  • Partner with security and compliance stakeholders to align data governance configurations access policies and retention rules with corporate standards ensuring that sensitive data is handled responsibly and supports broader societal expectations for privacy
  • Mentor team members in applying sound architectural judgment when building Python based utilities PL SQL routines and Striim flows so that solutions remain resilient testable and adaptable to evolving business strategies and technology platforms
  • Analyze production incidents related to data integrity or pipeline failures by tracing issues across Python code PL SQL logic and Striim configurations and then propose targeted improvements that prevent recurrence and strengthen system robustness

Qualifications
  • Demonstrate extensive professional experience in architecting and delivering enterprise data solutions using DQG architect concepts Striim data quality tooling and Striim data governance features over a sustained career spanning approximately twelve to fifteen years
  • Bring advanced proficiency in Python programming applied to data engineering tasks including scripting of validation routines automation of monitoring activities and development of reusable libraries for integration and transformation workflows
  • Apply strong command of PL SQL and core RDBMS concepts to design stable schemas implement complex stored procedures and ensure that database changes are executed safely and support high quality transactional and analytical data operations
  • Utilize deep experience with Striim data integration to configure connectors set up streaming flows tune performance parameters and orchestrate data movement across heterogeneous systems in support of real time and batch consumption needs
  • Exhibit solid understanding of SQL and related basics to craft clear efficient and well structured queries for data exploration quality assessment and diagnostics across multiple environments and deployment models
  • Operate effectively in a hybrid work arrangement by communicating clearly through collaborative tools managing time and priorities with minimal supervision and coordinating seamlessly with distributed colleagues during day shift schedules

Certifications Required
Recommended certifications include Striim data platform certification and a recognized database or data engineering certification such as a major cloud data engineer credential
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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