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Python Sql R Excel Data Jobs (NOW HIRING)

Data Engineer

Chicago, IL

$118K - $141K/yr

Leverage automation software and programming languages (e.g., Python, SQL, R, Spark to help streamline digital solutions * Prioritize data governance and data management best practices * Work with ...

Data Engineer

Miami, FL

$109K - $131K/yr

Leverage automation software and programming languages (e.g., Python, SQL, R, Spark to help streamline digital solutions * Prioritize data governance and data management best practices * Work with ...

... SQL, R, Python). * Proficient in executing of the following: * Advanced statistical modeling ... Data engineering concepts * Optimization model methodologies * Forecasting model development and ...

BI Programmer

Portland, OR · On-site

$70/hr

Hands-on knowledge of database tools SQL. Knowledge of programming languages like Python, Java, and R. Excel, Agile, Data modeling, Data analytics, Data mining, Data visualization. Familiarity with ...

Python Developer - Hybrid

Raleigh, NC · Hybrid

$48.75 - $67.25/hr

Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation. Knowledge of and experience in leveraging Applied ...

Data Engineer - AWS, Python, SQL

Roanoke, TX

$109K - $132K/yr

Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT), Messaging Technologies (ActiveMQ, Kafka), Relational and NoSQL databases (Cassandra ...

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to ...

If so, being a Data Scientist with Frost could be for you. At Frost, it's about more than a job. It ... packages like Python, SQL, R, SAS, etc. * Develop, manage, and deploy analytical solutions

If so, being a Data Scientist with Frost could be for you. At Frost, it's about more than a job. It ... packages like Python, SQL, R, SAS, etc. * Develop, manage, and deploy analytical solutions

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Python Sql R Excel Data information

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How much do python sql r excel data jobs pay per year?

As of Jun 9, 2026, the average yearly pay for python sql r excel data in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are Python, SQL, R, and Excel data jobs?

Python, SQL, R, and Excel data jobs involve working with various tools and programming languages to collect, process, analyze, and visualize data. Professionals in these roles use Python and R for data analysis and statistical modeling, SQL for managing and querying databases, and Excel for organizing, cleaning, and presenting data. These skills are commonly required for data analyst, data scientist, and business intelligence positions. The work typically includes extracting insights from large datasets to support decision-making in organizations.

What are the key skills and qualifications needed to thrive as a Data Analyst specializing in Python, SQL, R, and Excel, and why are they important?

To excel as a Data Analyst with a focus on Python, SQL, R, and Excel, you need strong analytical abilities, proficiency in data manipulation, and a relevant degree in fields such as statistics, computer science, or mathematics. Expertise in using Python and R for data analysis, SQL for database querying, and advanced Excel functions is typically required, along with familiarity with data visualization tools. Attention to detail, critical thinking, and effective communication are important soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate analysis, actionable reporting, and the ability to drive business decisions based on data.

How do professionals in Python, SQL, R, and Excel Data roles typically collaborate with other teams within an organization?

Professionals skilled in Python, SQL, R, and Excel often work closely with cross-functional teams such as business analysts, data engineers, and decision-makers. They are frequently responsible for transforming raw data into actionable insights, automating data workflows, and supporting reporting needs. Collaboration usually involves gathering requirements, sharing data visualizations, and ensuring data integrity across departments. Effective communication and teamwork are essential, as solutions must align with both technical standards and business objectives.

$118K - $141K/yr

Other

Posted 8 days ago


Job description

Our Data Engineer role is housed in our Digital & Data business unit and will focus on supporting our GIS and Data Engineers to help automate processes and expand our digital capabilities. The ideal candidate will have a strong background in managing tasks in complex projects, collaborating with project teams, and interfacing directly with clients in the engineering consulting sector. This role requires a strategic thinker who can translate business challenges into data-driven solutions, guiding projects from inception to successful completion.

A successful candidate should be able to oversee cross-functional teams from engineering and digital domains and work with our digital team ensure high quality delivery of innovative solutions. Technical proficiency in Data Science, Data Engineering, Data Management, Visualization and AI are important to this role. The ability to communicate complex technical concepts to non-technical stakeholders and drive business value through data-driven insights is crucial for success in this position.

Location:

We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work. This role can be located anywhere in the United States that's close to a Jacobs office.

[1] https://www.jacobs.com/locations/americas/united-states

Responsibilities:

  • Leverage automation software and programming languages (e.g., Python, SQL, R, Spark to help streamline digital solutions

  • Prioritize data governance and data management best practices

  • Work with GIS teams and Power BI groups to help find new ways to deliver integrated solutions more effectively

  • Ability to create GIS and Power BI exhibits and support respective teams

  • Support our internal digital team in project support and solution scalability

  • Work with project managers and clients to understand needs and be able to come up with digital solutions to fill those needs

  • Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

References

Visible links

  1. https://www.jacobs.com/locations/americas/united-states

• 3+ years of professional experience in consulting, digital solutions, data engineering, data management, data analysis, GIS, engineering, and visualization

• Expertise in tools and platforms such as Microsoft Azure, Microsoft Fabric, Dataverse, Python, SQL, Power Platform (Power BI, Power Apps, Power Automate), GIS, and database technology (data lakes, vector database, etc.)

Preferred:

• Experience in AI-enabled solutions and services

• Experience in effectively implementing generative AI (GenAI) and large language model (LLM) solutions

• Experience in the AEC (Architectural, Engineering, and Consultant) industry or related industries

• Experience with DevOps, Jira, or related

• Degree in data science, statistics, computer science, computer engineering, or information systems

• Supply Chain and Asset Management experience is a plus

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Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.