Lead Data Engineer (Python/Java/AWS)
FICO (NYSE: FICO)is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
“We’re looking for the best talent to join our world class team of professionals. As a member of our software team in Analytics and Scores Development at FICO, you will be an integral part of the programming team working closely with our data scientists and researchers to write code, explore a multitude of big data sources, build datasets and support the overall analytic software development lifecycle.” - Principal Scientist, Analytic Software.
What You’ll Contribute
Collaborate with data scientists to ensure data is accurately extracted, transformed, and loaded for analysis and decision-making.
Effectively collaborate and partner with various Scores stakeholders to deliver data driven solutions that support strategic Scores initiatives.
Ability to analyze, interpret, and manipulate large data sets to support analytic research and model development efforts.
Ability to deliver high level results supporting business-critical projects within expected timelines.
Use internal technologies in the development, maintenance and improvement of tools and processes to help solve challenging business problems in predictive analytics.
Support our existing code base and the overall analytic SDLC.
Demonstrate self-initiative and innovation by writing new code to continuously evaluate and improve existing code base.
Apply advanced data transformation techniques to optimize the processing of large datasets
Work closely with the data scientists and other data engineers in constructing the best methodologies in generating new tools, code and datasets based on project requirements.
What We’re Seeking
BS degree in Computer Science, Engineering, Information Technology, Management Information Systems (or equivalent work experience).
Prior/current experience working with U.S. Credit Bureau data (Preferred).
Proven programming skills in Python (Highly Preferred), Java/Groovy, Perl and/or Shell scripting.
Demonstrated expertise utilizing Linux (RedHat) and Windows operating systems.
Expertise in AWS services- SageMaker, Jupyter Notebooks, S3, Athena, Python (AWS Certifications are a plus).
Proven expertise analyzing large datasets and applying data-cleaning techniques along with strong data wrangling skills and experience working with big data technologies.
Strong team-player with great communication skills.
High proficiency with VS Code and notebook interfaces such as Jupyter.
Adept at translating business problems into executable code.
Ability to use statistical software and data manipulation tools for purposes of data quality evaluation.
Highly detailed and demonstrates the ability to execute a given process with meticulous precision.
Proficient in auditing results with a critical level of accuracy and detail.
Experience working with big data technology (Spark, Hadoop, etc.).
Familiarity with relational databases (Oracle, mySQL, etc).
Familiarity with Eclipse IDE.
Familiar with version control tools like GitHub or Bitbucket.
Our Offer to You
An inclusive culture strongly reflects our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
• Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
• Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at www.fico.com/Careers
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.
Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy
About the job
Apply for this position
Lead Data Engineer (Python/Java/AWS)
FICO (NYSE: FICO)is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
“We’re looking for the best talent to join our world class team of professionals. As a member of our software team in Analytics and Scores Development at FICO, you will be an integral part of the programming team working closely with our data scientists and researchers to write code, explore a multitude of big data sources, build datasets and support the overall analytic software development lifecycle.” - Principal Scientist, Analytic Software.
What You’ll Contribute
Collaborate with data scientists to ensure data is accurately extracted, transformed, and loaded for analysis and decision-making.
Effectively collaborate and partner with various Scores stakeholders to deliver data driven solutions that support strategic Scores initiatives.
Ability to analyze, interpret, and manipulate large data sets to support analytic research and model development efforts.
Ability to deliver high level results supporting business-critical projects within expected timelines.
Use internal technologies in the development, maintenance and improvement of tools and processes to help solve challenging business problems in predictive analytics.
Support our existing code base and the overall analytic SDLC.
Demonstrate self-initiative and innovation by writing new code to continuously evaluate and improve existing code base.
Apply advanced data transformation techniques to optimize the processing of large datasets
Work closely with the data scientists and other data engineers in constructing the best methodologies in generating new tools, code and datasets based on project requirements.
What We’re Seeking
BS degree in Computer Science, Engineering, Information Technology, Management Information Systems (or equivalent work experience).
Prior/current experience working with U.S. Credit Bureau data (Preferred).
Proven programming skills in Python (Highly Preferred), Java/Groovy, Perl and/or Shell scripting.
Demonstrated expertise utilizing Linux (RedHat) and Windows operating systems.
Expertise in AWS services- SageMaker, Jupyter Notebooks, S3, Athena, Python (AWS Certifications are a plus).
Proven expertise analyzing large datasets and applying data-cleaning techniques along with strong data wrangling skills and experience working with big data technologies.
Strong team-player with great communication skills.
High proficiency with VS Code and notebook interfaces such as Jupyter.
Adept at translating business problems into executable code.
Ability to use statistical software and data manipulation tools for purposes of data quality evaluation.
Highly detailed and demonstrates the ability to execute a given process with meticulous precision.
Proficient in auditing results with a critical level of accuracy and detail.
Experience working with big data technology (Spark, Hadoop, etc.).
Familiarity with relational databases (Oracle, mySQL, etc).
Familiarity with Eclipse IDE.
Familiar with version control tools like GitHub or Bitbucket.
Our Offer to You
An inclusive culture strongly reflects our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
• Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
• Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at www.fico.com/Careers
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.
Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy