Lead Software Engineer - AWS & DataBricks
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.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector Technology, Data & Analytics Service, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Provides guidance to immediate team of software engineers on daily tasks and activities
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Anticipates dependencies with other teams to deliver products and applications in line with business requirements
- Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
- Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation
Required qualifications, capabilities, and skills:
- Must be hands on with experience in data mapping, data architecture, and data modeling on Databricks
- Extensive experience in AWS, Design, implementation, and maintenance of data pipelines using Python, pyspark on Databricks
- Strong proficiency in Python, and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional)
- Extensive experience in Databricks Data engineering (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming)
- Experienced in standing up and maintaining EC2 instances, Kubernetes clusters and Lambda services
- Strong experience in building Notebooks with complex code structures and debugging failed jobs.
- Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
- Proven ability to deliver high quality features into production system in a rapid paced, iterative development environment.
Preferred qualifications, capabilities, and skills:
- Experience working at code level.
- Strong in AWS cloud & Spark, Databricks.
- Strong Python skills.
- Experience in UI design using React.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation 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.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Banking Databricks Data pipelines EC2 Engineering Kubernetes Lambda Pipelines PySpark Python React Spark Streaming
Perks/benefits: Career development Competitive pay Equity / stock options Health care Team events Wellness
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