Uplift
Menlo Park, CA
51-200 employees
Uplift is an enterprise Buy Now, Pay Later solution solving the complex requirements of the world’s leading travel, hospitality, retail, and ecommerce brands.
Senior Data Engineer, Capital Management
Senior Data Engineer, Capital Management
This job is no longer open
Uplift’s mission is to help people get more out of life, one thoughtful purchase at a time. Our enterprise Buy Now, Pay Later solution is used by the world’s most loved brands including Southwest Airlines, Carnival Cruise Line, Universal Studios, and more. With flexible pay over time installments, we empower consumers to buy what matters most while unlocking higher conversions and customer lifetime value for our partners.
Our team is rapidly growing and comes from diverse backgrounds of leading technology and financial brands. Our HQ is in Sunnyvale, CA with offices in Toronto, New York, Reno, and Guadalajara, Mexico.
Working at Uplift allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
The Finance and Capital Engineering Squad is an interdisciplinary team of subject matter experts in capital markets, Financial Analysts, Data Analysts, and Data Engineers. As a Senior Data Engineer, we aim to design, implement, and operate a portfolio of financial processes with technology to be the best in class in Capital Operations. We deliver business value in financial and organizational agility through process automation, accurate data, and auditability support. We use many industry-leading technologies like Apache Spark, Delta Lake, Snowflake, and AWS. We also work closely with the rest of the Data Engineering team, who continues to build up the next-generation data lake on Databricks.
Our data pipelines and application stacks are mission-critical, and we move millions of dollars with each transaction. Come join us!
What you will do and achieve
- Be a jack of all trades and a master of two: Data Engineering and Capital Markets
- Design, build and maintain mission-critical data pipelines in AWS that support our Capital Markets operations
- Understand Capital Markets business processes/activities, and improve them with technology: automating manual processes, building alerting/monitoring bots, designing investor-facing workflows, etc.
- Adapt and evolve the Loan & Transaction data models, as new features and products are launched
- Help Data/Financial Analysts and Data Scientists to extract actionable insights from data that shape our Capital Markets strategy and the direction of the company as a whole
- Actively engage in design and code reviews - learn from your peers and teach your peers
- Take a part in researching and proposing new technologies and tooling for the Capital team’s Data and Application stacks
Who you are
- Passion for data both big and small, and passion for delivering business value
- Interest in learning about Capital Markets and Finance (no prior experience necessary)
- Strong communication skills to translate complicated technology and data issues into business-friendly, simple language
- Solid Python skills to get jobs done with decimal-point precisions and without NumPy/Pandas
- Solid SQL skills beyond DQL
- Familiarity with AWS, or any other cloud infrastructure. We are all-in on AWS!
- Familiarity with cloud data warehouse and data lakes: we use Snowflake and Databricks
- Ability to align with rapid business changes: new requirements, evolving goals and strategies, and technological advancements
- Comfortable working in a startup culture with the ability to earn trust: entrepreneurial, persistent, with the desire to go deep into details
Set yourself apart with
- BA/BS degree in Engineering, CS, or equivalent, Master's degree preferred
- 5+ years of experience in data and/or software
- Experience in Apache Spark (PySpark specifically), Apache Airflow
- Experience with data warehouses and data lakes – we use Snowflake & Databricks
- Experience with big data, ETL, and data modeling
- Experience in developing and operating high-volume, high-available and scalable environments
Life at Uplift
- Health Insurance and 401k plan: some plans cover 99-100% premiums for medical, dental, and vision insurance and a 401k plan
- Work/Life Harmony: Flexible, remote-first work culture. Uplift fosters a culture where employees can achieve both their professional and personal goals. This balance is especially true for our working parents
- Shared Success: competitive salary and Pre-IPO stock options
- Health and Wellness Perks: Uplift is proud to reimburse our employees for exercise, wellness products and activities as well as free counseling and coaching for physical, mental and emotional support
- Professional Development: We are committed to the growth and development of all of our employees. Uplift invests in professional conferences, certifications, and training for employees who want to grow in their careers
- Pick-A-Perk: money that can go towards something of your choosing within tuition reimbursement, student loan payment reimbursement, vacation savings account, charitable donations, or home office expenses
#LI-Remote
#LI-BC
We want you!
If you made it this far, chances are you’re as excited about working to change how people experience BNPL as we are — and we love that. Please apply even if you’re unsure about whether you meet every single requirement in this posting. Uplift is looking for smart, intellectually curious people who are invested in our mission, not just those who can “check all the boxes”.
Uplift is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Note: Uplift does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Uplift is not responsible for any fees related to unsolicited resumes.
This job is no longer open