At a Glance
- Tasks: Shape financial data strategies and build integration pipelines at Instacart.
- Company: Join Instacart, a leader in innovative grocery delivery solutions.
- Benefits: Flexible work model, competitive salary, and opportunities for mentorship.
- Other info: Dynamic environment with a focus on collaboration and career growth.
- Why this job: Make a real impact on financial data infrastructure and mentor fellow engineers.
- Qualifications: 8+ years in Data/Software Engineering with expertise in Python and SQL.
The predicted salary is between 118800 - 145200 $ per year.
Shape financial data strategies at Instacart as a Lead Data Engineer II. Utilize your strong background in data engineering to enhance our systems in a flexible work model.
As a Lead Data Engineer II, you will play a crucial role in building integration pipelines for financial data at Instacart.
Collaborating with finance and accounting teams, you will address key data challenges while mentoring others and promoting best practices in engineering.
This role empowers you to influence the direction of financial data infrastructure projects.
Key
Responsibilities
- Work directly with finance to identify and solve data challenges
- Mentor and elevate other engineers in their practice
- Spearhead initiatives from concept to successful execution
- Contribute to the financial data vision and roadmap
- Ensure pipelines allow for reliable financial auditing and reporting
Requirements
- Over 8 years in a relevant Data/Software Engineering role
- Experience with cloud data warehousing solutions
- Proficient in technologies like Python, Airflow, and Spark
- Expertise in financial data modeling and SQL
- Experience with complex ETL/ELT creation and management
Impact Instacart’s financial operations by enhancing the engineering framework and delivering high-quality data solutions. #J-18808-Ljbffr
Lead Data Engineer II for Financial Systems in Winnipeg employer: EngineersOfAI
At Stripe, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our ML Infra team. Our vibrant work culture encourages continuous learning and growth, offering employees the chance to tackle meaningful challenges in machine learning infrastructure while enjoying competitive benefits and a supportive environment. Located in a dynamic tech hub, we provide unique opportunities for professional development and the chance to make a significant impact in the world of payment solutions.
