Senior Data Engineer
Plano, TX, United States
JPMorgan Chase & Co.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
A Senior Data Engineer at FIGG is a software engineer with proficiency in data. The data engineer will build and maintain the FIGG data warehouse which is used for both reporting and analytics across the company. The individual works cross functionally with technical and business teams to identify opportunities to better leverage data. The data comes from a variety of sources and it is the responsibility of the data engineer to make sense of the data using cloud based systems (AWS) and provide a reliable and structured format to meet the different business needs at FIGG.
FIGG is a leading transaction-based digital advertising platform company with a mission to uncover value in everyday transactions. The company’s advanced transaction-based platform, driven by $500 billion in transactions annually, provides advertisers with precise targeting and comprehensive attribution data. The FIGG platform delivers dynamic consumer offer experiences for financial institutions, banks, fintechs and digital platforms in the United States. Driven by innovation, FIGG is disrupting how brands engage with customers through the industry’s most diverse advertiser-funded, card-linked offer portfolio.
Job responsibilities
- Collaborate with the team to build out features for the data platform and consolidate data assets
- Build, maintain and optimize data pipelines built using Spark
- Advise, consult, and coach other data professionals on standards and practices
- Work with the team to define company data assets
- Migrate Figg’s data platform into Chase’s environment
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
- Build libraries to standardize how we process data
- Loves to teach and learn, and knows that continuous learning is the cornerstone of every successful engineer
- Has a solid understanding of AWS tools such as EMR or Glue, their pros and cons and is able to intelligently convey such knowledge
- Implement automation on applicable processes
Required qualifications, capabilities, and skills
- Formal training or certification on Oracle or comparable relational database concepts and 5+ years applied experience
- 5+ years of experience in a data engineering position
- Proficiency is Python (or similar) and SQL
- Strong experience building data pipelines with Spark
- Strong verbal & written communication
- Strong analytical and problem solving skills
- Experience with relational datastores, NoSQL datastores and cloud object stores
- Experience building data processing infrastructure in AWS
- Experience with infrastructure as code solutions, preferably Terraform
- Cloud certification
- Production experience with ACID compliant formats such as Hudi, Iceberg or Delta Lake
- Familiar with data observability solutions, data governance frameworks
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Data governance Data pipelines Data warehouse Engineering NoSQL Oracle Pipelines Python RDBMS Spark SQL Terraform
Perks/benefits: Career development Competitive pay Health care Wellness
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