Python Developer Jobs

Principal Software Engineer - Core Infrastructure (Python/C++) — 2 Locations. Apply via Workday.

Manager, Software Engineering (Python) - 2 days Onsite - Chicago, IL - FreeWheel — IL - Chicago, 350 N. Orleans St 1300N. Apply via Workday.

Sr. Python Engineer, Agentic AI — DC - Washington, 1325 G ST NW STE 300. Apply via Workday.

Python Engineer, Agentic AI — 2 Locations. Apply via Workday.

Sr. Data Python Engineer - FreeWheel — 2 Locations. Apply via Workday.

Senior Backend Engineer (Python or PHP) - New York - ONSITE 4X Week — NY - New York, 1407 Broadway Floor 12. Apply via Workday.

Python or GoLang Software Engineer (Tier-2) - 2 Days Onsite in Reston, VA - FreeWheel — VA - Reston, 11951 Freedom Dr Ste 900. Apply via Workday.

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. This role is offered as a hybrid role from London, the United Kingdom. We are only able to accept applications from those based in the UK or who have sponsorship to live and work in the UK. #LI-Hybrid What you’ll do at Jamf : &

Where Performance Meets Purpose Iconic golf brands. Commitment to excellence. Colleagues who care. Working at Acushnet Europe means you bring your background and experience to a company with a rich history of creating the best products for dedicated golfers around the world. Your performance has purpose at Acushnet Europe. Based in St Ives, Cambridgeshire, our golf products are recognized globally for their unmatched quality, made possible by the dedication and pride we put into everything we do. Looking to kick-start your career in data analytics with a global company? We're looking for a Data Analyst to join our team on a 6-month fixed-term contract. This is an excellent opportunity for a graduate or someone early in their analytics career to gain hands-on experience in a global business, supporting our Brand, Sales and Business Intelligence teams with meaningful data and insight. What you'll be doing 🔹 Collecting and analysing market, sales and consumer data. 🔹 Updating and maintaining Power BI dashboards and reports. 🔹 Designing, analysing and reporting on consumer surveys. 🔹 Supporting Brand and Sales teams with ad hoc analysis and reporting. 🔹 Assisting the BI team with data preparation and SAP-related projects. 🔹 Improving customer segmentation and business reporting. 🔹 Helping colleagues make better use of data and visualisation tools. What we're looking for 🔹 Degree-level education or equivalent. 🔹 Some experience in data analysis, business intelligence, market research or reporting through work experience, internships or university projects. 🔹 Strong Excel skills and experience using Power BI or similar reporting tools. 🔹 A curious, analytical mindset with excellent attention to detail.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary As a member of the Strategic Intelligence and Automation team you will be part of a nimble team that lives in and amongst data. We specialize in automating the movement of data, integrating data analysis to create new business processes, and reporting out the findings of our analysis. As part of the team you will: Build ETL workflows using Dataiku and Python to receive, manipulate and populate data Collaborate with cross-functional teams, including product managers, clinical support, and designers, to gather and document product requirements Support direct team members in testing and troubleshooting and documenting work Aid in retaining our client base by researching and resolving client issues by writing queries and analyzing data Answer internal questions by investigating the data sets Contributes to knowledge management initiatives to ensure that knowledge and best practices are understood and shared across the organization Actively contributes to team meetings, brainstorming sessions, and collaborative projects, including sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team Assists in maintaining our integrated high-performance culture Required Qualifications Intermediate understanding of SQL language 2+ years experience in ETL wo

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for enterprise Collateral models for user acceptance testing and provide feedback. Your Impact: Manage a team of three to four people Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management Follow appropriate controls and standards established to maintain and document for processes & reports. Participate in performing ad-hoc analytics in support of collateral policy Cleanse, manipulate and analyze large datasets using statistical software Collaborate with team members and interact across organizational lines to meet business objectives Qualifications: Degree in

Become a part of our caring community The Financial Analytics Professional 2 manages data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues. The Financial Analytics Professional 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Financial Analytics Professional 2 collates, models, interprets and analyzes data in order to identify, explain, influence variances and trends. Explains variances and trends in clinical and financial data and enhances modeling techniques to improve forecast accuracy. May possess financial or actuarial background. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. Use your skills to make an impact Required Qualifications Bachelor's Degree 1&#43; years SQL and Python experience Microsoft Office (Excel, Power BI, etc.) Experience in compiling, modeling, interpreting and analyzing data in order to identify, explain, influence variances and trends Explain variances and trends and enhance modeling techniques Experience in managing data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Business Intelligence, Financial, or Actuarial background Azure Databricks experience</

The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys) About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here <span style="color:#00

About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building toward an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. As a Senior Data Analyst for Target's IT Data Platform Analytics team you'll: <p style="co

About us: Working at Target means helping all families discover the joy of everyday life. About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building towards an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. <p style="color:!im