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Python Salary In Jobs in Utah (NOW HIRING)

Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or ... Develop scalable data analytics processes for validation in Databricks * Write custom Python logic ...

Solutions Engineer, Remote

Orem, UT ยท On-site

$120K - $140K/yr

Proficiency in SQL and Python is required; experience with additional programming languages or ... Salary is dependent on multiple factors including, but not limited to, experience and location.

Solutions Engineer, Remote

Ogden, UT ยท On-site

$120K - $140K/yr

Proficiency in SQL and Python is required; experience with additional programming languages or ... Salary is dependent on multiple factors including, but not limited to, experience and location.

Solutions Engineer, Remote

Logan, UT ยท On-site

$120K - $140K/yr

Proficiency in SQL and Python is required; experience with additional programming languages or ... Salary is dependent on multiple factors including, but not limited to, experience and location.

... in developing back-end applications including RESTful APIs using scripting language such as Python ... Base salary range: $90-108K annual salary + Benefits TelevisaUnivision is an equal opportunity ...

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Python Salary In information

Which Python jobs pay the most?

Senior Python developer roles, especially in finance, data science, and machine learning, tend to offer the highest salaries, often exceeding $120,000 annually. Specialized skills in frameworks like Django or Flask, along with experience in cloud platforms and data analysis, can further increase earning potential.

What is the difference between Python Salary In vs Data Analyst Salary In?

AspectPython Salary InData Analyst Salary In
Required CredentialsProficiency in Python, data manipulation, and scripting skillsProficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, software firms, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed for automation, data analysis, and backend developmentUsed for reporting, data interpretation, and decision support

Python Salary In typically involves programming and automation skills, often in tech-focused environments, while Data Analyst Salary In centers on data interpretation and reporting in various industries. Both roles require analytical skills but differ in technical depth and daily tasks.

Is Python a high paying job?

Python developers often earn high salaries due to the demand for skills in data analysis, machine learning, and web development. Salaries vary based on experience, location, and industry, but Python programming is generally considered a well-compensated skill in the tech field.

How much money can I make with Python?

Python developers' salaries vary based on experience, location, and industry, but entry-level positions typically start around $60,000 annually, while experienced professionals can earn over $120,000. Skills in frameworks, data analysis, or machine learning can increase earning potential, and certifications may also enhance job prospects.

What pays more, C++ or Python?

For Python developers, salaries are generally comparable to or slightly higher than C++ developers, especially in fields like data science, machine learning, and web development. C++ roles often require specialized skills in systems programming or embedded systems, which can also command high pay. Overall, salary differences depend on experience, industry, and location, but Python's versatility in various high-demand areas often leads to higher compensation opportunities.
What job categories do people searching Python Salary In jobs in Utah look for? The top searched job categories for Python Salary In jobs in Utah are:
What cities in Utah are hiring for Python Salary In jobs? Cities in Utah with the most Python Salary In job openings:
Portfolio Analytics Architect

Portfolio Analytics Architect

Addepar

Salt Lake City, UT โ€ข On-site

$103K - $129K/yr

Other

Re-posted 3 days ago


Job description

The Role

A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills and the ability to deliver results in adherence with project deadlines while meeting high quality standards. They are passionate about understanding our clients needs, take a hands-on approach to solving problems, work collaboratively with internal teams and take ownership of our clients success.

Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.

The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $103,000 - $129,000 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You'll Do
  • Lead the data validation process end-to-end with the client and internal projects teams
  • Develop scalable data analytics processes for validation in Databricksย 
  • Write custom Python logic to detect large-scale data anomalies and automate remediation
  • Facilitate recurring client sessions to track progress and steer the data validation project through to completion.
  • Support clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix manual data issues
  • Review, compare and document system calculation methodologies differences
  • Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations
  • Mitigate project risks by effectively escalating key impediments to stakeholders and executive leadership.
  • Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line
  • Identify and implement AI-driven automation and LLM integrations to streamline implementation
Who You Are
  • B.S in Finance, Mathematics, Statistics, Business or Economics
  • 2+ years experience working in Technology, Finance, or Consulting
  • Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources
  • Proficiency in Python, Spark, and/or SQL with familiarity of ETL fundamentals
  • Working knowledge of REST APIs
  • Experience with Databricks and/or a cloud-based distributed data platform
  • Solution-oriented approach and a passion for problem solving
  • Proven ability to research, design and implement solutions for complex problems
  • Positive attitude, strong work ethic, proactive and a high contributing team player
  • Independent, adaptable and can thrive in a fast-paced environment
  • Excellent communication and presentation skills, with proficiency in handling client objections